Journals in Decision sciences
Journals in Decision sciences
Our Decision Sciences titles care essential reading for students and professionals, and cover key topics in decision support systems, and global logistics, among other areas of research and practice
Computers & Operations Research
Computers & Operations Research is a privileged forum for state-of-the-art work exploring the theory and practice of Operations Research (OR) intertwined with advanced computational methodologies. The journal publishes high-quality innovative and impactful research articles in theories, modeling, algorithms, and applications of Operations Research.Since its first volume was printed in 1974, the journal has promoted different OR application areas that include but are not limited to Transportation, Logistics, Manufacturing, and Supply Chain Management. The journal has also triggered new trends in OR models and techniques such as Data Analytics, Decision-making under Uncertainty, and Behavioral OR. A strong focus has been put on recent advances in Statistics, Data Science, and Machine Learning.The form, content, and language of the articles should take cognizance of the breadth of applications covered by OR and of the consequent fact that many readers may not be experts in the scientific field to which the computer and operations research techniques are applied by the author. In particular, the abstract should concisely describe:1. the investigated problem(s), 2. the theoretical or methodological contribution, and 3. the insights.The journal is structured around seven major areas which, nonetheless, are not disjointed:Transport... and Supply Chains; Production and Scheduling; Decision-Making under Uncertainty and Data Analytics; Optimization—Exact Methods; Optimization—Approxi... Methods; Machine Learning and Data Science. The journal also publishes state-of-the-art surveys and best practice guides in Analytics, Operations Research, and Management Science. These articles are printed in a special section, “Surveys in Operations Research and Management Science”. Submissions can focus on theory or applications of OR/MS and can be of several types, including but not limited to: 1. Results that are considered standards by experts in the community but which have not been documented in textbooks; 2. Standard results which have been, in some way, streamlined, such as, for example, new proof techniques leading to more elegant derivations of known results; 3. New developments in methodology or new application areas ('hot topics'). A survey should be critical with respect to the existing knowledge and should focus on computational and algorithmic aspects. The journal publishes focused issues on topics of interest related to its editorial mission. Such issues typically contain between six and twelve articles. They are put together within an eighteen-month period under the responsibility of one or several guest editors. Prospective guest editors are encouraged to contact the Editor-in-chief.Full... reproducible results are core for papers accepted for publication in the journal. Hence, authors should grant full access to the data and codes underlying their work. Further information on different possibilities to accomplish this can be found at https://www.scienced... Best Paper AwardEvery year, the journal’s editors select one paper to receive the “CAOR Annual Best Paper Award”. The paper will be made free-to-view for one year, thus receiving privileged visibility. The winning and the runner-up papers will also be highlighted on the website in the “Editor’s Choice” section, staying there for one year.Further Information for authorsIt is the responsibility of the authors to ensure that the submitted manuscripts are written using proper English, that possible grammatical or spelling errors are eliminated and that the text conforms to correct scientific English. Submissions that do not satisfy these criteria may be rejected without being sent to reviewers.All full-length research papers published in the journal must demonstrate constructive algorithmic complexity and extensive numerical experiments. Numerical illustrations (examples) are not sufficient: the numerical experiments must have a scientific value of their own, particularly with comparisons to other approaches. The use of real-world data is also valued. In CAOR, (meta)Heuristics other than well-established algorithms such as evolutionary algorithms or ant colony optimization must be described in metaphor-free language. This is a way to ensure that they are immediately comparable to existing algorithms. The Harvard style is adopted in the journal for the bibliography. Authors should consider this while preparing their manuscripts, especially when preparing tables and charts involving bibliography references.The highly innovative contributions targeted by the journal prevent it from endorsing papers that present long and unsolvable formulations for variants or extensions of existing problems and then resort to a well-established approximate method to find approximate solutions. CAOR does not endorse papers emerging in the context of warfare activities planning. The authors working in that and related fields should look for specialized journals.- ISSN: 0305-0548

Operations Research, Data Analytics and Logistics
Healthcare Operations – Humanitarian Logistics – Medical Decision Support - Pharmaceutical OperationsOperations Research, Data Analytics, and Logistics (ORDAL) focuses on understanding and implementing better healthcare for society using quantitative methodology. The core application area is healthcare in the broadest sense. The journal focuses primarily on Healthcare Operations, Humanitarian Logistics, Medical Decision Support, and Pharmaceutical Operations. ORDAL publishes high-quality quantitative approaches for decision-making and decision support in healthcare from researchers and practitioners. ORDAL encourages contributions related to typical problem areas of healthcare, such as acute care, hospital care, specialist care, primary care, home care, long-term care, emergency care, humanitarian care, etc. Contributions can focus on the whole value chain in healthcare, tackling core and support processes. For instance, topics of interest are capacity planning, layout planning, operating room planning, surgical scheduling, patient logistics, appointment scheduling, medical decision-making, etc. ORDAL welcomes contributions, if suitable to the journal’s objectives, in health informatics, health decision support systems, health analytics, health policy, health management, health economics, population health etc. ORDAL stimulates contributions advancing the current state-of-the-art and applying quantitive methodology, such as mathematical programming, stochastic optimization, simulation, data science, artificial intelligence, machine learning, etc., to relevant healthcare-related problems. ORDAL inspires using real-world data in case studies and/or numerical experiments. Ideally, the source data is publicly available.In addition to original research articles, ORDAL publishes, upon reasonable request to the Editor-in-Chief, papers in the following two categories:1) Review papers: ORDAL provides maximum benefit to researchers and practitioners who are genuinely interested in operations research, data analytics, and logistics for better healthcare. Review papers should focus on emerging topics in healthcare and are by invitation only.2) Special Issues (SIs): ORDAL publishes special issues on topics of interest related to its editorial mission. SIs typically contain between six and twelve papers and have a dedicated focus area. One or several guest editors, experts in the field, are responsible for the SI. However, the final decision on all papers will be made by the Editor-in-Chief. Potential guest editors should send a prospective call for papers and informative CVs for the guest editors. Sis should focus on emerging topics in healthcare and are by invitation only.- ISSN: 2211-6923

Operations Research, Data Analytics and Logistics
Healthcare Operations – Humanitarian Logistics – Medical Decision Support - Pharmaceutical OperationsOperations Research, Data Analytics, and Logistics (ORDAL) focuses on understanding and implementing better healthcare for society using quantitative methodology. The core application area is healthcare in the broadest sense. The journal focuses primarily on Healthcare Operations, Humanitarian Logistics, Medical Decision Support, and Pharmaceutical Operations. ORDAL publishes high-quality quantitative approaches for decision-making and decision support in healthcare from researchers and practitioners. ORDAL encourages contributions related to typical problem areas of healthcare, such as acute care, hospital care, specialist care, primary care, home care, long-term care, emergency care, humanitarian care, etc. Contributions can focus on the whole value chain in healthcare, tackling core and support processes. For instance, topics of interest are capacity planning, layout planning, operating room planning, surgical scheduling, patient logistics, appointment scheduling, medical decision-making, etc. ORDAL welcomes contributions, if suitable to the journal’s objectives, in health informatics, health decision support systems, health analytics, health policy, health management, health economics, population health etc. ORDAL stimulates contributions advancing the current state-of-the-art and applying quantitive methodology, such as mathematical programming, stochastic optimization, simulation, data science, artificial intelligence, machine learning, etc., to relevant healthcare-related problems. ORDAL inspires using real-world data in case studies and/or numerical experiments. Ideally, the source data is publicly available.In addition to original research articles, ORDAL publishes, upon reasonable request to the Editor-in-Chief, papers in the following two categories:1) Review papers: ORDAL provides maximum benefit to researchers and practitioners who are genuinely interested in operations research, data analytics, and logistics for better healthcare. Review papers should focus on emerging topics in healthcare and are by invitation only.2) Special Issues (SIs): ORDAL publishes special issues on topics of interest related to its editorial mission. SIs typically contain between six and twelve papers and have a dedicated focus area. One or several guest editors, experts in the field, are responsible for the SI. However, the final decision on all papers will be made by the Editor-in-Chief. Potential guest editors should send a prospective call for papers and informative CVs for the guest editors. Sis should focus on emerging topics in healthcare and are by invitation only.- ISSN: 3050-7847

Automatica
A journal of IFAC, the International Federation of Automatic Control, Automatica is a leading archival publication in the field of systems and control. The field today encompasses a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. Since its inception, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field.Automatica features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience.Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. Papers should be submitted using the on-line review management system Pampus www.autsubmit.com.- ISSN: 0005-1098

Transportation Research Part E: Logistics and Transportation Review
Transportation Research Part E: Logistics and Transportation Review (TR-E) is differentiated from its sister journals (TR-A, TR-B, TR-C, TR-D, and TR-F). As reflected in their title, the commonality between these journals is the focus on ‘Transportation,’ but TR-E is differentiated by specializing in ‘Logistics.’ Of course, it is widely accepted that transportation is undoubtedly one of the most critical components of logistics. TR-E publishes informative and high-quality articles drawn from across the spectrum of logistics components. The related research studies are multi-disciplinary and include (i) hard/ classic logistics research, such as transportation, material handling, packaging, warehousing, inventory, and handling, and so on (ii) soft logistics research by adding Operations Management (OM) and Supply Chain Management (SCM) concepts, tools, and philosophies to the classic logistics, such as sustainability, risk and disruption, circular economy, and artificial intelligence.There are no limitations to the research methods utilized. Therefore, various research methods can be used, such as analytical (e.g., operations research techniques including game theory, queuing theory, dynamic programming, linear, integer, and nonlinear programming), quantitative and qualitative empirical research (e.g., time series, regression, microeconomics), simulation, mixed research methods (e.g., combining surveys and case studies with quantitative data analysis), experimental research (e.g., controlled experiments, lab experiments, and field experiments), case studies (e.g., in-depth analysis), machine learning, artificial intelligence and network analysis (e.g., graph theoretic concept).- ISSN: 1366-5545

Next Research
Next Research is a peer-reviewed multidisciplinary journal, publishing research spanning all scientific technical and medical communities.The journal is part of the Next family, a new suite of multidisciplinary journals from Elsevier spanning all branches of science. Managed by our dedicated team of in-house Editors, Next Research offers authors speed, consistency, innovation, flexibility, and ease of submission.Next Research is an inclusive venue for scientifically accurate manuscripts that meet the ethical and scientific publishing standards. It publishes all research topics across the fields of health sciences, physical sciences, life sciences and social sciences. Next Research publishes experimental, computational, and theoretical work, in traditional formats such as Original Research Articles, Communications and Reviews, as well as novel formats and video content.The journal provides authors with rigorous peer review ensuring articles adhere to a high technical standard, with rapid decisions and a highly visible platform for scientists to share their research.We believe that all rigorous research should be shared.- ISSN: 3050-4759

Journal of Engineering and Technology Management
The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management.The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning.The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.- ISSN: 0923-4748

Research in Social Stratification and Mobility
The Official Journal of the ISA RC28 on Social Stratification and MobilityThe study of social inequality is and has been one of the central preoccupations of social scientists. Research in Social Stratification and Mobility is dedicated to publishing the highest, most innovative research on issues of social inequality from a broad diversity of theoretical and methodological perspectives. The journal is also dedicated to cutting edge summaries of prior research and fruitful exchanges that will stimulate future research on issues of social inequality.- ISSN: 0276-5624

Transportation Research Part A: Policy and Practice
Transportation Research: Part A considers papers dealing with policy analysis (design, formulation and evaluation); planning; interaction with the political, socioeconomic and physical environments; and management and evaluation of transport systems. Topics may be approached from any discipline or perspective: economics, engineering, psychology, sociology, urbanism, etc., but must have a clear policy concern or be of interest for practice, and must be based on solid research and good quality data. The journal is international, and places equal emphasis on the problems of industrialized and non-industrialized regions.Part A's aims and scope are complementary to Transportation Research Part B: Methodological, Part C: Emerging Technologies and Part D: Transport and Environment. Part E: Logistics and Transportation Review. Part F: Traffic Psychology and Behaviour. The complete set forms the most cohesive and comprehensive reference of current research in transportation science.- ISSN: 0965-8564

Journal of Rail Transport Planning & Management
Affiliated with the International Association of Railway Operations ResearchJournal of Rail Transport Planning & Management aims to stimulate the quality of service for railway passengers and freight customers by improving the knowledge on effectiveness and efficiency of capacity management, timetabling, management and safety of railway operations. It covers the whole range of light rail, metro, heavy and high-speed railway systems. The journal will create a platform for regular transfer of knowledge, new tools and discussion of innovative contributions regarding the analysis of passenger and freight railway transport, estimation of traffic demand and capacity, design of timetables, scheduling of trains and crews, dispatching, signalling, train control, automatic train operation, optimal use of rolling stock and energy in order to increase the efficiency and competitiveness of passenger and freight transport.The journal presents innovative theoretical approaches, high-tech concepts, new technological, financing and business management models and tools that can provide higher flexibility, performance and punctuality of trains operating on dedicated lines and in heterogeneous networks. Journal of Rail Transport Planning & Management integrates the expertise from different scientific disciplines as physical planning, transport modelling, traffic analysis, (system) engineering, mathematics, physics, computer science, economics and (transport) policy analysis.The articles accepted comprise generic theoretical research projects, original concise transport and business plans, pilot technical and economic feasibility analyses, as well as genuine impact assessment studies in the railway domain.Journal of Rail Transport Planning & Management supports the development of a “Network of Excellence” in the field of railway system planning, operations research, business development, traffic control and operations management. It brings together academics and professionals who advise governments, railway infrastructure managers, train operating companies and industrial suppliers on promising and successful innovation strategies for railway transport policy, lines, networks, operations and management.- ISSN: 2210-9706
