World's Best Scientists 2026 revealed!
Computers and Operations Research
H-index 42

Computers and Operations Research

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 21 108 228 31
Computer Science 135 155 273 35
Engineering and Technology 191 109 255 32

Additional Metrics

Number of Best Scientists*: 305
Documents by Best Scientists*: 534
Top 100 Ranked Scientists*: 22
SCIMAGO H-index: 194
SCIMAGO SJR: 1.605
Impact Factor: 4.3

Overview

Top Research Topics at Computers & Operations Research?

Computers & Operations Research investigates areas of study like Mathematical optimization, Algorithm, Operations research, Scheduling (computing) and Heuristic. The research on Mathematical optimization tackled can also make contributions to studies in the areas of Set (abstract data type) and Job shop scheduling. The study on Job shop scheduling featured in the journal expounds on the topic of Flow shop scheduling in particular.

The study on Algorithm presented in Computers & Operations Research intersects with subjects under the field of Genetic algorithm. Topics in Scheduling (computing) explored in Computers & Operations Research were investigated in conjunction with research in Scheduling (production processes), Schedule and Upper and lower bounds. The Metaheuristic study tackled is a key component of adjacent topics in the area of Local search (optimization).

  • Mathematical optimization (55.53%)
  • Algorithm (18.48%)
  • Operations research (14.93%)

What are the most cited papers published in the journal?

  • Future paths for integer programming and links to artificial intelligence (3020 citations)
  • Variable neighborhood search (2901 citations)
  • ROUTING AND SCHEDULING OF VEHICLES AND CREWS–THE STATE OF THE ART (938 citations)

Research areas of the most cited articles at Computers & Operations Research:

The journal articles explore disciplines such as Mathematical optimization, Algorithm, Operations research, Scheduling (computing) and Heuristics. Issues in Mathematical optimization were discussed in the published articles, taking into consideration concepts from other disciplines like Vehicle routing problem and Job shop scheduling. The most cited publications with studies in Scheduling (computing) featured incorporate elements of Scheduling (production processes) and Schedule.

What topics the last edition of the journal is best known for?

  • Statistics
  • Cancer
  • Law

The previous edition focused in particular on these issues:

The journal mainly tackles studies in Mathematical optimization, Operations research, Integer programming, Heuristic (computer science) and Routing (electronic design automation). Specifically, studies on Column generation are prevalent in the Mathematical optimization works discussed. While work presented in it provided substantial information on Operations research, it also covered topics in Robust optimization, Health care, Upstream (petroleum industry), Workload and Programming paradigm.

Inventory management, Finite set, Line (geometry), Nonlinear system and Selection (relational algebra) are some topics wherein Integer programming research discussed in the journal have an impact. In it, Motion planning, Inventory routing problem, Job scheduler, Branch and price and Combinatorial optimization are investigated in conjunction with one another to address concerns in Heuristic (computer science) research. Computers & Operations Research explores issues in Routing (electronic design automation) which can be linked to other research areas like Block (data storage), Open problem, Server and Service (systems architecture).

The most cited articles from the last journal are:

  • Exact solution approaches for integer linear generalized maximum multiplicative programs through the lens of multi-objective optimization (1 citations)
  • An iterative security game for computing robust and adaptive network flows (0 citations)
  • Stochastic mixed-integer programming for a spare parts inventory management problem (0 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Computers & Operations Research (based on the number of publications) are:

  • Gilbert Laporte (92 papers) absent at the last edition,
  • T.C.E. Cheng (39 papers) absent at the last edition,
  • Bruce L. Golden (37 papers) absent at the last edition,
  • Michel Gendreau (34 papers) absent at the last edition,
  • Rafael Martí (26 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Computers & Operations Research (based on the number of publications) are:

  • HEC Montréal (115 papers) absent at the last edition,
  • College of Business Administration (93 papers) absent at the last edition,
  • École Polytechnique de Montréal (84 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • University of Maryland, College Park (81 papers) absent at the last edition,
  • University of Seville (74 papers) published 1 paper at the last edition, 5 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2022 edition, 14.63% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.57% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.57% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.57% of all publications and 74.29% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

    Rohit Sharma;Sachin S. Kamble;Angappa Gunasekaran;Vikas Kumar

    (2020)
    709 Citations
  • Hybrid genetic search for the CVRP: Open-source implementation and SWAP* neighborhood

    Thibaut Vidal;Thibaut Vidal

    (2021)
    167 Citations
  • Knapsack problems - An overview of recent advances. Part II: Multiple, multidimensional, and quadratic knapsack problems

    (2022)
    141 Citations
  • A review of vehicle routing with simultaneous pickup and delivery

    Çağrı Koç;Gilbert Laporte;Gilbert Laporte;İlknur Tükenmez

    (2020)
    133 Citations
  • A simulation-based heuristic for the electric vehicle routing problem with time windows and stochastic waiting times at recharging stations

    Merve Keskin;Merve Keskin;Bülent Çatay;Gilbert Laporte;Gilbert Laporte

    (2021)
    123 Citations
  • Impeding challenges on industry 4.0 in circular economy: Palm oil industry in Malaysia

    Asma-Qamaliah Abdul-Hamid;Mohd Helmi Ali;Mohd Helmi Ali;Ming-Lang Tseng;Ming-Lang Tseng;Ming-Lang Tseng;Shulin Lan

    (2020)
    104 Citations
  • IoT and digital twin enabled smart tracking for safety management

    Zhiheng Zhao;Leidi Shen;Chen Yang;Wei Wu

    (2021)
    99 Citations
  • Predicting solutions of large-scale optimization problems via machine learning: A case study in blood supply chain management

    Babak Abbasi;Toktam Babaei;Zahra Hosseinifard;Kate Smith-Miles

    (2020)
    93 Citations

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree in the USA opens numerous pathways, including online education options that cater to diverse needs. For those seeking flexibility, exploring the easy masters degrees online can be a strategic choice to advance your skills without overwhelming time commitments.

Graduate students looking for further specialization often consider doctorate programs. Fortunately, many institutions offer affordable online doctoral programs, making it financially feasible to reach the highest academic levels while balancing work and life responsibilities.

Financing education is a critical concern, and attending FAFSA approved online colleges ensures access to federal financial aid, significantly reducing the cost barrier for many students pursuing Computer Science degrees remotely.

Besides degrees, gaining industry-recognized skills through online certification courses is another excellent route. Certifications can quickly boost your employability and earning potential in IT fields without requiring lengthy academic programs.

Best Scientists Contributing to This Journal

Recently Published Articles