| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 228 | 59 | 101 | 11 |
| Engineering and Technology | 755 | 30 | 44 | 11 |
Operations Research Letters mainly tackles studies in Mathematical optimization, Surgery, Combinatorics, Discrete mathematics and Pathology. Topics in Mathematical optimization explored in it were investigated in conjunction with research in Algorithm and Scheduling (computing), Job shop scheduling. Operations Research Letters investigates Surgery research which frequently intersects with Anesthesia.
It centers on topics in Combinatorics, with a focus on Time complexity. Research on Pathology addressed in it frequently intersections with the field of Anatomy.
The journal publications investigate studies in Mathematical optimization, Combinatorics, Algorithm, Discrete mathematics and Scheduling (computing). The published articles explore research in Mathematical optimization and the adjacent study of Job shop scheduling. While the journal papers focused on Combinatorics, they were also able to explore topics like Upper and lower bounds and Travelling salesman problem.
The primary areas of discussion in the journal are Mathematical optimization, Applied mathematics, Surgery, Internal medicine and Combinatorics. The work on Mathematical optimization addressed in it expands to the thematically related Markov decision process. The Applied mathematics works featured in Operations Research Letters incorporate elements from Queue and Nonlinear system.
Complication and Airway are all aspects of Surgery research featured in the journal. The journal links adjacent topics like Internal medicine with Gastroenterology.
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 Operations Research Letters (based on the number of publications) are:
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 Operations Research Letters (based on the number of publications) are:
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.
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 2021 edition, 5.11% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.31% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.11% of all publications and 70.40% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Christos Ordoudis;Viet Anh Nguyen;Daniel Kuhn;Pierre Pinson
(2021)Abbas Kazerouni;Lawrence M. Wein
(2021)Yuan Yuan;Diego Cattaruzza;Maxime Ogier;Frédéric Semet
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