| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Business and Management | 5 | 164 | 419 | 75 |
| Engineering and Technology | 19 | 177 | 535 | 75 |
International Journal of Production Research mainly deals with areas of study such as Mathematical optimization, Operations research, Production (economics), Supply chain and Scheduling (production processes). The studies on Mathematical optimization discussed can also contribute to research in the domains of Algorithm and Scheduling (computing), Flow shop scheduling, Job shop scheduling. While Operations research is the focus of it, it also provided insights into the studies of Production manager and Process (engineering).
The journal addresses concerns in Production (economics) which are intertwined with other disciplines, such as Manufacturing engineering and Industrial engineering. The journal facilitates discussions on Supply chain that incorporate concepts from other fields like Industrial organization and Operations management. The research on Scheduling (production processes) discussed in the journal draws on the closely related field of Dynamic priority scheduling.
The journal articles are mainly concerned with subjects like Operations research, Mathematical optimization, Supply chain, Production (economics) and Process (engineering). The journal articles explore research in Scheduling (production processes) and overlapping concepts in Industrial engineering to expand the discourse in Operations research. The featured Mathematical optimization studies in the most cited papers mainly concentrate on Algorithm but also cover areas of interest in Group technology.
The foci of the journal are Supply chain, Mathematical optimization, Industrial organization, Scheduling (production processes) and Production (economics). The concepts on Supply chain presented in the journal can also apply to other research fields, including Environmental economics, Risk analysis (engineering), Sustainability and Process management. The research on Mathematical optimization featured in International Journal of Production Research combines topics in other fields like Job shop scheduling and Flow shop scheduling.
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 International Journal of Production Research (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 International Journal of Production Research (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, 2.94% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.27% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.22% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.81% of all publications and 64.71% 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.
Our insights from top educational institutions around the world can enrich your understanding of the scope of production research. Prestigious institutions such as great business schools in Mississippi delve deep into production research, focusing on areas such as Mathematical optimization, Operations research, and Supply chain, among others.
The presence of research from these institutions in the International Journal of Production Research testifies to the journal's dedication to presenting cutting-edge research on a variety of topics. Through collaborative work and intellectual diversity, these institutions contribute significantly to the field and the journal's development.
Dmitry A. Ivanov;Alexandre Dolgui
(2020)Rameshwar Dubey;Angappa Gunasekaran;Stephen J. Childe;Samuel Fosso Wamba
(2021)Mehrdokht Pournader;Yangyan Shi;Stefan Seuring;S. C. Lenny Koh
(2020)Paolo Rosa;Claudio Sassanelli;Andrea Urbinati;Davide Chiaroni
(2020)Yanling Chang;Eleftherios Iakovou;Weidong Shi
(2020)Sachin S. Kamble;Angappa Gunasekaran;Neelkanth C. Dhone
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