| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Business and Management | 213 | 15 | 26 | 15 |
| Engineering and Technology | 538 | 21 | 38 | 16 |
Mathematical optimization, Operations management, Supply chain, Operations research and Fuzzy logic are among the topics commonly tackled in Journal of Industrial and Production Engineering. The journal addresses concerns in Mathematical optimization which are intertwined with other disciplines, such as Production (economics) and Scheduling (computing), Job shop scheduling. The majority of Operations management studies presented zero in on Quality (business).
Journal of Industrial and Production Engineering focuses on Supply chain but the discussions also offer insight into other areas such as Microeconomics, Profit (economics) and Industrial organization. The majority of Fuzzy logic studies are focused on the issues of Fuzzy number.
The most cited articles facilitate discussions on Mathematical optimization, Operations management, Supply chain, Production (economics) and Quality (business). While work presented in the most cited articles provide substantial information on Mathematical optimization, it also covers topics in Fuzzy number, Process (computing), Supply chain network and Fuzzy logic. Aside from discussions in Industrial organization, the most cited publications also deal with the subject of Management science which intersects with Business model disciplines.
The journal primarily tackles Mathematical optimization, Supply chain, Operations research, Reliability engineering and Closed loop. The research on Mathematical optimization tackled can also make contributions to studies in the areas of Communication channel and Dual (category theory). Issues in Supply chain were discussed, taking into consideration concepts from other disciplines like Finished good and Industrial organization.
Journal of Industrial and Production Engineering focuses on Industrial organization but sometimes tackles the closely related topic of Network planning and design which is concerned with Supply chain network. Operations research research featured in it incorporates concerns from various other topics such as Warehouse, Inventory management, Product proliferation, Selection (genetic algorithm) and Queueing theory. While Reliability engineering is the focus of Journal of Industrial and Production Engineering, it also provided insights into the studies of Reliability (statistics), Queueing system and Production control.
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 Journal of Industrial and Production Engineering (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 Journal of Industrial and Production Engineering (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, 2.99% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.31% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.77% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.46% of all publications and 58.46% 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.
Popular career paths within the realm of Industrial and Production Engineering often require a robust education. For example, to become an operations manager, an individual might benefit greatly from earning a degree in business operations or a related field. Choosing the right program or institution for one's higher education can be challenging, but it does not have to be. Making use of comprehensive resources such as directories or rankings can simplify the process and make it easier to target a specific professional goal. For instance, those aspiring to take up business management roles might want to explore great business schools in Washington. Gaining expertise in business strategy and economics can contribute to one's understanding of Industrial and Production Engineering concepts like supply chains, operations management, or profit economics. Whether one hopes to delve into the world of mathematical optimization, navigate the intricacies of network planning, or advocate for sustainable business models, pursuing a well-rounded education is vital, particularly if it focuses on areas commonly featured in the Journal of Industrial and Production Engineering. Therefore, researching and selecting the right institution for your higher education is essential in molding a successful career in Industrial and Production Engineering.
Ming-Lang Tseng;Ming-Lang Tseng;Thi Phuong Thuy Tran;Thi Phuong Thuy Tran;Hien Minh Ha;Hien Minh Ha;Tat-Dat Bui
(2021)Unknown
(2023)Shahin Sadeghi Ahangar;Amirhossein Sadati;Masoud Rabbani
(2021)Chirantan Mondal;Bibhas C. Giri
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