| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Business and Management | 16 | 136 | 223 | 47 |
| Engineering and Technology | 248 | 40 | 81 | 28 |
Production Planning & Control is mainly concerned with subjects like Supply chain, Process management, Knowledge management, Production (economics) and Manufacturing engineering. It explores topics in Supply chain which can be helpful for research in disciplines like Systems engineering, Industrial organization and Operations management. The in-depth study on Industrial organization also explores topics in the intersecting field of Marketing.
The study on Process management presented in Production Planning & Control intersects with subjects under the field of Process (engineering). Some problems in Production (economics) that were presented in Production Planning & Control overlapped with concepts under Control (management), Mathematical optimization, Industrial engineering and Operations research. The study on Operations research presented is investigated in conjunction with research in Scheduling (production processes).
The journal connects the study in Manufacturing engineering with the closely related area of Production planning.
The published papers focus largely on the fields of Supply chain, Supply chain management, Process management, Knowledge management and Manufacturing engineering. The most cited articles with studies in Supply chain featured incorporate elements of Context (language use), Production (economics), Industrial organization and Systems engineering. Aside from discussions in Supply chain management, the journal publications also deal with the subject of Operations management which intersects with Operations research disciplines.
Production Planning & Control is organized to address concerns in the fields of Supply chain, Industrial organization, Process management, Lean manufacturing and Industry 4.0. The journal holds forums on Supply chain that merges themes from other disciplines such as Microeconomics and Empirical research. Aside from investigating topics in Manufacturing firms under Industrial organization, Production Planning & Control also explores concepts in Food supply.
The Process management research presented in it explores the relationship between Context (language use) and the closely related topic of Marketing. Discussions in it are anchored in the subject of Lean manufacturing and the similar topic of Knowledge management. Production Planning & Control tackles studies in Production (economics) and the interrelated subject of Key (cryptography) to gain insights into Manufacturing engineering.
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 Production Planning & Control (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 Production Planning & Control (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, 4.57% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.35% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.57% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.37% of all publications and 49.70% 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.
The presence of renowned educational and research institutions prevalent in the published articles in Production Planning & Control is an essential recognition of the journal's credibility. Certain institutions recurrently appear in these publications due to their focus on related research fields and dedicated departments to these studies. A few notable institutions that have author affiliations with most publications in this journal include the *Massachusetts Institute of Technology*, *Stanford University*, and *Harvard University*. The scholars from these universities have provided significant contributions to the topics concerning Supply Chain, Process Management, and Knowledge Management. Particularly, the business schools at these universities have been instrumental in advancing theories and techniques in areas like Supply chain and Process management. Also, prominent among the houses of learning contributing to the enriched research content of this journal are great business schools in New Hampshire where academicians and students delve into the intricate aspects of Production Planning & Control. Recognizing the contribution of these esteemed institutions reaffirms the credibility and academic status of Production Planning & Control. These alliances lay the foundation for an in-depth exploration of research topics and subsequent advancement of knowledge in these areas.
Dmitry Ivanov;Alexandre Dolgui
(2021)Petri Helo;Yuqiuge Hao
(2021)Mahtab Kouhizadeh;Qingyun Zhu;Joseph Sarkis
(2020)Samuel Fosso Wamba;Jean Robert Kala Kamdjoug;Ransome Epie Bawack;John G. Keogh
(2020)Yasanur Kayikci;Nachiappan Subramanian;Manoj Dora;Manjot Singh Bhatia
(2020)Andrea Chiarini;Valeria Belvedere;Alberto Grando
(2020)Pichawadee Kittipanya-ngam;Kim Hua Tan
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