| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 599 | 10 | 10 | 4 |
| Business and Management | 686 | 5 | 5 | 3 |
| Computer Science | 899 | 13 | 15 | 4 |
| Engineering and Technology | 1296 | 11 | 12 | 4 |
The aim of Infor is to expand the discussion of research in Mathematical optimization, Operations research, Operations management, Algorithm and Set (abstract data type). The concepts on Mathematical optimization presented in Infor can also apply to other research fields, including Scheduling (computing) and Job shop scheduling.
The main points discussed in the published articles deal with Mathematical optimization, Operations research, Algorithm, Set (abstract data type) and Heuristics. The published papers explore topics in Mathematical optimization which can be helpful for research in disciplines like Simple (abstract algebra), Vehicle routing problem and Job shop scheduling. The published papers explore research in Data envelopment analysis and overlapping concepts in Returns to scale to expand the discourse in Operations research.
Infor aims to foster the development of research in Mathematical optimization, Operations research, Industrial organization, Supply chain and Game theory. The journal explores issues in Mathematical optimization which can be linked to other research areas like Resource (project management), Fraction (mathematics) and Supply chain network. Operations research research presented in the journal encompasses a variety of subjects, including Optimism, Software deployment, Schedule, Task (project management) and Lagrangian relaxation.
The research on Industrial organization featured in it combines topics in other fields like Structure (category theory), Metrics, Secondary market, Empirical research and Remanufacturing. While work presented in it provided substantial information on Supply chain, it also covered topics in Econometrics and Reference price. The work on Game theory tackled in it brings together disciplines like Scheme (programming language), Regret and Behavioral economics.
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 Infor (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 Infor (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.33% of all publications and 62.50% 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.
Sven Leyffer;Matt Menickelly;Todd S. Munson;Charlie Vanaret
(2020)Rabie Jaballah;Marjolein Veenstra;Leandro C. Coelho;Leandro C. Coelho;Jacques Renaud
(2021)Ali Mohammad-Nezhad;Tamás Terlaky
(2020)Khosro Soleimani-Chamkhorami;Farhad Hosseinzadeh Lotfi;Gholam Reza Jahanshahloo;Mohsen Rostamy-Malkhalifeh
(2020)Amir Farshbaf-Geranmayeh;Alireza Taheri-Moghadam;S. Ali Torabi
(2020)Tammy Drezner;Zvi Drezner
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