Mohammad M. Korjani

408 citations
14 papers · 295 indexed · h-index 9
Topics
Qualitative Comparative Analysis Research (8 papers)Fuzzy Logic and Control Systems (3 papers)Neural Networks and Applications (2 papers)
Journals
Information SciencesArtificial Intelligence ReviewSPE Western Regional Meeting
Partner nations
United StatesIran

In The Last Decade

Mohammad M. Korjani

14 papers receiving 291 citations

Peers

Mohammad M. Korjani
Comparison fields: 5 of 66
  • Sociology and Political Science 162
  • Strategy and Management 77
  • Artificial Intelligence 46
  • Management Science and Operations Research 38
  • Economics and Econometrics 26
Replace Dante Pinheiro Martinelli with:
Dante Pinheiro Martinelli Brazil
Tolulope Esther Edunjobi United States
Lunwen Wu China
Robert J. Thierauf United States
Emad Tariq United Kingdom
Wilhelmina Afua Addy Nigeria
Daniel Rudmark Sweden
Hui‐Ming Kuo Taiwan
CO Egbu United Kingdom
Ibrahim Alhassan Ireland
Mohammad M. Korjani relative to Dante Pinheiro Martinelli Brazil Dante Pinheiro Martinelli's profile →
Citations per field
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Dante Pinheiro Martinelli · 1×
Citations per year

Countries citing papers authored by Mohammad M. Korjani

Since Specialization
Citations

This map shows the geographic impact of Mohammad M. Korjani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad M. Korjani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad M. Korjani more than expected).

Fields of papers citing papers by Mohammad M. Korjani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad M. Korjani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad M. Korjani. The network helps show where Mohammad M. Korjani may publish in the future.

Co-authorship network of co-authors of Mohammad M. Korjani

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad M. Korjani. A scholar is included among the top collaborators of Mohammad M. Korjani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad M. Korjani. Mohammad M. Korjani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 15
2 1
3 8
4 3
5 16
6 12
7 84
8 10
9 15
10 110
11 6
12 5
13 8
14 2

About Mohammad M. Korjani

Mohammad M. Korjani is a scholar working on Computational Theory and Mathematics, Sociology and Political Science and Management Science and Operations Research, having authored 14 papers that have together received 295 indexed citations. Recurring topics across this work include Qualitative Comparative Analysis Research (8 papers), Fuzzy Logic and Control Systems (3 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Strategy and Management (77 citations), Sociology and Political Science (162 citations) and Management of Technology and Innovation (24 citations). Mohammad M. Korjani has collaborated with scholars based in United States and Iran. Frequent co-authors include Jerry M. Mendel, Mohammad Bagher Menhaj, Ahmad Afshar, Mohammad Reza Rajati and Iraj Ershaghi. Their work appears in journals such as Information Sciences, Artificial Intelligence Review and SPE Western Regional Meeting.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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