Konstantin Kogan

1.5k citations
109 papers · 1.1k indexed · h-index 18
Topics
Supply Chain and Inventory Management (52 papers)Scheduling and Optimization Algorithms (44 papers)Advanced Manufacturing and Logistics Optimization (19 papers)

In The Last Decade

Konstantin Kogan

104 papers receiving 1.0k citations

Peers

Konstantin Kogan
Comparison fields: 5 of 82
  • Management Information Systems 525
  • Industrial and Manufacturing Engineering 394
  • Strategy and Management 381
  • Marketing 208
  • Management Science and Operations Research 188
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Yao Zhao United States
M. Çakanyıldırım United States
Murari Lal Mittal India
M.A. Venkataramanan United States
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Houmin Yan Hong Kong
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Karel H. van Donselaar Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Konstantin Kogan

Since Specialization
Citations

This map shows the geographic impact of Konstantin Kogan'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 Konstantin Kogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantin Kogan more than expected).

Fields of papers citing papers by Konstantin Kogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Konstantin Kogan. 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 Konstantin Kogan. The network helps show where Konstantin Kogan may publish in the future.

Co-authorship network of co-authors of Konstantin Kogan

This figure shows the co-authorship network connecting the top 25 collaborators of Konstantin Kogan. A scholar is included among the top collaborators of Konstantin Kogan 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 Konstantin Kogan. Konstantin Kogan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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4 1
5 8
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12
Models and methods in economics and management science : essays in honor of Charles S. Tapiero
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13 3
14 7
15 4
16 24
17 19
18 3
19 2
20 19

About Konstantin Kogan

Konstantin Kogan is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Marketing, having authored 109 papers that have together received 1.1k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (52 papers), Scheduling and Optimization Algorithms (44 papers) and Advanced Manufacturing and Logistics Optimization (19 papers). The work is most often cited by research in Management Information Systems (525 citations), Industrial and Manufacturing Engineering (394 citations) and Strategy and Management (381 citations). Konstantin Kogan has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Charles S. Tapiero, Eugene Khmelnitsky, Fouad El Ouardighi, Avi Herbon, Oded Maimon, Avraham Shtub, Eugene Levner, Tatyana Chernonog, ‪Yael Perlman‬‏ and Tzvi Raz. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and European Journal of Operational Research.

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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