Eugene Khmelnitsky

1.5k citations
56 papers · 1.2k · h-index 16

Impact in

Papers in

Eugene Khmelnitsky

50 papers receiving 1.1k citations

Peers

Eugene Khmelnitsky
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 763
  • Management Information Systems 380
  • Transportation 282
  • Strategy and Management 205
  • Marketing 104
Replace Arianna Alfieri with:
Arianna Alfieri Italy
Robert C. Leachman United States
Narayan Rangaraj India
Matthijs C. van der Heijden Netherlands
Zhou Xu Hong Kong
Yale T. Herer Israel
Knut Haase Germany
Udo Buscher Germany
Vittaldas V. Prabhu United States
Eugene Khmelnitsky relative to Arianna Alfieri Italy Arianna Alfieri's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eugene Khmelnitsky

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Khmelnitsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Eugene Khmelnitsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eugene Khmelnitsky Line = papers co-authored together Eugene Khmelnitsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000480
2 2016103
3 200252
4 201244
5 202041
6 199832
7 199829
8 202126
9 199722
10 200221
11 200020
12 199519
13 199619
14 200718
15 199516
16 201816
17 200013
18 199813
19 201412
20 199612

About Eugene Khmelnitsky

Eugene Khmelnitsky is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Management Science and Operations Research, Control and Systems Engineering and Economics and Econometrics, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (27 papers), Supply Chain and Inventory Management (20 papers), Advanced Manufacturing and Logistics Optimization (12 papers), Advanced Control Systems Optimization (10 papers), Advanced Queuing Theory Analysis (8 papers), Auction Theory and Applications (8 papers), Assembly Line Balancing Optimization (5 papers) and Consumer Market Behavior and Pricing (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (763 citations), Management Information Systems (380 citations), Transportation (282 citations), Strategy and Management (205 citations) and Marketing (104 citations). Eugene Khmelnitsky has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Konstantin Kogan, Avi Herbon, Yigal Gerchak, Oded Maimon, Yossi Bukchin, Gonen Singer, Michael C. Caramanis, Tatyana Chernonog, Lawrence W. Robinson and Fouad El Ouardighi. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Research, IEEE Transactions on Automatic Control, IISE Transactions and Annals of Operations 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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