Georgiy Levchuk

51 papers receiving 349 citations

Peers

Georgiy Levchuk
Comparison fields: 5 of 53
  • Control and Systems Engineering 162
  • Computer Networks and Communications 122
  • Artificial Intelligence 114
  • Management Science and Operations Research 84
  • Electrical and Electronic Engineering 83
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Peter Bunus Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Georgiy Levchuk

Since Specialization
Citations

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

Fields of papers citing papers by Georgiy Levchuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgiy Levchuk

This figure shows the co-authorship network connecting the top 25 collaborators of Georgiy Levchuk. A scholar is included among the top collaborators of Georgiy Levchuk 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 Georgiy Levchuk. Georgiy Levchuk 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
1 1
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Learning and Detecting Patterns in Multi-Attributed Network Data.
13
5 1
6 4
7
Title: Future C2 Architecture for Distributed Execution: A Case Study of Intelligent Particles
1
8
Identification of Adversarial Activities: Profiling Latent Uses of Facilities from Structural Data and Real-time Intelligence
2
9 16
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Networks of Decision-Making and Communicating Agents: A New Methodology for Design and Evaluation of Organizational Strategies and Heterarchical Structures
11
11 1
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A Multi-Functional Software Environment for Modeling Complex Missions and Devising Adaptive Organizations
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13 1
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Novel Congruent Organizational Design Methodology Using Group Technology and a Nested Genetic Algorithm
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15 26
16 2
17 3
18 41
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A Software Environment for the Design of Organizational Structures
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20
Congruence of Human Organizations and Missions: Theory versus Data
11

About Georgiy Levchuk

Georgiy Levchuk is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Software, having authored 58 papers that have together received 410 indexed citations. Recurring topics across this work include Systems Engineering Methodologies and Applications (16 papers), Military Strategy and Technology (11 papers) and Network Security and Intrusion Detection (10 papers). The work is most often cited by research in Control and Systems Engineering (162 citations), Management Science and Operations Research (84 citations) and Computer Networks and Communications (122 citations). Georgiy Levchuk has collaborated with scholars based in United States and France. Frequent co-authors include Krishna R. Pattipati, Jie Luo, David L. Kleinman, Peter Willett, Jared Freeman, Susan G. Hutchins, Aaron Bobick, Erik Blasch, Wayne L. Shebilske and Alexander Aved. Their work appears in journals such as IEEE Transactions on Communications, Cell Reports and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

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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