Eugene Larkin

501 citations
69 papers · 334 · h-index 11

Impact in

Papers in

Eugene Larkin

47 papers receiving 295 citations

Peers

Eugene Larkin
Comparison fields: 5 of 47
  • Public Health, Environmental and Occupational Health 202
  • Control and Systems Engineering 110
  • Anatomy 5
  • Management of Technology and Innovation 24
  • Artificial Intelligence 100
Replace Oleg V. Varlamov with:
Oleg V. Varlamov Russia
Ruslan Zhyvotovskyi Ukraine
Anastasiya Y. Kudryashova Russia
Vasyl Martsenyuk Poland
Zhenyuan Chen China
Shasha Yang China
Yutao Tang China
Ali Asghar Shojaei Iran
Volodymyr Gorokhovatskyi Ukraine
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Citations per field
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Oleg V. Varlamov · 1×
Citations per year

Countries citing papers authored by Eugene Larkin

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Larkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eugene Larkin, 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 Larkin Line = papers co-authored together Eugene Larkin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201435
2 201824
3 201522
4 201619
5
Simulation of concurrent process with Petri-Markov nets
201418
6 201815
7 201514
8 201713
9 201813
10 201811
11 201711
12 202111
13 201610
14 201710
15 201910
16 20178
17 20168
18 20177
19 20207
20 20205

About Eugene Larkin

Eugene Larkin is a scholar working on Public Health, Environmental and Occupational Health, Control and Systems Engineering, Artificial Intelligence, Information Systems and Food Science, having authored 69 papers that have together received 334 indexed citations. Recurring topics across this work include Technology and Human Factors in Education and Health (42 papers), Advanced Data Processing Techniques (24 papers), Cognitive Science and Mapping (17 papers), Mathematical Control Systems and Analysis (16 papers), Advanced Scientific Research Methods (8 papers), Artificial Intelligence in Education (6 papers), Petri Nets in System Modeling (6 papers) and Economic and Technological Systems Analysis (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (202 citations), Control and Systems Engineering (110 citations), Anatomy (5 citations), Management of Technology and Innovation (24 citations) and Artificial Intelligence (100 citations). Eugene Larkin has collaborated with scholars based in Russia, Ireland and Germany. Frequent co-authors include Aleksey Valeryevich Bogomolov, Sylvia M. Draper, Colm Delaney, Hong‐Ying Gao, Harald Fuchs, Jindong Ren, Xin Jin, Yang Song, Shixuan Du and Anne Bakker. Their work appears in journals such as Lecture notes in computer science, RSC Advances, The Journal of Physical Chemistry C, Chemical Communications and Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software.

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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