Igor Dolgov

1.1k citations
54 papers · 610 indexed · h-index 15

Impact in

Papers in

    • Human-Automation Interaction and Safety 16
    • Team Dynamics and Performance 6
    • Visual perception and processing mechanisms 9
    • Neural and Behavioral Psychology Studies 6

Igor Dolgov

52 papers receiving 571 citations

Peers

Igor Dolgov
Comparison fields: 5 of 101
  • Human-Computer Interaction 143
  • Communication 74
  • Cognitive Neuroscience 156
  • Developmental and Educational Psychology 91
  • Social Psychology 147
Replace Lassi A. Liikkanen with:
Lassi A. Liikkanen Finland
Peter Khooshabeh United States
Cristen Torrey United States
Christopher A. Monk United States
Pablo Garaizar Spain
Samuel Mascarenhas Portugal
Leslie D. Setlock United States
S. Joy Mountford United States
Tessa Verhoef Netherlands
David R. Flatla Canada
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Citations per field
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Lassi A. Liikkanen · 1×
Citations per year

Countries citing papers authored by Igor Dolgov

Since Specialization
Citations

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

Fields of papers citing papers by Igor Dolgov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201779
2 201450
3 200827
4 201225
5 201325
6 201725
7 201724
8 201323
9 200921
10 202018
11 201317
12 201817
13 202116
14 201816
15 201815
16 200514
17 201913
18 202113
19 201711
20 201811

About Igor Dolgov

Igor Dolgov is a scholar working on Social Psychology, Cognitive Neuroscience, Human-Computer Interaction, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 54 papers that have together received 610 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (16 papers), Visual perception and processing mechanisms (9 papers), Virtual Reality Applications and Impacts (6 papers), Team Dynamics and Performance (6 papers), Neural and Behavioral Psychology Studies (6 papers), Air Traffic Management and Optimization (5 papers), Augmented Reality Applications (5 papers) and Educational Games and Gamification (4 papers). The work is most often cited by research in Human-Computer Interaction (143 citations), Communication (74 citations), Cognitive Neuroscience (156 citations), Developmental and Educational Psychology (91 citations) and Social Psychology (147 citations). Igor Dolgov has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Jeremy Schwark, Sultan A. Alharthi, Joshua Sandry, Ivan B. Dylko, María D. Molina, William Hoffman, Phoebe O. Toups Dugas, Justin A. MacDonald, Michael K. McBeath and Lennart E. Nacke. Their work appears in journals such as Perception, Journal of Vision, Attention Perception & Psychophysics, Computers in Human Behavior and Behavioral and Brain Sciences.

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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