Dmitry Lagun

1.5k citations
31 papers · 1.1k · h-index 17

Impact in

Papers in

Dmitry Lagun

30 papers receiving 1.1k citations

Peers

Dmitry Lagun
Comparison fields: 5 of 97
  • Human-Computer Interaction 195
  • Computer Science Applications 116
  • Information Systems 410
  • Computer Vision and Pattern Recognition 327
  • Information Systems and Management 99
Replace Virginio Cantoni with:
Virginio Cantoni Italy
Gerald Weber New Zealand
Quentin Stafford-Fraser United Kingdom
Paul Vickers United Kingdom
Keith Andrews Austria
Luis A. Leiva Spain
Judith Redi Netherlands
Katashi Nagao Japan
Tanja Blascheck Germany
Tim Paek United States
Dmitry Lagun relative to Virginio Cantoni Italy Virginio Cantoni's profile →
Citations per field
00.5×2×4×6×7.8×
Virginio Cantoni · 1×
Citations per year

Countries citing papers authored by Dmitry Lagun

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Lagun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022145
2 2011115
3 2014103
4 2011102
5 201687
6 201368
7 201963
8 201744
9 201143
10 202443
11 201441
12 201237
13 202332
14 201523
15 201321
16 201617
17 202517
18 202417
19 201314
20 201412

About Dmitry Lagun

Dmitry Lagun is a scholar working on Information Systems, Computer Science Applications, Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (16 papers), Expert finding and Q&A systems (11 papers), Mobile Crowdsensing and Crowdsourcing (7 papers), Web Data Mining and Analysis (7 papers), Gaze Tracking and Assistive Technology (5 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Vision and Imaging (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Human-Computer Interaction (195 citations), Computer Science Applications (116 citations), Information Systems (410 citations), Computer Vision and Pattern Recognition (327 citations) and Information Systems and Management (99 citations). Dmitry Lagun has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Eugene Agichtein, Qi Guo, Vidhya Navalpakkam, Mounia Lalmas-Roelleke, Chih-Hung Hsieh, Dale R. Webster, Cecelia M. Manzanares, Elizabeth A. Buffalo, Stuart M. Zola and Pingmei Xu. Their work appears in journals such as ACM Transactions on Graphics, Journal of Neuroscience Methods, Lecture notes in computer science, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

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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