Vadim Bulitko

2.1k citations
100 papers · 1.2k indexed · h-index 18

Vadim Bulitko

95 papers receiving 1.1k citations

Peers

Vadim Bulitko
Comparison fields: 5 of 97
  • Artificial Intelligence 861
  • Computer Vision and Pattern Recognition 496
  • Developmental and Educational Psychology 175
  • Developmental Biology 28
  • Human-Computer Interaction 55
Replace Sebastian Risi with:
Sebastian Risi Denmark
Robert St. Amant United States
Hayley Hung Netherlands
Hideki Asoh Japan
Vicente Matellán Olivera Spain
Kazunori Komatani Japan
Dinesh Babu Jayagopi India
Oya Aran Switzerland
Paul Lamere United States
Christian Thurau Germany
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Citations per field
00.5×9.3×
Sebastian Risi · 1×
Citations per year

Countries citing papers authored by Vadim Bulitko

Since Specialization
Citations

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

Fields of papers citing papers by Vadim Bulitko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3
Proceedings of the Eleventh International Symposium on Combinatorial Search
20181
4 20172
5 20175
6 20176
7 20157
8 20143
9 20133
10 20125
11 20127
12 201213
13 20125
14 200815
15 200810
16 200817
17
Dynamic control in path-planning with real-time heuristic search
200715
18 2007125
19 200615
20 200623

About Vadim Bulitko

Vadim Bulitko is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 100 papers that have together received 1.2k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (54 papers), AI-based Problem Solving and Planning (29 papers), Robotic Path Planning Algorithms (26 papers), Digital Games and Media (20 papers), Educational Games and Gamification (11 papers), Video Analysis and Summarization (10 papers), Constraint Satisfaction and Optimization (10 papers) and Reinforcement Learning in Robotics (8 papers). The work is most often cited by research in Artificial Intelligence (861 citations), Computer Vision and Pattern Recognition (496 citations) and Developmental and Educational Psychology (175 citations). Vadim Bulitko has collaborated with scholars based in Canada, United States and Iceland. Frequent co-authors include Mark Riedl, David Thue, Marcia L. Spetch, Nathan Sturtevant, Yngvi Björnsson, David C. Wilkins, Ilya Levner, Mitja Luštrek, Thomas Yau and Russell Greiner. Their work appears in journals such as PLoS ONE, Biology of Reproduction and Artificial Intelligence.

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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