Boyan Bontchev

676 citations
69 papers · 521 · h-index 12

Impact in

Papers in

Boyan Bontchev

61 papers receiving 497 citations

Peers

Boyan Bontchev
Comparison fields: 5 of 65
  • Developmental and Educational Psychology 326
  • Computer Science Applications 128
  • Human-Computer Interaction 76
  • Museology 20
  • Artificial Intelligence 144
Replace Sanaz Fallahkhair with:
Sanaz Fallahkhair United Kingdom
Aishah Abdul Razak Malaysia
Noah Schaffer
Claudia Adams New Zealand
Helena Macedo Reis Brazil
Elena Patricia Núñez Castellar Belgium
Clara Fernández-Vara United States
Ben Medler United States
Harri Ketamo Finland
Keith Brawner United States
Boyan Bontchev relative to Sanaz Fallahkhair United Kingdom Sanaz Fallahkhair's profile →
Citations per field
00.5×4.7×
Sanaz Fallahkhair · 1×
Citations per year

Countries citing papers authored by Boyan Bontchev

Since Specialization
Citations

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

Fields of papers citing papers by Boyan Bontchev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Boyan Bontchev, 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 Boyan Bontchev Line = papers co-authored together Boyan Bontchev 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 201662
2 201833
3 201627
4 202124
5 201724
6 201523
7 202122
8 202022
9 201919
10 202016
11 201715
12
CUSTOMIZABLE 3D VIDEO GAMES AS EDUCATIONAL SOFTWARE
201512
13 201211
14 201611
15 201910
16 20229
17 20099
18 20109
19 20219
20 20128

About Boyan Bontchev

Boyan Bontchev is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Sociology and Political Science, Computer Science Applications and Information Systems, having authored 69 papers that have together received 521 indexed citations. Recurring topics across this work include Educational Games and Gamification (39 papers), Digital Games and Media (17 papers), Artificial Intelligence in Games (12 papers), Online Learning and Analytics (9 papers), Learning Styles and Cognitive Differences (8 papers), Augmented Reality Applications (7 papers), Open Education and E-Learning (5 papers) and Teaching and Learning Programming (5 papers). The work is most often cited by research in Developmental and Educational Psychology (326 citations), Computer Science Applications (128 citations), Human-Computer Interaction (76 citations), Museology (20 citations) and Artificial Intelligence (144 citations). Boyan Bontchev has collaborated with scholars based in Bulgaria, Spain and United Kingdom. Frequent co-authors include Olga Georgieva, Enkhbold Nyamsuren, Wim Westera, Kiavash Bahreini, Stoyan Tanev, Krassen Stefanov, Rui Prada, Boris Shishkov, Pablo Moreno‐Ger and Pablo Moreno. Their work appears in journals such as Interactive Technology and Smart Education, Sustainability, Computers in Human Behavior, Applied Sciences and Lecture notes in computer science.

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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