Maxim Mozgovoy

861 total citations
50 papers, 464 citations indexed

About

Maxim Mozgovoy is a scholar working on Artificial Intelligence, Information Systems and Economics and Econometrics. According to data from OpenAlex, Maxim Mozgovoy has authored 50 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Economics and Econometrics. Recurrent topics in Maxim Mozgovoy's work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Artificial Intelligence in Games (8 papers). Maxim Mozgovoy is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Artificial Intelligence in Games (8 papers). Maxim Mozgovoy collaborates with scholars based in Japan, Finland and Russia. Maxim Mozgovoy's co-authors include Tuomo Kakkonen, Erkki Sutinen, Myriam Munezero, Calkin Suero Montero, John Blake, Kimmo Fredriksson, Georgina Cosma, Vitaly Klyuev, Hiroshi Yamaguchi and Ihor Lubashevsky and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Journal of Educational Computing Research.

In The Last Decade

Maxim Mozgovoy

47 papers receiving 418 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maxim Mozgovoy Japan	12	241	141	100	79	65	50	464
Frank Kappe Austria	9	208 0.9×	142 1.0×	128 1.3×	47 0.6×	41 0.6×	47	534
Fakhroddin Noorbehbahani Iran	10	136 0.6×	77 0.5×	49 0.5×	45 0.6×	42 0.6×	21	355
Traian Rebedea Romania	11	251 1.0×	126 0.9×	14 0.1×	44 0.6×	48 0.7×	80	429
Martijn Millecamp Belgium	10	163 0.7×	111 0.8×	51 0.5×	13 0.2×	73 1.1×	17	347
Panagiotis Zervas Greece	12	77 0.3×	211 1.5×	34 0.3×	87 1.1×	221 3.4×	80	589
Mirko Marras Italy	12	259 1.1×	243 1.7×	34 0.3×	12 0.2×	102 1.6×	54	509
Duane Searsmith United States	6	143 0.6×	93 0.7×	26 0.3×	45 0.6×	158 2.4×	17	368
Giora Alexandron Israel	14	271 1.1×	154 1.1×	128 1.3×	114 1.4×	449 6.9×	50	779
Russell Boyatt United Kingdom	10	120 0.5×	182 1.3×	57 0.6×	85 1.1×	479 7.4×	25	742
Ram B. Basnet United States	15	217 0.9×	145 1.0×	11 0.1×	82 1.0×	218 3.4×	31	547

Countries citing papers authored by Maxim Mozgovoy

Since Specialization

Citations

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

Fields of papers citing papers by Maxim Mozgovoy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Mozgovoy

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Mozgovoy. A scholar is included among the top collaborators of Maxim Mozgovoy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maxim Mozgovoy. Maxim Mozgovoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Blake, John, et al.. (2024). Evaluating the effectiveness of a computerised dynamic assessment of L2 English email requests. Computer Assisted Language Learning. 39(1-2). 303–335. 4 indexed citations

Mozgovoy, Maxim, et al.. (2023). Interactive Horror Gaming: Integrating Facial Expression Recognition to Enhance Player Engagement and Immersion. 25–28. 1 indexed citations

Mozgovoy, Maxim, et al.. (2020). Plagiarism Detection Systems for Programming Assignments: Practical Considerations. International Conference on Software Engineering Advances. 16–18.

Mozgovoy, Maxim, et al.. (2020). Recognizing Events in Spatiotemporal Soccer Data. Applied Sciences. 10(22). 8046–8046. 12 indexed citations

Mozgovoy, Maxim, et al.. (2018). So You Want to Build a Farm: An Approach to Resource and Time Consuming Testing of Mobile Applications. International Conference on Software Engineering Advances. 91–94.

Yamaguchi, Hiroshi, et al.. (2018). A Chatbot Based On AIML Rules Extracted From Twitter Dialogues. SHILAP Revista de lepidopterología. 17. 37–42. 8 indexed citations

Mozgovoy, Maxim, et al.. (2018). A Comprehensive Approach to Quality Assurance in a Mobile Game Project. 1–8. 2 indexed citations

Mozgovoy, Maxim, et al.. (2018). Reducing False Positives in Automated OpenCV-based Non-Native GUI Software Testing. 41–45. 2 indexed citations

Mozgovoy, Maxim, et al.. (2017). Using Image Recognition for Testing Hand-drawn Graphic User Interfaces. 25–28. 4 indexed citations

10.

Mozgovoy, Maxim & Hiroshi Yamaguchi. (2017). Generating AIML Rules from Twitter Conversations. Annals of Computer Science and Information Systems. 13. 59–61. 2 indexed citations

11.

Mozgovoy, Maxim, et al.. (2016). Believable self-learning AI for world of tennis. 6 indexed citations

12.

Mozgovoy, Maxim, et al.. (2016). Striving with online addiction with a self-control chrome extension. 1–4. 3 indexed citations

13.

Mozgovoy, Maxim, et al.. (2015). Creating English and Japanese Twitter Corpora for Emotion Analysis. 1(2). 120–124. 3 indexed citations

14.

Munezero, Myriam, Maxim Mozgovoy, Tuomo Kakkonen, Vitaly Klyuev, & Erkki Sutinen. (2013). Antisocial Behavior corpus for harmful language detection. Federated Conference on Computer Science and Information Systems. 261–265. 8 indexed citations

15.

Mozgovoy, Maxim. (2012). Towards WordBricks — A virtual language lab for computer-assisted language learning. Federated Conference on Computer Science and Information Systems. 229–232. 4 indexed citations

16.

Zgonnikov, Arkady, Ihor Lubashevsky, & Maxim Mozgovoy. (2012). Computer simulation of stick balancing. 162–164. 5 indexed citations

17.

Mozgovoy, Maxim. (2011). Dependency-based rules for grammar checking with LanguageTool. Federated Conference on Computer Science and Information Systems. 209–212. 9 indexed citations

18.

Mozgovoy, Maxim. (2011). Grammar Checking with Dependency Parsing: A Possible Extension for LanguageTool. 35(4). 429–434. 1 indexed citations

19.

Mozgovoy, Maxim, et al.. (2010). Building a believable and effective agent for a 3D boxing simulation game. 4626. 14–18. 3 indexed citations

20.

Mozgovoy, Maxim, Tuomo Kakkonen, & Erkki Sutinen. (2007). Using natural language parsers in plagiarism detection. 20 indexed citations

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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