Maksim Belousov

453 total citations
11 papers, 283 citations indexed

About

Maksim Belousov is a scholar working on Molecular Biology, Artificial Intelligence and Health. According to data from OpenAlex, Maksim Belousov has authored 11 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Health. Recurrent topics in Maksim Belousov's work include Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (4 papers) and Social Media in Health Education (3 papers). Maksim Belousov is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (4 papers) and Social Media in Health Education (3 papers). Maksim Belousov collaborates with scholars based in United Kingdom, United States and Saudi Arabia. Maksim Belousov's co-authors include Goran Nenadić, Natalie Berry, Richard Emsley, Fiona Lobban, Sandra Bucci, William G Dixon, Meghna Jani, Nabarun Dasgupta, Anthony Rios and Niels Peek and has published in prestigious journals such as Annals of the Rheumatic Diseases, Journal of Medical Internet Research and Journal of the American Medical Informatics Association.

In The Last Decade

Maksim Belousov

11 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maksim Belousov United Kingdom	5	88	74	73	64	43	11	283
Sneha Jha India	6	127 1.4×	93 1.3×	122 1.7×	39 0.6×	69 1.6×	23	441
George Gkotsis United Kingdom	8	203 2.3×	151 2.0×	39 0.5×	107 1.7×	15 0.3×	10	356
Solveiga Vivian-Griffiths United Kingdom	5	25 0.3×	34 0.5×	145 2.0×	36 0.6×	39 0.9×	6	472
Greta E. Greer United States	9	92 1.0×	117 1.6×	154 2.1×	26 0.4×	52 1.2×	10	393
David Chandran United Kingdom	8	101 1.1×	84 1.1×	19 0.3×	35 0.5×	14 0.3×	23	276
Matthew Wiley United States	9	18 0.2×	67 0.9×	40 0.5×	18 0.3×	49 1.1×	15	342
Tae Min Song South Korea	11	69 0.8×	53 0.7×	108 1.5×	41 0.6×	43 1.0×	33	416
Emily Larson United States	4	119 1.4×	71 1.0×	111 1.5×	39 0.6×	69 1.6×	7	360
Kathrene Conway United States	11	80 0.9×	35 0.5×	114 1.6×	33 0.5×	20 0.5×	16	368
Marijn ten Thij Netherlands	7	132 1.5×	106 1.4×	161 2.2×	67 1.0×	41 1.0×	21	373

Countries citing papers authored by Maksim Belousov

Since Specialization

Citations

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

Fields of papers citing papers by Maksim Belousov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maksim Belousov

This figure shows the co-authorship network connecting the top 25 collaborators of Maksim Belousov. A scholar is included among the top collaborators of Maksim Belousov 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 Maksim Belousov. Maksim Belousov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Jani, Meghna, Maksim Belousov, Yuanyuan Zhang, et al.. (2024). Development and evaluation of a text analytics algorithm for automated application of national COVID-19 shielding criteria in rheumatology patients. Annals of the Rheumatic Diseases. 83(8). 1082–1091. 3 indexed citations

Belousov, Maksim, et al.. (2021). Extracting Drug Names and Associated Attributes From Discharge Summaries: Text Mining Study. JMIR Medical Informatics. 9(5). e24678–e24678. 15 indexed citations

Belousov, Maksim, William G Dixon, & Goran Nenadić. (2019). MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation. 31–39. 2 indexed citations

Belousov, Maksim, et al.. (2019). Patient discussions of glucocorticoid-related side effects within an online community health forum. Clinical Medicine. 19(Suppl 3). 91–91. 1 indexed citations

Sarker, Abeed, Maksim Belousov, Kai Hakala, et al.. (2018). Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. Journal of the American Medical Informatics Association. 25(10). 1274–1283. 61 indexed citations

Berry, Natalie, Fiona Lobban, Maksim Belousov, et al.. (2017). #WhyWeTweetMH: Understanding Why People Use Twitter to Discuss Mental Health Problems. Journal of Medical Internet Research. 19(4). e107–e107. 163 indexed citations

Belousov, Maksim, et al.. (2017). Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts. npj Digital Medicine. 1(1). 31 indexed citations

Belousov, Maksim, et al.. (2017). Using Twitter to mine sleep related information from people who declare a diagnosis of a psychotic disorder. International Journal for Population Data Science. 1(1). 1 indexed citations

Belousov, Maksim, William G Dixon, & Goran Nenadić. (2017). Using an Ensemble of Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation Task.. 54–58. 4 indexed citations

10.

Belousov, Maksim, et al.. (2017). 146. FREQUENT DISCUSSION OF INSOMNIA AND WEIGHT GAIN WITH GLUCOCORTICOID THERAPY: AN ANALYSIS OF TWITTER POSTS. Lara D. Veeken. 56(suppl_2). 1 indexed citations

11.

Belousov, Maksim, et al.. (2016). Mining Auditory Hallucinations from Unsolicited Twitter Posts. Language Resources and Evaluation. 1 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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