Olga Vechtomova

100 total papers · 2.6k total citations
48 papers, 1.1k citations indexed

About

Olga Vechtomova is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Olga Vechtomova has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 19 papers in Information Systems and 4 papers in Management Science and Operations Research. Recurrent topics in Olga Vechtomova's work include Topic Modeling (31 papers), Natural Language Processing Techniques (18 papers) and Semantic Web and Ontologies (15 papers). Olga Vechtomova is often cited by papers focused on Topic Modeling (31 papers), Natural Language Processing Techniques (18 papers) and Semantic Web and Ontologies (15 papers). Olga Vechtomova collaborates with scholars based in Canada, Türkiye and United Kingdom. Olga Vechtomova's co-authors include Maheedhar Kolla, Gordon V. Cormack, Stefan Büttcher, Charles L. A. Clarke, Azin Ashkan, Stephen Robertson, Ying Wang, Rada Mihalcea, Zhijing Jin and Di Jin and has published in prestigious journals such as Information Processing & Management, Computational Linguistics and Journal of Information Science.

In The Last Decade

Olga Vechtomova

45 papers receiving 1.1k citations

Hit Papers

Novelty and diversity in ... 2008 2026 2014 2020 2008 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Olga Vechtomova 706 661 208 140 99 48 1.1k
Benjamin Piwowarski 572 0.8× 584 0.9× 260 1.3× 91 0.7× 122 1.2× 38 1.1k
David Vallet 672 1.0× 733 1.1× 266 1.3× 145 1.0× 135 1.4× 41 1.1k
K. L. Kwok 882 1.2× 691 1.0× 178 0.9× 168 1.2× 57 0.6× 47 1.3k
Eric C. Jensen 499 0.7× 605 0.9× 119 0.6× 135 1.0× 82 0.8× 47 967
Hang Cui 905 1.3× 630 1.0× 147 0.7× 158 1.1× 61 0.6× 33 1.2k
Derek Bridge 684 1.0× 716 1.1× 178 0.9× 117 0.8× 231 2.3× 54 1.2k
Marco Cristo 517 0.7× 589 0.9× 173 0.8× 92 0.7× 74 0.7× 57 1.0k
Vitor R. Carvalho 677 1.0× 517 0.8× 136 0.7× 96 0.7× 59 0.6× 22 1.0k
Xuehua Shen 617 0.9× 830 1.3× 175 0.8× 201 1.4× 74 0.7× 17 1.2k
William Webber 655 0.9× 615 0.9× 164 0.8× 134 1.0× 154 1.6× 35 1.2k

Countries citing papers authored by Olga Vechtomova

Since Specialization
Citations

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

Fields of papers citing papers by Olga Vechtomova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Vechtomova

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

All Works

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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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