Anna Potapenko

62.6k citations
4 papers · 80 · h-index 3

Impact in

    • Computational and Text Analysis Methods
    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Text and Document Classification Technologies
    • Natural Language Processing Techniques
    • Sentiment Analysis and Opinion Mining
    • Explainable Artificial Intelligence (XAI)

Papers in

    • Topic Modeling 4
    • Natural Language Processing Techniques 3
    • Advanced Text Analysis Techniques 1
    • Text and Document Classification Technologies 1
    • Explainable Artificial Intelligence (XAI) 1
    • Computational and Text Analysis Methods 2
Journals
Machine Learning (1 paper)SHILAP Revista de lepidopterología (1 paper)Communications in computer and information science (1 paper)
Partner nations
RussiaSwitzerland

In The Last Decade

Anna Potapenko

4 papers receiving 74 citations

Peers

Anna Potapenko
Comparison fields: 5 of 36
  • General Social Sciences 23
  • Artificial Intelligence 57
  • Development 3
  • Health Informatics 1
  • Information Systems 14
Replace Georgios Balikas with:
Georgios Balikas France
Peter Makarov Switzerland
Sarah Wiegreffe United States
Stephen Mussmann United States
Prajjwal Bhargava United States
Emanuela Boroş France
Rishabh Joshi India
Jifan Chen United States
Elahe Rahimtoroghi United States
Sebastin Santy United States
Anna Potapenko relative to Georgios Balikas France Georgios Balikas's profile →
Citations per field
00.5×
Georgios Balikas · 1×
Citations per year

Countries citing papers authored by Anna Potapenko

Since Specialization
Citations

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

Fields of papers citing papers by Anna Potapenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Anna Potapenko, 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 Anna Potapenko Line = papers co-authored together Anna Potapenko links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 201462
2 20129
3 20187
4
Tutorial on Probabilistic Topic Modeling: Additive Regularization for Stochastic Matrix Factorization
20142

About Anna Potapenko

Anna Potapenko is a scholar working on Artificial Intelligence, General Social Sciences, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 80 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Computational and Text Analysis Methods (2 papers), Advanced Text Analysis Techniques (1 paper), Text and Document Classification Technologies (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in General Social Sciences (23 citations), Artificial Intelligence (57 citations), Development (3 citations), Health Informatics (1 citation) and Information Systems (14 citations). Anna Potapenko has collaborated with scholars based in Russia and Switzerland. Frequent co-authors include Konstantin Vorontsov, Octavian-Eugen Ganea and Thomas Hofmann. Their work appears in journals such as Machine Learning, SHILAP Revista de lepidopterología and Communications in computer and information 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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