Alexander Panchenko

2.5k total citations
110 papers, 851 citations indexed

About

Alexander Panchenko is a scholar working on Artificial Intelligence, Information Systems and Mechanics of Materials. According to data from OpenAlex, Alexander Panchenko has authored 110 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 16 papers in Information Systems and 10 papers in Mechanics of Materials. Recurrent topics in Alexander Panchenko's work include Topic Modeling (61 papers), Natural Language Processing Techniques (52 papers) and Advanced Text Analysis Techniques (12 papers). Alexander Panchenko is often cited by papers focused on Topic Modeling (61 papers), Natural Language Processing Techniques (52 papers) and Advanced Text Analysis Techniques (12 papers). Alexander Panchenko collaborates with scholars based in Russia, Germany and United States. Alexander Panchenko's co-authors include Chris Biemann, Lassi Païvärinta, Günther Uhlmann, Robert P. Gilbert, Artem Shelmanov, Stefano Faralli, Daryna Dementieva, Simone Paolo Ponzetto, Varvara Logacheva and Cédrick Fairon and has published in prestigious journals such as PLoS ONE, Journal of Physics Condensed Matter and Computer Physics Communications.

In The Last Decade

Alexander Panchenko

95 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Panchenko Russia 15 538 105 91 89 86 110 851
Pablo Gamallo Spain 17 657 1.2× 120 1.1× 26 0.3× 12 0.1× 43 0.5× 104 878
Michael Piatek United States 17 399 0.7× 177 1.7× 22 0.2× 11 0.1× 61 0.7× 23 1.4k
Palash Sarkar India 15 546 1.0× 138 1.3× 255 2.8× 17 0.2× 115 1.3× 84 883
Yueping Li China 11 179 0.3× 62 0.6× 126 1.4× 81 0.9× 61 0.7× 52 725
Jinjing Shi China 17 657 1.2× 81 0.8× 107 1.2× 13 0.1× 16 0.2× 89 836
Nenad Tomašev Slovenia 11 377 0.7× 74 0.7× 47 0.5× 8 0.1× 38 0.4× 30 643
Yanchen Shi China 6 243 0.5× 219 2.1× 56 0.6× 9 0.1× 18 0.2× 13 1.1k
Chu Wang China 10 111 0.2× 15 0.1× 16 0.2× 29 0.3× 15 0.2× 52 430

Countries citing papers authored by Alexander Panchenko

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Panchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Panchenko

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

All Works

20 of 20 papers shown
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Panov, Maxim S., et al.. (2023). Efficient Out-of-Domain Detection for Sequence to Sequence Models. 1430–1454. 3 indexed citations
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Shelmanov, Artem, et al.. (2023). Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?. 744–770. 2 indexed citations
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Va, Karlov, et al.. (2022). Active Learning for Abstractive Text Summarization. 5128–5152. 5 indexed citations
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Kotelnikov, Evgeny, et al.. (2022). RuArg-2022: Argument Mining Evaluation. arXiv (Cornell University). 333–348. 8 indexed citations
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Panchenko, Alexander, et al.. (2020). Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution. arXiv (Cornell University). 1242–1255. 12 indexed citations
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Panchenko, Alexander, et al.. (2019). Improving Neural Entity Disambiguation with Graph Embeddings. 315–322. 20 indexed citations
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Biemann, Chris, Stefano Faralli, Alexander Panchenko, & Simone Paolo Ponzetto. (2018). A framework for enriching lexical semantic resources with distributional semantics. IRIS Research product catalog (Sapienza University of Rome). 5 indexed citations
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Hagen, Matthias, et al.. (2018). Webis at TREC 2018: Common Core Track.. Text REtrieval Conference. 6 indexed citations
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Panchenko, Alexander, et al.. (2017). Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation. IRIS Research product catalog (Sapienza University of Rome). 86–98. 17 indexed citations
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Khachay, Michael, et al.. (2016). Analysis of Images, Social Networks and Texts: 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9-11, 2015. Springer eBooks.
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Panchenko, Alexander, Johannes Simon, Martin Riedl, & Chris Biemann. (2016). Noun Sense Induction and Disambiguation using Graph-Based Distributional Semantics.. 4 indexed citations
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Panchenko, Alexander. (2016). Best of Both Worlds: Making Word Sense Embeddings Interpretable. Language Resources and Evaluation. 2649–2655. 10 indexed citations
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Ignatov, Dmitry I., et al.. (2014). Analysis of Images, Social Networks and Texts: Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected. Springer eBooks. 1 indexed citations
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Panchenko, Alexander & Cédrick Fairon. (2012). Extraction of Semantic Relations between Concepts with KNN Algorithms on Wikipedia. Digital Access to Libraries. 9 indexed citations
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Panchenko, Alexander. (2011). Comparison of the Baseline Knowledge-, Corpus-, and Web-based Similarity Measures for Semantic Relations Extraction. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 11–21. 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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