Alexander Panchenko

2.5k citations
110 papers · 851 · h-index 15

Impact in

Papers in

    • Topic Modeling 61
    • Natural Language Processing Techniques 52
    • Advanced Text Analysis Techniques 12
    • Hate Speech and Cyberbullying Detection 7
    • Text Readability and Simplification 7
    • Spam and Phishing Detection 6

Alexander Panchenko

95 papers receiving 789 citations

Peers

Alexander Panchenko
Comparison fields: 5 of 108
  • Artificial Intelligence 538
  • Mathematical Physics 89
  • Computational Theory and Mathematics 91
  • Information Systems 105
  • Health Informatics 5
Replace Pablo Gamallo with:
Pablo Gamallo Spain
Michael Piatek United States
Chu Wang China
Nenad Tomašev Slovenia
Marc Lackenby United Kingdom
Yanchen Shi China
Geordie Williamson Australia
Yueping Li China
Alexander Panchenko relative to Pablo Gamallo Spain Pablo Gamallo's profile →
Citations per field
00.5×7.4×
Pablo Gamallo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Alexander Panchenko, 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 Alexander Panchenko Line = papers co-authored together Alexander Panchenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201674
2 200371
3 202252
4 201639
5 201934
6 201324
7 201920
8 202220
9 201320
10 201717
11 199917
12 201717
13 200517
14 202116
15 202214
16
A Semantic Similarity Measure Based on Lexico-Syntactic Patterns
201214
17 201713
18 200713
19 201913
20 202012

About Alexander Panchenko

Alexander Panchenko is a scholar working on Artificial Intelligence, Information Systems, Mechanics of Materials, Computational Theory and Mathematics and Molecular Biology, having authored 110 papers that have together received 851 indexed citations. Recurring topics across this work include Topic Modeling (61 papers), Natural Language Processing Techniques (52 papers), Advanced Text Analysis Techniques (12 papers), Composite Material Mechanics (9 papers), Advanced Mathematical Modeling in Engineering (9 papers), Hate Speech and Cyberbullying Detection (7 papers), Text Readability and Simplification (7 papers) and Spam and Phishing Detection (6 papers). The work is most often cited by research in Artificial Intelligence (538 citations), Mathematical Physics (89 citations), Computational Theory and Mathematics (91 citations), Information Systems (105 citations) and Health Informatics (5 citations). Alexander Panchenko has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include Chris Biemann, Lassi Païvärinta, Günther Uhlmann, Robert P. Gilbert, Artem Shelmanov, Simone Paolo Ponzetto, Stefano Faralli, Daryna Dementieva, Varvara Logacheva and Cédrick Fairon. Their work appears in journals such as Language Resources and Evaluation, Mathematical and Computer Modelling, SIAM Journal on Mathematical Analysis, Semantic Web and Mathematical Methods in the Applied Sciences.

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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