Viktor Pekar

896 total citations
30 papers, 470 citations indexed

About

Viktor Pekar is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Viktor Pekar has authored 30 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 3 papers in Information Systems. Recurrent topics in Viktor Pekar's work include Natural Language Processing Techniques (16 papers), Topic Modeling (10 papers) and Advanced Text Analysis Techniques (8 papers). Viktor Pekar is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (10 papers) and Advanced Text Analysis Techniques (8 papers). Viktor Pekar collaborates with scholars based in United Kingdom, Russia and Germany. Viktor Pekar's co-authors include Steffen Staab, Ruslan Mitkov, Constantin Orǎsan, Jane M. Binner, Sajid M. Chaudhry, Naveed Afzal, Gloria Corpas Pastor, Matteo Negri, Chris Hale and Alexander Maedche and has published in prestigious journals such as Journal of Environmental Management, Annals of Operations Research and Government Information Quarterly.

In The Last Decade

Viktor Pekar

29 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viktor Pekar United Kingdom 13 309 76 69 65 38 30 470
Victor Rodrı́guez-Doncel Spain 10 184 0.6× 62 0.8× 24 0.3× 120 1.8× 10 0.3× 50 355
Keith Stevens United States 7 329 1.1× 62 0.8× 25 0.4× 78 1.2× 20 0.5× 13 482
Stephen R. Poteet United States 5 187 0.6× 47 0.6× 25 0.4× 109 1.7× 13 0.3× 9 336
Mahmoud El‐Haj United Kingdom 14 343 1.1× 21 0.3× 11 0.2× 55 0.8× 16 0.4× 46 573
Enrico Francesconi Italy 12 331 1.1× 34 0.4× 18 0.3× 121 1.9× 4 0.1× 60 529
Yun Zhu United States 9 232 0.8× 94 1.2× 19 0.3× 109 1.7× 49 1.3× 26 514
John Cardiff Ireland 11 185 0.6× 123 1.6× 19 0.3× 103 1.6× 53 1.4× 41 327
Fuyuki Yoshikane Japan 10 95 0.3× 29 0.4× 25 0.4× 108 1.7× 8 0.2× 41 419
Kyo Kageura Japan 9 447 1.4× 16 0.2× 92 1.3× 92 1.4× 4 0.1× 92 605
Ashwin Ittoo Netherlands 9 104 0.3× 13 0.2× 18 0.3× 54 0.8× 24 0.6× 26 246

Countries citing papers authored by Viktor Pekar

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Pekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktor Pekar

This figure shows the co-authorship network connecting the top 25 collaborators of Viktor Pekar. A scholar is included among the top collaborators of Viktor Pekar 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 Viktor Pekar. Viktor Pekar 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
1.
Pekar, Viktor, Marina Candi, Ahmad Beltagui, Nikolaos Stylos, & Wei Liu. (2024). Explainable text-based features in predictive models of crowdfunding campaigns. Annals of Operations Research. 354(1). 367–397. 7 indexed citations
2.
Chaudhry, Sajid M., et al.. (2023). Environmental, social and governance (ESG) performance of firms in the era of geopolitical conflicts. Journal of Environmental Management. 351. 119744–119744. 39 indexed citations
3.
Pekar, Viktor, et al.. (2021). Voting intentions on social media and political opinion polls. Government Information Quarterly. 39(4). 101658–101658. 9 indexed citations
4.
Pekar, Viktor, Michael Felderer, & Ruth Breu. (2014). Improvement Methods for Software Requirement Specifications: A Mapping Study. 242–245. 4 indexed citations
5.
Pekar, Viktor, et al.. (2014). Exploring Options for Fast Domain Adaptation of Dependency Parsers. 54–65. 5 indexed citations
6.
Afzal, Naveed & Viktor Pekar. (2009). Unsupervised Relation Extraction for Automatic Generation of Multiple-Choice Questions. Recent Advances in Natural Language Processing. 1–5. 2 indexed citations
7.
Pekar, Viktor, et al.. (2009). Proceedings of the Workshop on Natural Language Processing Methods and Corpora in Translation, Lexicography, and Language Learning. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 4 indexed citations
8.
Pastor, Gloria Corpas, Ruslan Mitkov, Naveed Afzal, & Viktor Pekar. (2008). Translation universals: do they exist? A corpus-based NLP study of convergence and simplification. Conference of the Association for Machine Translation in the Americas. 75–81. 26 indexed citations
9.
Pekar, Viktor, et al.. (2008). Development and Alignment of a Domain-Specific Ontology for Question Answering. 39. 53–7. 36 indexed citations
10.
Pekar, Viktor, et al.. (2008). Discovery of subjective evaluations of product features in hotel reviews. Journal Of Vacation Marketing. 14(2). 145–155. 56 indexed citations
11.
Mitkov, Ruslan, et al.. (2007). Methods for extracting and classifying pairs of cognates and false friends. Machine Translation. 21(1). 29–53. 22 indexed citations
12.
Pekar, Viktor, et al.. (2006). Automatic Detection of Orthographics Cues for Cognate Recognition. Language Resources and Evaluation. 2387–2390. 26 indexed citations
13.
Pekar, Viktor & Richard Evans. (2005). Automatic Discovery of NLP Resources on the Web. 1 indexed citations
14.
Pekar, Viktor, Richard Evans, & Ruslan Mitkov. (2004). Categorizing Web Pages as a Preprocessing Step for Information Extraction. Language Resources and Evaluation. 1 indexed citations
15.
Orǎsan, Constantin, et al.. (2004). A Comparison of Summarisation Methods Based on Term Specificity Estimation. Language Resources and Evaluation. 25 indexed citations
16.
Pekar, Viktor. (2004). Linguistic preprocessing for distributional classification of words. 15–15. 3 indexed citations
17.
Pekar, Viktor, et al.. (2004). Feature weighting for co-occurrence-based classification of words. 799–es. 12 indexed citations
18.
Maedche, Alexander, Viktor Pekar, & Steffen Staab. (2002). Ontology Learning Part One - On Discovering Taxonomic Relations from the Web. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 15 indexed citations
19.
Pekar, Viktor & Steffen Staab. (2002). Taxonomy learning. 1. 1–7. 72 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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