Viktor Pekar
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
Papers in
-
- Natural Language Processing Techniques 16
- Topic Modeling 10
- Advanced Text Analysis Techniques 8
- Sentiment Analysis and Opinion Mining 6
- Text and Document Classification Technologies 4
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- Digital Marketing and Social Media 3
- Co-authors
- Steffen Staab (4 shared papers)Ruslan Mitkov (4 shared papers)Constantin Orǎsan (2 shared papers)Jane M. Binner (4 shared papers)Sajid M. Chaudhry (1 shared paper)Naveed Afzal (3 shared papers)Gloria Corpas Pastor (1 shared paper)Matteo Negri (1 shared paper)
- Journals
- Language Resources and Evaluation (3 papers)Machine Translation (2 papers)Journal of Environmental Management (1 paper)Annals of Operations Research (1 paper)Journal Of Vacation Marketing (1 paper)
- Partner nations
- United KingdomRussiaGermany
In The Last Decade
Viktor Pekar
29 papers receiving 430 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 310
- Marketing 38
- Language and Linguistics 38
- General Energy 3
- Information Systems 66
Countries citing papers authored by Viktor Pekar
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
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-authors
The 21 scholars most cited alongside Viktor Pekar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 72 | |
| 2 | 2008 | 57 | |
| 3 | 2023 | 41 | |
| 4 | 2008 | 36 | |
| 5 | 2019 | 29 | |
| 6 | Translation universals: do they exist? A corpus-based NLP study of convergence and simplification | 2008 | 26 |
| 7 | 2006 | 26 | |
| 8 | 2004 | 25 | |
| 9 | 2007 | 22 | |
| 10 | 2006 | 19 | |
| 11 | 2006 | 17 | |
| 12 | Ontology Learning Part One - On Discovering Taxonomic Relations from the Web | 2002 | 15 |
| 13 | 2003 | 13 | |
| 14 | 2004 | 12 | |
| 15 | 2007 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2024 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2014 | 5 | |
| 20 | Exploring Options for Fast Domain Adaptation of Dependency Parsers | 2014 | 5 |
About Viktor Pekar
Viktor Pekar is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Statistical and Nonlinear Physics and Marketing, having authored 30 papers that have together received 477 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Topic Modeling (10 papers), Advanced Text Analysis Techniques (8 papers), Sentiment Analysis and Opinion Mining (6 papers), Text and Document Classification Technologies (4 papers), Digital Marketing and Social Media (3 papers), Consumer Market Behavior and Pricing (3 papers) and linguistics and terminology studies (2 papers). The work is most often cited by research in Artificial Intelligence (310 citations), Marketing (38 citations), Language and Linguistics (38 citations), General Energy (3 citations) and Information Systems (66 citations). Viktor Pekar has collaborated with scholars based in United Kingdom, Russia and Germany. Frequent 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. Their work appears in journals such as Language Resources and Evaluation, Machine Translation, Journal of Environmental Management, Annals of Operations Research and Journal Of Vacation Marketing.
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.