Viktor Pekar

896 citations
30 papers · 470 · h-index 13

Impact in

    • 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
    • Semantic Web and Ontologies 2
    • Digital Marketing and Social Media 3

Viktor Pekar

29 papers receiving 422 citations

Peers

Viktor Pekar
Comparison fields: 5 of 63
  • Artificial Intelligence 309
  • Marketing 38
  • Language and Linguistics 38
  • General Energy 3
  • Information Systems 65
Replace Mahmoud El‐Haj with:
Mahmoud El‐Haj United Kingdom
Stephen R. Poteet United States
Abbas Foroughi United States
Alexander Hogenboom Netherlands
Jung‐ran Park United States
Keith Stevens United States
John Cardiff Ireland
Anne Schuth Netherlands
A.R. Lodder Netherlands
Kiyoaki Shirai Japan
Viktor Pekar relative to Mahmoud El‐Haj United Kingdom Mahmoud El‐Haj's profile →
Citations per field
00.5×1.5×2.4×
Mahmoud El‐Haj · 1×
Citations per year

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-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.

Border = papers with Viktor Pekar Line = papers co-authored together Viktor Pekar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200272
2 200856
3 202339
4 200836
5 201927
6
Automatic Detection of Orthographics Cues for Cognate Recognition
200626
7
Translation universals: do they exist? A corpus-based NLP study of convergence and simplification
200826
8
A Comparison of Summarisation Methods Based on Term Specificity Estimation
200425
9 200722
10 200618
11 200617
12
Ontology Learning Part One - On Discovering Taxonomic Relations from the Web
200215
13 200313
14 200412
15 200711
16 20219
17 20247
18 20177
19
Exploring Options for Fast Domain Adaptation of Dependency Parsers
20145
20 20145

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 470 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), Consumer Market Behavior and Pricing (3 papers), Digital Marketing and Social Media (3 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (309 citations), Marketing (38 citations), Language and Linguistics (38 citations), General Energy (3 citations) and Information Systems (65 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 Vacation Marketing, Government Information Quarterly and Journal of Environmental Management.

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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