Csaba Veres

1.0k citations
25 papers · 627 · h-index 8

Impact in

Papers in

    • Semantic Web and Ontologies 15
    • Natural Language Processing Techniques 8
    • Topic Modeling 4
    • Service-Oriented Architecture and Web Services 4
    • Web Data Mining and Analysis 4

Csaba Veres

23 papers receiving 588 citations

Peers

Csaba Veres
Comparison fields: 5 of 82
  • Developmental and Educational Psychology 288
  • Cognitive Neuroscience 326
  • Artificial Intelligence 208
  • Language and Linguistics 57
  • Experimental and Cognitive Psychology 63
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Citations per year

Countries citing papers authored by Csaba Veres

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Veres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Csaba Veres, 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 Csaba Veres Line = papers co-authored together Csaba Veres links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997155
2 2020125
3 199899
4 199980
5 199866
6 202226
7 202218
8
Cognition and Modeling: Foundations for Research and Practice
20059
9 20077
10
Towards a Big Data Platform for News Angles
20196
11 20106
12
Using Psychology to Understand Conceptual Modelling
20025
13 20174
14
Mobile Location-Driven Associative Search in DBpedia with Tag Clouds.
20133
15 20093
16
Schema.org for the Semantic Web with MaDaME.
20132
17 20042
18
Crowdsourced semantics with semantic tagging: Don't just tag it, LexiTag it!
20132
19
MapXplore: linked data in the app store
20122
20 20232

About Csaba Veres

Csaba Veres is a scholar working on Artificial Intelligence, Information Systems, Developmental and Educational Psychology, Computer Networks and Communications and Molecular Biology, having authored 25 papers that have together received 627 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (15 papers), Natural Language Processing Techniques (8 papers), Service-Oriented Architecture and Web Services (4 papers), Web Data Mining and Analysis (4 papers), Topic Modeling (4 papers), Advanced Database Systems and Queries (3 papers), Data Quality and Management (3 papers) and Reading and Literacy Development (3 papers). The work is most often cited by research in Developmental and Educational Psychology (288 citations), Cognitive Neuroscience (326 citations), Artificial Intelligence (208 citations), Language and Linguistics (57 citations) and Experimental and Cognitive Psychology (63 citations). Csaba Veres has collaborated with scholars based in Norway, United States and Australia. Frequent co-authors include Kenneth I. Forster, K. I. Forster, Janet Nicol, Paul Bloom, Andreas L. Opdahl, Tareq Al-Moslmi, Bjørnar Tessem, Duc‐Tien Dang‐Nguyen, Jennifer Sampson and John Krogstie. Their work appears in journals such as Journal of Experimental Psychology Learning Memory and Cognition, IEEE Access, Journal of the Association for Information Systems, Journal of Memory and Language and Big Data and Cognitive Computing.

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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