Béla Gipp

5.8k citations
126 papers · 2.6k indexed · 1 hit paper · h-index 27

Béla Gipp

114 papers receiving 2.4k citations

Hit Papers

Research-paper recommender systems: a literature survey4602015202620182022100200300400

Peers

Béla Gipp
Comparison fields: 5 of 140
  • Health Informatics 77
  • Information Systems 1.3k
  • Artificial Intelligence 1.4k
  • Safety Research 268
  • Statistics, Probability and Uncertainty 162
Replace John O’Donovan with:
John O’Donovan United States
Hermann Maurer Austria
Min Zhang China
Przemysław Kazienko Poland
Jordan Boyd‐Graber United States
Naif Radi Aljohani Saudi Arabia
James Caverlee United States
Veda C. Storey United States
Tobias Blanke United Kingdom
Joeran Beel Germany
Béla Gipp relative to John O’Donovan United States John O’Donovan's profile →
Citations per field
00.5×7.7×
John O’Donovan · 1×
Citations per year

Countries citing papers authored by Béla Gipp

Since Specialization
Citations

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

Fields of papers citing papers by Béla Gipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20251
4 20240
5 20240
6 20242
7 20243
8 20231
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10 202221
11 20221
12 20211
13 20198
14
Towards Formula Concept Discovery and Recognition
20194
15
Improving the representation and conversion of mathematical formulae by considering the textual context
20181
16
Virtual Patent - Enabling the Traceability of Ideas Shared Online Using Decentralized Trusted Timestamping.
20176
17 20178
18
Citation-based plagiarism detection - idea, implementation and evalutation.
20121
19 200913
20
Identifying Related Documents For Research Paper Recommender By CPA And COA
200912

About Béla Gipp

Béla Gipp is a scholar working on Artificial Intelligence, Safety Research, Health Informatics, Information Systems and Information Systems and Management, having authored 126 papers that have together received 2.6k indexed citations. Recurring topics across this work include Topic Modeling (43 papers), Natural Language Processing Techniques (27 papers), Mathematics, Computing, and Information Processing (19 papers), Academic integrity and plagiarism (17 papers), Advanced Text Analysis Techniques (15 papers), Recommender Systems and Techniques (10 papers), Blockchain Technology Applications and Security (9 papers) and Misinformation and Its Impacts (9 papers). The work is most often cited by research in Health Informatics (77 citations), Information Systems (1.3k citations), Artificial Intelligence (1.4k citations), Safety Research (268 citations) and Statistics, Probability and Uncertainty (162 citations). Béla Gipp has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Joeran Beel, Corinna Breitinger, Norman Meuschke, Stefan Langer, Felix Hamborg, Moritz Schubotz, Karsten Donnay, Andreas Nürnberger, Tomáš Foltýnek and Marcel Genzmehr. Their work appears in journals such as D-Lib Magazine, International Journal on Digital Libraries, ACM Computing Surveys, Journal of Scholarly Publishing and Scientometrics.

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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