Péter Jacsó

2.6k citations
91 papers · 2.1k · h-index 24

Impact in

Papers in

    • scientometrics and bibliometrics research 36
    • Information Retrieval and Search Behavior 14
    • Web visibility and informetrics 12
    • Research Data Management Practices 10
    • Web Data Mining and Analysis 8
    • Library Science and Information Systems 5

Péter Jacsó

87 papers receiving 1.9k citations

Peers

Péter Jacsó
Comparison fields: 5 of 140
  • Statistics, Probability and Uncertainty 1.0k
  • Library and Information Sciences 50
  • Information Systems 788
  • Information Systems and Management 223
  • History and Philosophy of Science 127
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Péter Jacsó relative to Mikael Laakso Finland Mikael Laakso's profile →
Citations per field
00.5×1.5×2.1×
Mikael Laakso · 1×
Citations per year

Countries citing papers authored by Péter Jacsó

Since Specialization
Citations

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

Fields of papers citing papers by Péter Jacsó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Péter Jacsó, 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 Péter Jacsó Line = papers co-authored together Péter Jacsó links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005294
2 2008161
3 2006130
4 2010113
5 2008100
6 200884
7 200968
8 200960
9 201159
10 200856
11 200854
12 200847
13 201047
14 200145
15 200942
16 201239
17
Content Evaluation of Databases.
199736
18 200635
19 200934
20 201232

About Péter Jacsó

Péter Jacsó is a scholar working on Statistics, Probability and Uncertainty, Information Systems, History and Philosophy of Science, Information Systems and Management and Artificial Intelligence, having authored 91 papers that have together received 2.1k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (36 papers), Information Retrieval and Search Behavior (14 papers), Web visibility and informetrics (12 papers), Publishing and Scholarly Communication (11 papers), Research Data Management Practices (10 papers), Web Data Mining and Analysis (8 papers), Academic Publishing and Open Access (6 papers) and Library Science and Information Systems (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.0k citations), Library and Information Sciences (50 citations), Information Systems (788 citations), Information Systems and Management (223 citations) and History and Philosophy of Science (127 citations). Péter Jacsó has collaborated with scholars based in United States. Frequent co-authors include Carol Tenopir. Their work appears in journals such as Online Information Review, Computers in Libraries archive, Scientometrics, Library & Information Science Research and El Profesional de la Informacion.

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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