Katalin Parti

643 citations
34 papers · 356 indexed · h-index 9
Topics
Cybercrime and Law Enforcement Studies (15 papers)Crime Patterns and Interventions (10 papers)Hate Speech and Cyberbullying Detection (8 papers)
Journals
SHILAP Revista de lepidopterologíaPEDIATRICSFrontiers in Psychology

In The Last Decade

Katalin Parti

30 papers receiving 327 citations

Peers

Katalin Parti
Comparison fields: 5 of 58
  • Sociology and Political Science 167
  • Social Psychology 129
  • Information Systems 116
  • Artificial Intelligence 69
  • Education 67
Replace Jin Ree Lee with:
Jin Ree Lee United States
Jordana N. Navarro United States
Ryan Broll Canada
Esther María Vega Gea Spain
Ryan Randa United States
Ana María Giménez-Gualdo Spain
René Szotkowski Czechia
Bahadır Erişti Türkiye
Inmaculada Marín‐López Spain
Robert J. MacFadden Canada
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Citations per field
00.5×3.5×
Jin Ree Lee · 1×
Citations per year

Countries citing papers authored by Katalin Parti

Since Specialization
Citations

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

Fields of papers citing papers by Katalin Parti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katalin Parti

This figure shows the co-authorship network connecting the top 25 collaborators of Katalin Parti. A scholar is included among the top collaborators of Katalin Parti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katalin Parti. Katalin Parti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 7
4 9
5 1
6 8
7 1
8 11
9 9
10 12
11 12
12 21
13 12
14 6
15 85
16 1
17 1
18 1
19 3
20 4

About Katalin Parti

Katalin Parti is a scholar working on Information Systems, Neuropsychology and Physiological Psychology and Gender Studies, having authored 34 papers that have together received 356 indexed citations. Recurring topics across this work include Cybercrime and Law Enforcement Studies (15 papers), Crime Patterns and Interventions (10 papers) and Hate Speech and Cyberbullying Detection (8 papers). The work is most often cited by research in Social Psychology (129 citations), Information Systems (116 citations) and Sociology and Political Science (167 citations). Katalin Parti has collaborated with scholars based in United States, Hungary and Netherlands. Frequent co-authors include James E.Hawdon, Elizabeth Englander, Carolyn A. Lin, Robin M. Kowalski, Edward Donnerstein, Luisa Marin, Robin A. Robinson, Tibor Kiss, Randy R. Gainey and Jay S. Albanese. Their work appears in journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Frontiers in Psychology.

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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