András Harsányi

444 citations
15 papers · 181 indexed · h-index 8
Topics
Pharmaceutical Economics and Policy (10 papers)Health Systems, Economic Evaluations, Quality of Life (9 papers)Biosimilars and Bioanalytical Methods (4 papers)
Partner nations
HungaryRomaniaBulgaria

In The Last Decade

András Harsányi

14 papers receiving 177 citations

Peers

András Harsányi
Comparison fields: 5 of 66
  • Economics and Econometrics 102
  • Immunology 54
  • Pediatrics, Perinatology and Child Health 27
  • Clinical Psychology 27
  • Psychiatry and Mental health 18
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Citations per field
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Citations per year

Countries citing papers authored by András Harsányi

Since Specialization
Citations

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

Fields of papers citing papers by András Harsányi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of András Harsányi

This figure shows the co-authorship network connecting the top 25 collaborators of András Harsányi. A scholar is included among the top collaborators of András Harsányi 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 András Harsányi. András Harsányi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 6
3 6
4 1
5 1
6 15
7 19
8 33
9 9
10 12
11 43
12
The validation of the Hungarian version of the dimensional Yale-Brown obsessive-compulsive scale.
2
13 16
14
[Hungarian translation of the Dimensional Yale-Brown Obsessive-Compulsive Scale and our first experiences with the test].
3
15
[New approach to obsessive-compulsive disorder: dopaminergic theories].
15

About András Harsányi

András Harsányi is a scholar working on Economics and Econometrics, Immunology and Management of Technology and Innovation, having authored 15 papers that have together received 181 indexed citations. Recurring topics across this work include Pharmaceutical Economics and Policy (10 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers) and Biosimilars and Bioanalytical Methods (4 papers). The work is most often cited by research in Economics and Econometrics (102 citations), Immunology (54 citations) and Pediatrics, Perinatology and Child Health (27 citations). András Harsányi has collaborated with scholars based in Hungary, Romania and Bulgaria. Frequent co-authors include Guenka Petrova, Marcell Csanádi, Tomáš Tesař, Paweł Kawalec, Zoltán Kaló, Ewa Stawowczyk, András Inotai, Adina Turcu-Ştiolică, Attila Németh and Mihály Racsmány. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Pharmacology and Value in Health.

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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