Árpád Párdutz

47 papers receiving 1.5k citations

Peers

Árpád Párdutz
Comparison fields: 5 of 79
  • Biological Psychiatry 305
  • Psychiatry and Mental health 960
  • Behavioral Neuroscience 144
  • Endocrine and Autonomic Systems 208
  • Neurology 159
Replace Bernadett Tuka with:
Bernadett Tuka Hungary
J.D. Classey United Kingdom
Olena V. Bogdanova France
F Zamberlan Italy
Tamás Farkas Hungary
George Jurjus United States
Viktória Kormos Hungary
Sophie Dutheil United States
Michelle K. Winter United States
Abigail J. Sheldrick Germany
Árpád Párdutz relative to Bernadett Tuka Hungary Bernadett Tuka's profile →
Citations per field
00.5×1.5×2.0×
Bernadett Tuka · 1×
Citations per year

Countries citing papers authored by Árpád Párdutz

Since Specialization
Citations

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

Fields of papers citing papers by Árpád Párdutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000119
2 2009110
3 201687
4 201286
5 200269
6 201263
7 201060
8 201758
9 200958
10 201252
11 201543
12 201841
13 200541
14 201038
15 200937
16 200432
17 202132
18 201132
19 200630
20 201129

About Árpád Párdutz

Árpád Párdutz is a scholar working on Psychiatry and Mental health, Biological Psychiatry, Physiology, Social Psychology and Pathology and Forensic Medicine, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Migraine and Headache Studies (33 papers), Tryptophan and brain disorders (12 papers), Neuroendocrine regulation and behavior (9 papers), Trigeminal Neuralgia and Treatments (7 papers), Neuroscience of respiration and sleep (7 papers), Pain Mechanisms and Treatments (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Biological Psychiatry (305 citations), Psychiatry and Mental health (960 citations), Behavioral Neuroscience (144 citations), Endocrine and Autonomic Systems (208 citations) and Neurology (159 citations). Árpád Párdutz has collaborated with scholars based in Hungary, Czechia and Belgium. Frequent co-authors include László Vécsei, Jean Schoenen, József Toldi, János Tajti, Enikő Vámos, Sylvie Multon, Zsuzsanna Bohár, Bernadett Tuka, Délia Szok and Nikoletta Szabó. Their work appears in journals such as Journal of Neural Transmission, The Journal of Headache and Pain, Cephalalgia, Frontiers in Neurology and Journal of the Neurological Sciences.

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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