Tamás Görföl

2.4k citations
69 papers · 1.1k · h-index 19

Impact in

Papers in

Tamás Görföl

65 papers receiving 1.1k citations

Peers

Tamás Görföl
Comparison fields: 5 of 65
  • Parasitology 352
  • Ecological Modeling 135
  • Infectious Diseases 576
  • Ecology, Evolution, Behavior and Systematics 588
  • Virology 94
Replace Gustavo Graciolli with:
Gustavo Graciolli Brazil
Carl W. Dick United States
Beza Ramasindrazana Madagascar
Péter Estók Hungary
Zuhair S. Amr Jordan
Teresa Kearney South Africa
Ricardo Moratelli Brazil
Katy L. Parise United States
Joë̈lle Goü̈y de Bellocq Czechia
Anne Lavergne French Guiana
Tamás Görföl relative to Gustavo Graciolli Brazil Gustavo Graciolli's profile →
Citations per field
00.5×1.5×2.1×
Gustavo Graciolli · 1×
Citations per year

Countries citing papers authored by Tamás Görföl

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Görföl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010135
2 201963
3 201755
4 201252
5 201648
6 201447
7 201942
8 201840
9 201337
10 201437
11 201534
12 201534
13 201728
14 201727
15 201424
16 201523
17 201623
18 201421
19 201718
20 201717

About Tamás Görföl

Tamás Görföl is a scholar working on Ecology, Evolution, Behavior and Systematics, Infectious Diseases, Ecological Modeling, Genetics and Ecology, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (36 papers), Viral Infections and Vectors (23 papers), Species Distribution and Climate Change (20 papers), Vector-borne infectious diseases (15 papers), Yersinia bacterium, plague, ectoparasites research (13 papers), Animal Virus Infections Studies (8 papers), Wildlife Ecology and Conservation (8 papers) and Viral gastroenteritis research and epidemiology (8 papers). The work is most often cited by research in Parasitology (352 citations), Ecological Modeling (135 citations), Infectious Diseases (576 citations), Ecology, Evolution, Behavior and Systematics (588 citations) and Virology (94 citations). Tamás Görföl has collaborated with scholars based in Hungary, Vietnam and Romania. Frequent co-authors include Péter Estók, Sándor Hornok, Sándor Boldogh, Jenő Kontschán, Gábor Csorba, Attila D. Sándor, Vương Tân Tú, Nóra Takács, Gábor Földvári and Dávid Kováts. Their work appears in journals such as Parasites & Vectors, Zootaxa, Journal of Zoological Systematics & Evolutionary Research, Acta Chiropterologica and PLoS ONE.

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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