Dávid Kováts

844 citations
23 papers · 521 · h-index 13

Impact in

    • Vector-borne infectious diseases
    • Bartonella species infections research
    • Bird parasitology and diseases
    • Viral Infections and Vectors

Papers in

    • Vector-borne infectious diseases 14
    • Bartonella species infections research 3
    • Bird parasitology and diseases 2
    • Viral Infections and Vectors 8

Dávid Kováts

22 papers receiving 516 citations

Peers

Dávid Kováts
Comparison fields: 5 of 44
  • Parasitology 439
  • Infectious Diseases 296
  • Ecology, Evolution, Behavior and Systematics 168
  • Virology 36
  • Insect Science 41
Replace Cristina García‐Amil with:
Cristina García‐Amil Spain
Lucia Hui United States
Jerzy Michalik Poland
Dorota Dwużnik-Szarek Poland
Alexandra Corduneanu Romania
Maciej Kowalec Poland
Hannah Newbury United Kingdom
Violaine Cotté France
Manuela Rodríguez‐Vargas Spain
Lenka Mahríková Slovakia
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Citations per field
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Cristina García‐Amil · 1×
Citations per year

Countries citing papers authored by Dávid Kováts

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Kováts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014108
2 201965
3 201650
4 201842
5 201540
6 201438
7 201727
8 202026
9 201717
10 201816
11 202315
12 201713
13 201613
14 20248
15 20248
16 20247
17 20167
18 20235
19 20125
20 20154

About Dávid Kováts

Dávid Kováts is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Genetics and Ecology, having authored 23 papers that have together received 521 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (14 papers), Viral Infections and Vectors (8 papers), Bartonella species infections research (3 papers), Bird parasitology and diseases (2 papers), Vector-Borne Animal Diseases (2 papers), Avian ecology and behavior (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Parasitology (439 citations), Infectious Diseases (296 citations), Ecology, Evolution, Behavior and Systematics (168 citations), Virology (36 citations) and Insect Science (41 citations). Dávid Kováts has collaborated with scholars based in Hungary, Romania and Switzerland. Frequent co-authors include Sándor Hornok, Nóra Takács, Jenő Kontschán, Róbert Farkas, Tibor Csörgő, Péter Estók, Tamás Görföl, Regina Hofmann‐Lehmann, Attila D. Sándor and Marina L. Meli. Their work appears in journals such as Parasites & Vectors, Scientific Reports, Experimental and Applied Acarology, Ticks and Tick-borne Diseases and Microbial Ecology.

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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