Igor Majláth

680 citations
42 papers · 496 · h-index 13

Impact in

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

Papers in

Igor Majláth

36 papers receiving 482 citations

Peers

Igor Majláth
Comparison fields: 5 of 41
  • Parasitology 359
  • Infectious Diseases 220
  • Ecology, Evolution, Behavior and Systematics 149
  • Ecological Modeling 23
  • Insect Science 64
Replace Viktória Majláthová with:
Viktória Majláthová Slovakia
Ahmet Bursalı Türkiye
Casimir V. Bolshakov Russia
Ladislav Mošanský Slovakia
Kátia Maria Famadas Brazil
Leigh-Anne Simmons United States
Sirpa Kaunisto Finland
Marlène Dupraz France
Stephen G. Bennett United States
Ferdinand Rühe Germany
Igor Majláth relative to Viktória Majláthová Slovakia Viktória Majláthová's profile →
Citations per field
00.5×1.5×
Viktória Majláthová · 1×
Citations per year

Countries citing papers authored by Igor Majláth

Since Specialization
Citations

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

Fields of papers citing papers by Igor Majláth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200655
2 200750
3 201442
4 200839
5 201134
6 201132
7 201129
8 200925
9 200817
10 201017
11 201316
12 201616
13 201813
14 201012
15 201711
16 202011
17 200910
18 20189
19 20208
20 20226

About Igor Majláth

Igor Majláth is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics, Infectious Diseases, Genetics and Insect Science, having authored 42 papers that have together received 496 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (25 papers), Viral Infections and Vectors (10 papers), Insect and Arachnid Ecology and Behavior (7 papers), Insect and Pesticide Research (7 papers), Amphibian and Reptile Biology (7 papers), Bird parasitology and diseases (6 papers), Electromagnetic Fields and Biological Effects (6 papers) and Animal Behavior and Reproduction (5 papers). The work is most often cited by research in Parasitology (359 citations), Infectious Diseases (220 citations), Ecology, Evolution, Behavior and Systematics (149 citations), Ecological Modeling (23 citations) and Insect Science (64 citations). Igor Majláth has collaborated with scholars based in Slovakia, Poland and Czechia. Frequent co-authors include Viktória Majláthová, Branislav Peťko, Piotr Tryjanowski, Bronislava Víchová, Markéta Derdáková, Zuzana Hurníková, Martin Bona, Gábor Földvári, Anna Ekner‐Grzyb and Martin Hromada. Their work appears in journals such as Parasitology Research, Life, acta ethologica, Parasites & Vectors and Vector-Borne and Zoonotic Diseases.

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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