Mateusz Markowicz

740 citations
41 papers · 523 · h-index 12

Impact in

Papers in

Mateusz Markowicz

39 papers receiving 510 citations

Peers

Mateusz Markowicz
Comparison fields: 5 of 55
  • Parasitology 391
  • Infectious Diseases 292
  • Ecology, Evolution, Behavior and Systematics 114
  • Microbiology 32
  • Public Health, Environmental and Occupational Health 116
Replace Anna‐Margarita Schötta with:
Anna‐Margarita Schötta Austria
Katharina Boden Germany
Michael Reiter Austria
Victor Martínez de Artola Spain
Cathy Barthel France
Rossella Murgia Italy
Maja Arnež Slovenia
Rendi Murphree Bacon United States
Lan Ma China
G. Stanek Austria
Mateusz Markowicz relative to Anna‐Margarita Schötta Austria Anna‐Margarita Schötta's profile →
Citations per field
00.5×1.5×2×
Anna‐Margarita Schötta · 1×
Citations per year

Countries citing papers authored by Mateusz Markowicz

Since Specialization
Citations

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

Fields of papers citing papers by Mateusz Markowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017118
2 202354
3 201839
4 202138
5 201833
6 201928
7 202026
8 202219
9 201318
10 201616
11 202214
12 201512
13 201510
14 20159
15 20208
16 20178
17 20208
18 20207
19 20196
20 20225

About Mateusz Markowicz

Mateusz Markowicz is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Virology and Microbiology, having authored 41 papers that have together received 523 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (30 papers), Viral Infections and Vectors (21 papers), Vector-Borne Animal Diseases (12 papers), Dermatological diseases and infestations (6 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Mosquito-borne diseases and control (3 papers), Bacillus and Francisella bacterial research (3 papers) and Poxvirus research and outbreaks (2 papers). The work is most often cited by research in Parasitology (391 citations), Infectious Diseases (292 citations), Ecology, Evolution, Behavior and Systematics (114 citations), Microbiology (32 citations) and Public Health, Environmental and Occupational Health (116 citations). Mateusz Markowicz has collaborated with scholars based in Austria, Sweden and Slovenia. Frequent co-authors include Gerold Stanek, Anna‐Margarita Schötta, Hannes S. J. Stockinger, Franc Strle, Volker Fingerle, Michael Kundi, Ram Benny Dessau, Katharina Ornstein, B. Jaulhac and Sally Mavin. Their work appears in journals such as Emerging infectious diseases, Ticks and Tick-borne Diseases, Clinical Microbiology and Infection, BMC Infectious Diseases and Eurosurveillance.

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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