Kujtim Mersini

11 papers receiving 122 citations

Peers

Kujtim Mersini
Comparison fields: 5 of 29
  • Ecological Modeling 14
  • Infectious Diseases 49
  • Public Health, Environmental and Occupational Health 75
  • Ecology 30
  • Ecology, Evolution, Behavior and Systematics 19
Replace Érica Munhoz de Mello with:
Érica Munhoz de Mello Brazil
Mônica Mafra Valença-Montenegro Brazil
Marianne Asmüssen Venezuela
Djibril Samaké Mali
Kongsy Khammavong United States
Zsófia Lanszki Hungary
Berna Demırcı Türkiye
Priscille Barreaux Switzerland
Thiago Salomão de Azevedo Brazil
Mathieu Vanhove United States
Kujtim Mersini relative to Érica Munhoz de Mello Brazil Érica Munhoz de Mello's profile →
Citations per field
00.5×1.6×
Érica Munhoz de Mello · 1×
Citations per year

Countries citing papers authored by Kujtim Mersini

Since Specialization
Citations

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

Fields of papers citing papers by Kujtim Mersini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201726
2 201626
3 201921
4 201817
5 20209
6 20127
7 20197
8 20187
9 20192
10 20192
11 20221

About Kujtim Mersini

Kujtim Mersini is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Ecology, Small Animals and Ecological Modeling, having authored 11 papers that have together received 125 indexed citations. Recurring topics across this work include Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (4 papers), Species Distribution and Climate Change (2 papers), Malaria Research and Control (2 papers), Wildlife Ecology and Conservation (2 papers), Yersinia bacterium, plague, ectoparasites research (1 paper), Animal Ecology and Behavior Studies (1 paper) and Animal Behavior and Welfare Studies (1 paper). The work is most often cited by research in Ecological Modeling (14 citations), Infectious Diseases (49 citations), Public Health, Environmental and Occupational Health (75 citations), Ecology (30 citations) and Ecology, Evolution, Behavior and Systematics (19 citations). Kujtim Mersini has collaborated with scholars based in Albania, Italy and France. Frequent co-authors include Silvia Bino, Enkelejda Velo, Artan Simaku, Beniamino Caputo, Paul L. Reiter, Alessandra della Torre, M. Gramiccia, Aleksandra Majić Skrbinšek, Roberto Rosà and Gioia Bongiorno. Their work appears in journals such as International Journal of Infectious Diseases, Parasite, Global Ecology and Conservation, PLoS neglected tropical diseases and Parasites & Vectors.

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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