Bernat Font

41 papers receiving 889 citations

Peers

Bernat Font
Comparison fields: 5 of 105
  • Applied Microbiology and Biotechnology 40
  • Parasitology 118
  • Epidemiology 467
  • Infectious Diseases 224
  • Microbiology 37
Replace Gabrielle Brankston with:
Gabrielle Brankston Canada
Marissa Martin United States
François Belanger Canada
Gavin B. Grant United States
Todd J. Kowalski United States
Jean‐Marie Sainty France
Amy D. Thompson United States
Timothée Klopfenstein France
Yusuf Zıya Demıroğlu Türkiye
É. Denes France
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Citations per year

Countries citing papers authored by Bernat Font

Since Specialization
Citations

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

Fields of papers citing papers by Bernat Font

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bernat Font, 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 Bernat Font Line = papers co-authored together Bernat Font 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 1994186
2 2016160
3 201483
4 200350
5 199046
6 202345
7 202243
8 202143
9 200328
10 202527
11 202125
12 202522
13 202321
14 200114
15 201311
16 201110
17 200810
18 20249
19 20219
20 19998

About Bernat Font

Bernat Font is a scholar working on Infectious Diseases, Parasitology, Computational Mechanics, Epidemiology and Statistical and Nonlinear Physics, having authored 41 papers that have together received 933 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (9 papers), Viral Infections and Vectors (6 papers), Model Reduction and Neural Networks (6 papers), Infective Endocarditis Diagnosis and Management (5 papers), Vector-borne infectious diseases (5 papers), Mycobacterium research and diagnosis (4 papers), Diagnosis and treatment of tuberculosis (4 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (40 citations), Parasitology (118 citations), Epidemiology (467 citations), Infectious Diseases (224 citations) and Microbiology (37 citations). Bernat Font has collaborated with scholars based in Spain, Netherlands and Sweden. Frequent co-authors include Facundo Manuel Segura Cabalen, Oriol Lehmkuhl, Feliu Bella, Francisco Alcántara-Ávila, Jean Rabault, Ricardo Vinuesa, T. Muñoz, V. Pineda, Dionisia Fontanals and Isabel Sanfeliú. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, Clinical Infectious Diseases, Journal of the American Heart Association, Physics of Fluids and American Journal of Tropical Medicine and Hygiene.

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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