Sergio Ojeda

2.5k citations
60 papers · 1.4k indexed · h-index 20

Sergio Ojeda

59 papers receiving 1.4k citations

Peers

Sergio Ojeda
Comparison fields: 5 of 110
  • Modeling and Simulation 151
  • Infectious Diseases 592
  • Reproductive Medicine 160
  • Public Health, Environmental and Occupational Health 438
  • Epidemiology 508
Replace Suzanne M. Scheaffer with:
Suzanne M. Scheaffer United States
Ilhem Messaoudi United States
Dionne P. Robinson United States
F.A. Helmond Netherlands
Ashley L. Fink United States
Christopher E. Ormsby Mexico
Alex P. Salam United Kingdom
Leonid Yurkovetskiy United States
Karen Racicot United States
Dennis Morrison United States
Sergio Ojeda relative to Suzanne M. Scheaffer United States Suzanne M. Scheaffer's profile →
Citations per field
00.5×6.3×
Suzanne M. Scheaffer · 1×
Citations per year

Countries citing papers authored by Sergio Ojeda

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Ojeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20242
4 202312
5 20239
6 20225
7 20222
8 20225
9 202214
10 20227
11 20225
12 20225
13 20204
14 201964
15 2019124
16 201923
17 201524
18 201513
19 20119
20 200919

About Sergio Ojeda

Sergio Ojeda is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Respiratory viral infections research (26 papers), Influenza Virus Research Studies (23 papers), Viral Infections and Vectors (13 papers), Mosquito-borne diseases and control (13 papers), COVID-19 epidemiological studies (12 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Pneumonia and Respiratory Infections (7 papers) and Malaria Research and Control (5 papers). The work is most often cited by research in Modeling and Simulation (151 citations), Infectious Diseases (592 citations) and Reproductive Medicine (160 citations). Sergio Ojeda has collaborated with scholars based in United States, Nicaragua and Rwanda. Frequent co-authors include Aubree Gordon, Nery Sánchez, Ángel Balmaseda, Lionel Gresh, Eva Harris, Guillermina Kuan, Roger López, Florence Rage, Raquel Burger‐Calderon and Guillermina Kuan. Their work appears in journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases, Influenza and Other Respiratory Viruses, PLoS neglected tropical diseases and Nature Communications.

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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