Vito Baraka
- Public Health, Environmental and Occupational Health top 5%
- Parasitology top 5%
- Immunology
- Computational Theory and Mathematics top 5%
- Infectious Diseases
- Co-authors
- John LusinguJean‐Pierre Van GeertruydenChristian W. WangMichael AlifrangisThomas LavstsenEske WillerslevAndaine Seguin‐OrlandoJakob S. Jespersen
- Topics
- Malaria Research and Control (24 papers)Mosquito-borne diseases and control (17 papers)Computational Drug Discovery Methods (5 papers)
- Cited by
- Public Health, Environmental and Occupational HealthParasitologyComputational Theory and Mathematics
In The Last Decade
Vito Baraka
31 papers receiving 589 citations
Peers
Comparison fields: 5 of 70
- Public Health, Environmental and Occupational Health 498
- Parasitology 105
- Immunology 99
- Computational Theory and Mathematics 90
- Infectious Diseases 77
Countries citing papers authored by Vito Baraka
This map shows the geographic impact of Vito Baraka'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 Vito Baraka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vito Baraka more than expected).
Fields of papers citing papers by Vito Baraka
This network shows the impact of papers produced by Vito Baraka. 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 Vito Baraka. The network helps show where Vito Baraka may publish in the future.
Co-authorship network of co-authors of Vito Baraka
This figure shows the co-authorship network connecting the top 25 collaborators of Vito Baraka. A scholar is included among the top collaborators of Vito Baraka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vito Baraka. Vito Baraka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 6 | |
| 12 | 22 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 13 |
About Vito Baraka
Vito Baraka is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 33 papers that have together received 594 indexed citations. Recurring topics across this work include Malaria Research and Control (24 papers), Mosquito-borne diseases and control (17 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (498 citations), Parasitology (105 citations) and Computational Theory and Mathematics (90 citations). Vito Baraka has collaborated with scholars based in Tanzania, Denmark and Belgium. Frequent co-authors include John Lusingu, Jean‐Pierre Van Geertruyden, Christian W. Wang, Michael Alifrangis, Thomas Lavstsen, Eske Willerslev, Andaine Seguin‐Orlando, Jakob S. Jespersen, Louise Turner and Thomas S. Rask. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Antimicrobial Agents and Chemotherapy.
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.