Daniel Lopez Codina
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 detection and testing
Papers in
-
- COVID-19 epidemiological studies 10
-
- Tuberculosis Research and Epidemiology 8
- Co-authors
- Clara Prats (39 shared papers)Joaquim Valls (17 shared papers)Marta Ginovart Gisbert (7 shared papers)Père-Joan Cardona (15 shared papers)Josep Vives-Rego (3 shared papers)A. Giró (6 shared papers)Sergio Alonso (13 shared papers)Martí Català (12 shared papers)
- Journals
- PLoS ONE (7 papers)Journal of Theoretical Biology (4 papers)Frontiers in Microbiology (4 papers)Frontiers in Public Health (4 papers)Scientific Reports (2 papers)
- Partner nations
- SpainUnited KingdomBrazil
In The Last Decade
Daniel Lopez Codina
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Modeling and Simulation 95
- Infectious Diseases 128
- Health Informatics 10
- Soil Science 43
- Physical and Theoretical Chemistry 20
Countries citing papers authored by Daniel Lopez Codina
This map shows the geographic impact of Daniel Lopez Codina'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 Daniel Lopez Codina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lopez Codina more than expected).
Fields of papers citing papers by Daniel Lopez Codina
This network shows the impact of papers produced by Daniel Lopez Codina. 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 Daniel Lopez Codina. The network helps show where Daniel Lopez Codina may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lopez Codina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 100 | |
| 2 | 2008 | 75 | |
| 3 | 2017 | 70 | |
| 4 | 2002 | 69 | |
| 5 | 2023 | 55 | |
| 6 | 2009 | 49 | |
| 7 | 2022 | 49 | |
| 8 | 2005 | 45 | |
| 9 | 2018 | 39 | |
| 10 | 2006 | 32 | |
| 11 | 2022 | 30 | |
| 12 | 2008 | 29 | |
| 13 | 2002 | 26 | |
| 14 | 2021 | 25 | |
| 15 | 2020 | 24 | |
| 16 | 2021 | 23 | |
| 17 | 2016 | 22 | |
| 18 | 2021 | 22 | |
| 19 | 1987 | 20 | |
| 20 | 1988 | 20 |
About Daniel Lopez Codina
Daniel Lopez Codina is a scholar working on Modeling and Simulation, Infectious Diseases, Computer Vision and Pattern Recognition, Physical and Theoretical Chemistry and Public Health, Environmental and Occupational Health, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), Tuberculosis Research and Epidemiology (8 papers), Digital Imaging for Blood Diseases (7 papers), thermodynamics and calorimetric analyses (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Malaria Research and Control (2 papers), Weed Control and Herbicide Applications (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Modeling and Simulation (95 citations), Infectious Diseases (128 citations), Health Informatics (10 citations), Soil Science (43 citations) and Physical and Theoretical Chemistry (20 citations). Daniel Lopez Codina has collaborated with scholars based in Spain, United Kingdom and Brazil. Frequent co-authors include Clara Prats, Joaquim Valls, Marta Ginovart Gisbert, Père-Joan Cardona, Josep Vives-Rego, A. Giró, Sergio Alonso, Martí Català, M. Silbert and Anna Gras. Their work appears in journals such as PLoS ONE, Journal of Theoretical Biology, Frontiers in Microbiology, Frontiers in Public Health and Scientific Reports.
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.