Daniel Herrera
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
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- Vaccine Coverage and Hesitancy
Papers in
-
- Robotic Path Planning Algorithms 5
- Visual Attention and Saliency Detection 2
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- Control and Dynamics of Mobile Robots 3
- Adaptive Control of Nonlinear Systems 2
- Co-authors
- Gustavo de los Campos (2 shared papers)Ricardo Carelli (11 shared papers)Nana Owusu‐Boaitey (3 shared papers)Flavio Robertí (5 shared papers)Andrew Levin (3 shared papers)Gideon Meyerowitz‐Katz (3 shared papers)Anup Malani (1 shared paper)Anthony B. Zwi (1 shared paper)
- Journals
- Journal of Vision (1 paper)Eurosurveillance (1 paper)IEEE/CAA Journal of Automatica Sinica (1 paper)Vision Research (1 paper)Journal of Theoretical Biology (1 paper)
- Partner nations
- ArgentinaUnited StatesUruguay
In The Last Decade
Daniel Herrera
22 papers receiving 328 citations
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 47
- Health 32
- Infectious Diseases 64
- Aging 4
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by Daniel Herrera
This map shows the geographic impact of Daniel Herrera'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 Herrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Herrera more than expected).
Fields of papers citing papers by Daniel Herrera
This network shows the impact of papers produced by Daniel Herrera. 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 Herrera. The network helps show where Daniel Herrera may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Herrera, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 116 | |
| 2 | 2022 | 52 | |
| 3 | 2015 | 33 | |
| 4 | 2015 | 16 | |
| 5 | 2017 | 15 | |
| 6 | 2017 | 14 | |
| 7 | 2021 | 14 | |
| 8 | 2016 | 12 | |
| 9 | 2018 | 11 | |
| 10 | 2016 | 11 | |
| 11 | 2024 | 9 | |
| 12 | 2017 | 7 | |
| 13 | 2023 | 5 | |
| 14 | 2016 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2017 | 3 | |
| 18 | 2017 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2022 | 1 |
About Daniel Herrera
Daniel Herrera is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Ocean Engineering, Infectious Diseases and Cognitive Neuroscience, having authored 25 papers that have together received 339 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (5 papers), Evacuation and Crowd Dynamics (5 papers), COVID-19 epidemiological studies (3 papers), Control and Dynamics of Mobile Robots (3 papers), Visual perception and processing mechanisms (3 papers), Adaptive Control of Nonlinear Systems (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Modeling and Simulation (47 citations), Health (32 citations), Infectious Diseases (64 citations), Aging (4 citations) and Computer Vision and Pattern Recognition (43 citations). Daniel Herrera has collaborated with scholars based in Argentina, United States and Uruguay. Frequent co-authors include Gustavo de los Campos, Ricardo Carelli, Nana Owusu‐Boaitey, Flavio Robertí, Andrew Levin, Gideon Meyerowitz‐Katz, Anup Malani, Anthony B. Zwi, Lonni Besançon and Ilya Kashnitsky. Their work appears in journals such as Journal of Vision, Eurosurveillance, IEEE/CAA Journal of Automatica Sinica, Vision Research and Journal of Theoretical Biology.
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.