Daniel Hernández
Impact in
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- Geographic Information Systems Studies
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Robotic Path Planning Algorithms 3
- Advanced Neural Network Applications 2
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- Distributed Control Multi-Agent Systems 2
- Constraint Satisfaction and Optimization 2
- Co-authors
- Paolino Di Felice (1 shared paper)Eliseo Clementini (1 shared paper)José M. Cecilia (6 shared papers)Carlos T. Calafate (5 shared papers)Juan‐Carlos Cano (5 shared papers)Juan Carlos Muñoz (1 shared paper)Ricardo Giesen (1 shared paper)Felipe Delgado (1 shared paper)
In The Last Decade
Daniel Hernández
15 papers receiving 579 citations
Peers
Comparison fields: 5 of 92
- Geography, Planning and Development 167
- Signal Processing 230
- Computer Networks and Communications 277
- Transportation 74
- Computer Vision and Pattern Recognition 170
Countries citing papers authored by Daniel Hernández
This map shows the geographic impact of Daniel Hernández'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 Hernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hernández more than expected).
Fields of papers citing papers by Daniel Hernández
This network shows the impact of papers produced by Daniel Hernández. 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 Hernández. The network helps show where Daniel Hernández may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Hernández, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 192 | |
| 2 | 1997 | 188 | |
| 3 | 2015 | 69 | |
| 4 | 2010 | 61 | |
| 5 | 2022 | 54 | |
| 6 | 2021 | 24 | |
| 7 | 2014 | 19 | |
| 8 | 2021 | 14 | |
| 9 | Working with people: rural development project with Aymaras Communities of Peru. | 2010 | 7 |
| 10 | 2017 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 1999 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 2 | |
| 15 | Planning and community development: case studies | 2012 | 1 |
| 16 | 2024 | 1 | |
| 17 | 2021 | 0 | |
| 18 | 2025 | 0 |
About Daniel Hernández
Daniel Hernández is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Aerospace Engineering, Signal Processing and General Agricultural and Biological Sciences, having authored 18 papers that have together received 652 indexed citations. Recurring topics across this work include UAV Applications and Optimization (4 papers), Robotic Path Planning Algorithms (3 papers), Rural development and sustainability (2 papers), Flood Risk Assessment and Management (2 papers), Data Management and Algorithms (2 papers), Advanced Neural Network Applications (2 papers), Distributed Control Multi-Agent Systems (2 papers) and Constraint Satisfaction and Optimization (2 papers). The work is most often cited by research in Geography, Planning and Development (167 citations), Signal Processing (230 citations), Computer Networks and Communications (277 citations), Transportation (74 citations) and Computer Vision and Pattern Recognition (170 citations). Daniel Hernández has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include Paolino Di Felice, Eliseo Clementini, José M. Cecilia, Carlos T. Calafate, Juan‐Carlos Cano, Juan Carlos Muñoz, Ricardo Giesen, Felipe Delgado, Javier Lorenzo-Navarro and Modesto Castrillón-Santana. Their work appears in journals such as Transportation Research Part B Methodological, IEEE Network, IEEE Transactions on Intelligent Transportation Systems, Mobile Networks and Applications and Remote Sensing.
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.