Daniel Hernández García
- Artificial Intelligence
- Cognitive Neuroscience
- Social Psychology
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Angelo CangelosiTony BelpaemeChristian DondrupEmmanuel SenftOliver LemonPablo Gómez EstebanCarlos BalaguerErik Billing
- Topics
- Social Robot Interaction and HRI (10 papers)Robot Manipulation and Learning (7 papers)Robotics and Automated Systems (6 papers)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Daniel Hernández García
29 papers receiving 184 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 69
- Cognitive Neuroscience 56
- Social Psychology 54
- Control and Systems Engineering 29
- Computer Vision and Pattern Recognition 22
Countries citing papers authored by Daniel Hernández García
This map shows the geographic impact of Daniel Hernández García'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 García 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 García more than expected).
Fields of papers citing papers by Daniel Hernández García
This network shows the impact of papers produced by Daniel Hernández García. 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 García. The network helps show where Daniel Hernández García may publish in the future.
Co-authorship network of co-authors of Daniel Hernández García
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hernández García. A scholar is included among the top collaborators of Daniel Hernández García 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 Daniel Hernández García. Daniel Hernández García 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 | 0 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 19 | |
| 11 | 42 | |
| 12 | 11 | |
| 13 | Emotions of Altruism, Envy and Guilt: Experimental Evidence | 0 |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | AIsoy 1: A Robot that Perceives, Feels and Makes Decisions. | 1 |
About Daniel Hernández García
Daniel Hernández García is a scholar working on Health Informatics, General Decision Sciences and Social Psychology, having authored 32 papers that have together received 188 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (10 papers), Robot Manipulation and Learning (7 papers) and Robotics and Automated Systems (6 papers). The work is most often cited by research in Cognitive Neuroscience (56 citations), Occupational Therapy (12 citations) and Social Psychology (54 citations). Daniel Hernández García has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Angelo Cangelosi, Tony Belpaeme, Christian Dondrup, Emmanuel Senft, Oliver Lemon, Pablo Gómez Esteban, Carlos Balaguer, Erik Billing, Concepción A. Monje and Ismael Solís Moreno. Their work appears in journals such as PLoS ONE, Robotics and Autonomous Systems and Science Robotics.
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.