Ángel Alexander Cabrera
- Artificial Intelligence top 10%
- Safety Research top 5%
- Computer Vision and Pattern Recognition
- Information Systems
- Computer Science Applications top 10%
- Co-authors
- Adam PererJason HongHong ShenHaiyi ZhuHaojian JinRobert DeLineFred HohmanMarco Túlio Ribeiro
- Topics
- Explainable Artificial Intelligence (XAI) (5 papers)Ethics and Social Impacts of AI (4 papers)Mobile Crowdsensing and Crowdsourcing (3 papers)
- Journals
- Journal of Experimental Psychology Learning Memory and CognitionACM Transactions on Computer-Human InteractionProceedings of the ACM on Human-Computer Interaction
- Partner nations
- United StatesSwitzerland
In The Last Decade
Ángel Alexander Cabrera
8 papers receiving 169 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 94
- Safety Research 68
- Computer Vision and Pattern Recognition 39
- Information Systems 25
- Computer Science Applications 25
Countries citing papers authored by Ángel Alexander Cabrera
This map shows the geographic impact of Ángel Alexander Cabrera'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 Ángel Alexander Cabrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ángel Alexander Cabrera more than expected).
Fields of papers citing papers by Ángel Alexander Cabrera
This network shows the impact of papers produced by Ángel Alexander Cabrera. 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 Ángel Alexander Cabrera. The network helps show where Ángel Alexander Cabrera may publish in the future.
Co-authorship network of co-authors of Ángel Alexander Cabrera
This figure shows the co-authorship network connecting the top 25 collaborators of Ángel Alexander Cabrera. A scholar is included among the top collaborators of Ángel Alexander Cabrera 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 Ángel Alexander Cabrera. Ángel Alexander Cabrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 26 | |
| 4 | 21 | |
| 5 | 32 | |
| 6 | 33 | |
| 7 | 40 | |
| 8 | 11 |
About Ángel Alexander Cabrera
Ángel Alexander Cabrera is a scholar working on Health Informatics, Computer Science Applications and Safety Research, having authored 8 papers that have together received 174 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (5 papers), Ethics and Social Impacts of AI (4 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Health Informatics (18 citations), Safety Research (68 citations) and Computer Science Applications (25 citations). Ángel Alexander Cabrera has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Adam Perer, Jason Hong, Hong Shen, Haiyi Zhu, Haojian Jin, Robert DeLine, Fred Hohman, Marco Túlio Ribeiro, Steven M. Drucker and Dominik Moritz. Their work appears in journals such as Journal of Experimental Psychology Learning Memory and Cognition, ACM Transactions on Computer-Human Interaction and Proceedings of the ACM on Human-Computer Interaction.
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.