Jerónimo Hernández-González
- Artificial Intelligence top 10%
- Information Systems
- Computer Vision and Pattern Recognition
- Software
- Molecular Biology
- Co-authors
- José A. LozanoIñaki InzaKarim LekadirRachel HarrisonDaniel RodríguezJordi Mur-PetitMarina CamachoJordi Vitrià
- Topics
- Machine Learning and Data Classification (5 papers)Mobile Crowdsensing and Crowdsourcing (5 papers)Imbalanced Data Classification Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPattern Recognition
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Jerónimo Hernández-González
21 papers receiving 253 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 127
- Information Systems 32
- Computer Vision and Pattern Recognition 32
- Software 18
- Molecular Biology 16
Countries citing papers authored by Jerónimo Hernández-González
This map shows the geographic impact of Jerónimo Hernández-González'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 Jerónimo Hernández-González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerónimo Hernández-González more than expected).
Fields of papers citing papers by Jerónimo Hernández-González
This network shows the impact of papers produced by Jerónimo Hernández-González. 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 Jerónimo Hernández-González. The network helps show where Jerónimo Hernández-González may publish in the future.
Co-authorship network of co-authors of Jerónimo Hernández-González
This figure shows the co-authorship network connecting the top 25 collaborators of Jerónimo Hernández-González. A scholar is included among the top collaborators of Jerónimo Hernández-González 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 Jerónimo Hernández-González. Jerónimo Hernández-González is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 40 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 24 | |
| 17 | 21 | |
| 18 | 57 | |
| 19 | 8 | |
| 20 | 47 |
About Jerónimo Hernández-González
Jerónimo Hernández-González is a scholar working on Computer Science Applications, Health Informatics and Software, having authored 24 papers that have together received 257 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (5 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Imbalanced Data Classification Techniques (5 papers). The work is most often cited by research in Health Informatics (9 citations), Software (18 citations) and Artificial Intelligence (127 citations). Jerónimo Hernández-González has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include José A. Lozano, Iñaki Inza, Karim Lekadir, Rachel Harrison, Daniel Rodríguez, Jordi Mur-Petit, Marina Camacho, Jordi Vitrià, Polyxeni Gkontra and Marc Chadeau‐Hyam. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Pattern Recognition.
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.