Jónathan Heras
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
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- Logic, programming, and type systems 14
- AI in cancer detection 6
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- Topological and Geometric Data Analysis 8
- Computability, Logic, AI Algorithms 6
- Co-authors
- César Domínguez (30 shared papers)Vico Pascual (33 shared papers)Eloy Mata (23 shared papers)Myriam Zarazaga (3 shared papers)Cármen Torres (3 shared papers)Carmen Lozano (2 shared papers)Afshin Shoeibi (5 shared papers)J. M. Górriz (5 shared papers)
- Journals
- Computers in Biology and Medicine (5 papers)Computer Methods and Programs in Biomedicine (4 papers)BMC Bioinformatics (3 papers)Lecture notes in computer science (23 papers)Soft Computing (2 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Jónathan Heras
77 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 154
- Molecular Medicine 101
- Endocrinology 90
- Health Informatics 16
- Biophysics 68
- Neurology 70
Countries citing papers authored by Jónathan Heras
This map shows the geographic impact of Jónathan Heras'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 Jónathan Heras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jónathan Heras more than expected).
Fields of papers citing papers by Jónathan Heras
This network shows the impact of papers produced by Jónathan Heras. 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 Jónathan Heras. The network helps show where Jónathan Heras may publish in the future.
Co-authors
The 25 scholars most cited alongside Jónathan Heras, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 261 | |
| 2 | 2021 | 144 | |
| 3 | 2021 | 126 | |
| 4 | 2019 | 59 | |
| 5 | 2020 | 50 | |
| 6 | 2017 | 44 | |
| 7 | 2016 | 41 | |
| 8 | 2023 | 39 | |
| 9 | 2017 | 38 | |
| 10 | 2022 | 36 | |
| 11 | 2013 | 33 | |
| 12 | 2022 | 30 | |
| 13 | 2020 | 29 | |
| 14 | 2020 | 25 | |
| 15 | 2013 | 22 | |
| 16 | 2016 | 21 | |
| 17 | 2022 | 19 | |
| 18 | 2024 | 16 | |
| 19 | 2015 | 15 | |
| 20 | 2023 | 12 |
About Jónathan Heras
Jónathan Heras is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Logic, programming, and type systems (14 papers), Cell Image Analysis Techniques (12 papers), Topological and Geometric Data Analysis (8 papers), Advanced Database Systems and Queries (7 papers), Smart Agriculture and AI (7 papers), AI in cancer detection (6 papers), Computability, Logic, AI Algorithms (6 papers) and Digital Image Processing Techniques (5 papers). The work is most often cited by research in Molecular Medicine (101 citations), Endocrinology (90 citations), Health Informatics (16 citations), Biophysics (68 citations) and Neurology (70 citations). Jónathan Heras has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include César Domínguez, Vico Pascual, Eloy Mata, Myriam Zarazaga, Cármen Torres, Carmen Lozano, Afshin Shoeibi, J. M. Górriz, Ekaterina Komendantskaya and Parisa Moridian. Their work appears in journals such as Computers in Biology and Medicine, Computer Methods and Programs in Biomedicine, BMC Bioinformatics, Lecture notes in computer science and Soft Computing.
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.