Ignacio Eguinoa
Impact in
-
- Scientific Computing and Data Management
Papers in
-
- Biomedical Text Mining and Ontologies 2
- Genomics and Chromatin Dynamics 1
- Metabolomics and Mass Spectrometry Studies 1
-
- Research Data Management Practices 3
- Co-authors
- Frederik Coppens (7 shared papers)Björn Grüning (5 shared papers)Daniel Blankenberg (1 shared paper)Pratik Jagtap (1 shared paper)Marius van den Beek (2 shared papers)Thomas McGowan (1 shared paper)Étienne Kornobis (1 shared paper)Anne Fouilloux (1 shared paper)
- Journals
- PLoS Pathogens (1 paper)Data Intelligence (1 paper)New Phytologist (1 paper)Proteomes (1 paper)FreiDok plus (Universitätsbibliothek Freiburg) (1 paper)
- Partner nations
- BelgiumGermanyUnited States
In The Last Decade
Ignacio Eguinoa
8 papers receiving 48 citations
Peers
Comparison fields: 5 of 34
- Information Systems and Management 8
- Health Informatics 1
- Biophysics 3
- Infectious Diseases 9
- Molecular Biology 30
Countries citing papers authored by Ignacio Eguinoa
This map shows the geographic impact of Ignacio Eguinoa'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 Ignacio Eguinoa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Eguinoa more than expected).
Fields of papers citing papers by Ignacio Eguinoa
This network shows the impact of papers produced by Ignacio Eguinoa. 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 Ignacio Eguinoa. The network helps show where Ignacio Eguinoa may publish in the future.
Co-authors
The 25 scholars most cited alongside Ignacio Eguinoa, 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 | 2020 | 17 | |
| 2 | 2021 | 12 | |
| 3 | 2020 | 10 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 2 | |
| 6 | 2020 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 1 |
About Ignacio Eguinoa
Ignacio Eguinoa is a scholar working on Molecular Biology, Information Systems, Information Systems and Management, Infectious Diseases and Computer Networks and Communications, having authored 8 papers that have together received 49 indexed citations. Recurring topics across this work include Research Data Management Practices (3 papers), Scientific Computing and Data Management (3 papers), Biomedical Text Mining and Ontologies (2 papers), Genomics and Chromatin Dynamics (1 paper), SARS-CoV-2 detection and testing (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Information Systems and Management (8 citations), Health Informatics (1 citation), Biophysics (3 citations), Infectious Diseases (9 citations) and Molecular Biology (30 citations). Ignacio Eguinoa has collaborated with scholars based in Belgium, Germany and United States. Frequent co-authors include Frederik Coppens, Björn Grüning, Daniel Blankenberg, Pratik Jagtap, Marius van den Beek, Thomas McGowan, Étienne Kornobis, Anne Fouilloux, Klaus D. Grasser and Robert J. Millikin. Their work appears in journals such as PLoS Pathogens, Data Intelligence, New Phytologist, Proteomes and FreiDok plus (Universitätsbibliothek Freiburg).
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.