Luis Rueda
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Bioinformatics and Genomic Networks 35
- Gene expression and cancer classification 34
- Machine Learning in Bioinformatics 19
- Protein Structure and Dynamics 14
- Single-cell and spatial transcriptomics 6
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- Algorithms and Data Compression 6
- Co-authors
- Abedalrhman Alkhateeb (20 shared papers)Alioune Ngom (31 shared papers)B. John Oommen (11 shared papers)Sherif Saad (2 shared papers)Mina Maleki (11 shared papers)Waguih ElMaraghy (2 shared papers)Dora Cavallo‐Medved (8 shared papers)Mehrdad Saif (6 shared papers)
- Journals
- Pattern Recognition (7 papers)BMC Bioinformatics (4 papers)Journal of Clinical Oncology (3 papers)Bioinformatics (2 papers)Pattern Recognition Letters (2 papers)
- Partner nations
- CanadaChileUnited States
In The Last Decade
Luis Rueda
112 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 132
- Biophysics 94
- Computational Mathematics 7
- Artificial Intelligence 289
- Aging 15
- Signal Processing 90
Countries citing papers authored by Luis Rueda
This map shows the geographic impact of Luis Rueda'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 Luis Rueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Rueda more than expected).
Fields of papers citing papers by Luis Rueda
This network shows the impact of papers produced by Luis Rueda. 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 Luis Rueda. The network helps show where Luis Rueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Luis Rueda, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 84 | |
| 2 | 2021 | 58 | |
| 3 | 2019 | 55 | |
| 4 | 2005 | 50 | |
| 5 | 2018 | 46 | |
| 6 | 2006 | 38 | |
| 7 | 2011 | 36 | |
| 8 | 2008 | 36 | |
| 9 | 2020 | 33 | |
| 10 | 2006 | 33 | |
| 11 | 2020 | 29 | |
| 12 | 2005 | 27 | |
| 13 | 2021 | 27 | |
| 14 | 2019 | 26 | |
| 15 | 2016 | 25 | |
| 16 | 2023 | 23 | |
| 17 | 2022 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2011 | 18 | |
| 20 | 2018 | 17 |
About Luis Rueda
Luis Rueda is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Cancer Research, having authored 122 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (35 papers), Gene expression and cancer classification (34 papers), Machine Learning in Bioinformatics (19 papers), Computational Drug Discovery Methods (15 papers), Protein Structure and Dynamics (14 papers), Face and Expression Recognition (10 papers), Single-cell and spatial transcriptomics (6 papers) and Algorithms and Data Compression (6 papers). The work is most often cited by research in Biophysics (94 citations), Computational Mathematics (7 citations), Artificial Intelligence (289 citations), Aging (15 citations) and Signal Processing (90 citations). Luis Rueda has collaborated with scholars based in Canada, Chile and United States. Frequent co-authors include Abedalrhman Alkhateeb, Alioune Ngom, B. John Oommen, Sherif Saad, Mina Maleki, Waguih ElMaraghy, Dora Cavallo‐Medved, Mehrdad Saif, Lisa A. Porter and Haytham Elmiligi. Their work appears in journals such as Pattern Recognition, BMC Bioinformatics, Journal of Clinical Oncology, Bioinformatics and Pattern Recognition Letters.
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.