Daniel Valenzuela
Impact in
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- Amyotrophic Lateral Sclerosis Research
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- Network Packet Processing and Optimization
Papers in
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- Genomics and Phylogenetic Studies 5
- DNA and Biological Computing 2
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- Algorithms and Data Compression 6
- Co-authors
- Gonzalo Navarro (2 shared papers)Veli Mäkinen (5 shared papers)Djamal Belazzougui (1 shared paper)Patricia Lillo (3 shared papers)Pedro Zitko (2 shared papers)Esa Pitkänen (1 shared paper)Niko Välimäki (1 shared paper)Simon J. Puglisi (1 shared paper)
In The Last Decade
Daniel Valenzuela
13 papers receiving 87 citations
Peers
Comparison fields: 5 of 37
- Neurology 23
- Hardware and Architecture 8
- Artificial Intelligence 38
- Genetics 8
- Health Informatics 1
Countries citing papers authored by Daniel Valenzuela
This map shows the geographic impact of Daniel Valenzuela'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 Daniel Valenzuela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Valenzuela more than expected).
Fields of papers citing papers by Daniel Valenzuela
This network shows the impact of papers produced by Daniel Valenzuela. 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 Daniel Valenzuela. The network helps show where Daniel Valenzuela may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniel Valenzuela, 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 | 2018 | 20 | |
| 2 | 2012 | 18 | |
| 3 | 2015 | 16 | |
| 4 | 2020 | 10 | |
| 5 | 2015 | 6 | |
| 6 | 2014 | 5 | |
| 7 | 2021 | 4 | |
| 8 | 2018 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2017 | 2 | |
| 11 | 2024 | 1 | |
| 12 | Algorithms and Data Structures for Sequence Analysis in the Pan-Genomic Era | 2017 | 1 |
| 13 | 2013 | 1 | |
| 14 | 2003 | 0 |
About Daniel Valenzuela
Daniel Valenzuela is a scholar working on Molecular Biology, Artificial Intelligence, Neurology, Computer Vision and Pattern Recognition and Genetics, having authored 14 papers that have together received 89 indexed citations. Recurring topics across this work include Algorithms and Data Compression (6 papers), Genomics and Phylogenetic Studies (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), DNA and Biological Computing (2 papers), Alzheimer's disease research and treatments (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Moyamoya disease diagnosis and treatment (1 paper). The work is most often cited by research in Neurology (23 citations), Hardware and Architecture (8 citations), Artificial Intelligence (38 citations), Genetics (8 citations) and Health Informatics (1 citation). Daniel Valenzuela has collaborated with scholars based in Finland, Chile and Italy. Frequent co-authors include Gonzalo Navarro, Veli Mäkinen, Djamal Belazzougui, Patricia Lillo, Pedro Zitko, Esa Pitkänen, Niko Välimäki, Simon J. Puglisi, Gabriel Cea and Luciano Inácio Mariano. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, BMC Genomics, Journal of Neurology Neurosurgery & Psychiatry, IEEE/ACM Transactions on Computational Biology and Bioinformatics and PLoS ONE.
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.