Felix Agakov
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Nephrology top 5%
Papers in
-
- Parallel Computing and Optimization Techniques 3
-
- Blind Source Separation Techniques 4
- Co-authors
- Edwin V. BonillaGrigori FursinIgor RudanDavid BarberChristopher K. I. WilliamsPaul McKeigueMichael O’BoyleEvropi Τheodoratou
- Journals
- Scientific Reports (3 papers)Lara D. Veeken (2 papers)Diabetologia (2 papers)PLoS ONE (2 papers)Genetic Epidemiology (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Felix Agakov
44 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 167
- Hardware and Architecture 499
- Nephrology 199
- Software 77
- Artificial Intelligence 463
- Genetics 391
Countries citing papers authored by Felix Agakov
This map shows the geographic impact of Felix Agakov'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 Felix Agakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Agakov more than expected).
Fields of papers citing papers by Felix Agakov
This network shows the impact of papers produced by Felix Agakov. 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 Felix Agakov. The network helps show where Felix Agakov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Felix Agakov, 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 | 2025 | 1 | |
| 2 | 2023 | 31 | |
| 3 | 2022 | 2 | |
| 4 | Plasma N-glycans in colorectal cancer risk | 2018 | 8 |
| 5 | 2018 | 52 | |
| 6 | 2017 | 93 | |
| 7 | 2016 | 17 | |
| 8 | 2015 | 124 | |
| 9 | 2015 | 53 | |
| 10 | Discriminative Mixtures of Sparse Latent Fields for Risk Management | 2012 | 5 |
| 11 | Inference of Causal Relationships between Biomarkers and Outcomes in High Dimensions | 2011 | 5 |
| 12 | 2011 | 74 | |
| 13 | 2011 | 353 | |
| 14 | Sparse Instrumental Variables (SPIV) for Genome-Wide Studies | 2010 | 5 |
| 15 | Kernel Multi-task Learning using Task-specific Features | 2007 | 51 |
| 16 | Code Generation and Optimization, 2007. CGO '07. International Symposium on | 2007 | 102 |
| 17 | Kernelized Infomax Clustering | 2005 | 17 |
| 18 | Extreme Components Analysis | 2003 | 14 |
| 19 | Information Maximization in Noisy Channels : A Variational Approach | 2003 | 4 |
| 20 | Products of Gaussians | 2001 | 9 |
About Felix Agakov
Felix Agakov is a scholar working on Hardware and Architecture, Signal Processing, Artificial Intelligence, Genetics and Nephrology, having authored 44 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Blind Source Separation Techniques (4 papers), Genetic Associations and Epidemiology (4 papers), Genetic and phenotypic traits in livestock (4 papers), Neural Networks and Applications (4 papers), Parallel Computing and Optimization Techniques (3 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Hardware and Architecture (499 citations), Nephrology (199 citations), Software (77 citations), Artificial Intelligence (463 citations) and Genetics (391 citations). Felix Agakov has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Edwin V. Bonilla, Grigori Fursin, Igor Rudan, David Barber, Christopher K. I. Williams, Paul McKeigue, Michael O’Boyle, Evropi Τheodoratou, Lina Zgaga and John Cavazos. Their work appears in journals such as Scientific Reports, Lara D. Veeken, Diabetologia, PLoS ONE and Genetic Epidemiology.
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.