Natalio Krasnogor
- Computational Theory and Mathematics top 0.5%
- Artificial Intelligence top 0.5%
- Evolutionary Algorithms and Applications 47
- Metaheuristic Optimization Algorithms Research 41
- Molecular Biology top 5%
- Protein Structure and Dynamics 22
- Gene Regulatory Network Analysis 21
- DNA and Biological Computing 17
- Bioinformatics and Genomic Networks 16
- Advanced biosensing and bioanalysis techniques 14
- Machine Learning in Bioinformatics 13
- Plant Science top 5%
- Co-authors
- James E. SmithDavid A. PeltaJaume BacarditEnrico GlaabJonathan M. GaribaldiAlfonso ValenciaAnaı̈s BaudotEdmund Burke
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Chemical Society Reviews (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Natalio Krasnogor
161 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Computational Theory and Mathematics 970
- Artificial Intelligence 1.8k
- Molecular Biology 2.0k
- Industrial and Manufacturing Engineering 249
- Plant Science 498
Countries citing papers authored by Natalio Krasnogor
This map shows the geographic impact of Natalio Krasnogor'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 Natalio Krasnogor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalio Krasnogor more than expected).
Fields of papers citing papers by Natalio Krasnogor
This network shows the impact of papers produced by Natalio Krasnogor. 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 Natalio Krasnogor. The network helps show where Natalio Krasnogor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natalio Krasnogor, 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 | 2023 | 1 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 10 | |
| 4 | 2021 | 9 | |
| 5 | 2020 | 26 | |
| 6 | 2019 | 4 | |
| 7 | 2019 | 18 | |
| 8 | 2019 | 59 | |
| 9 | 2014 | 11 | |
| 10 | 2014 | 6 | |
| 11 | Effective calibration of artificial gene regulatory networks. | 2011 | 1 |
| 12 | DomAns - pattern based method for protein domain boundaries prediction and analysis | 2011 | 2 |
| 13 | Proceedings of the 13th annual conference on Genetic and evolutionary computation | 2011 | 6 |
| 14 | Learning pathway-based decision rules to classify microarray cancer samples | 2010 | 5 |
| 15 | Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) (Studies in Computational Intelligence) (Studies in Computational Intelligence) XXXX | 2008 | 10 |
| 16 | 3D-Judge : a metaserver approach to protein structure prediction | 2007 | 2 |
| 17 | An Appealing Computational Mechanism Drawn from Bacterial Quorum Sensing. | 2005 | 13 |
| 18 | Alignment of protein structures with a memetic evolutionary algorithm | 2002 | 23 |
| 19 | A Memetic Algorithm with self-adaptive local search: TSP as a case study | 2000 | 105 |
| 20 | Protein structure prediction with evolutionary algorithms | 1999 | 74 |
About Natalio Krasnogor
Natalio Krasnogor is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, having authored 163 papers that have together received 4.8k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (47 papers), Metaheuristic Optimization Algorithms Research (41 papers), Protein Structure and Dynamics (22 papers), Gene Regulatory Network Analysis (21 papers), DNA and Biological Computing (17 papers), Bioinformatics and Genomic Networks (16 papers), Advanced biosensing and bioanalysis techniques (14 papers) and Machine Learning in Bioinformatics (13 papers). The work is most often cited by research in Computational Theory and Mathematics (970 citations), Artificial Intelligence (1.8k citations) and Molecular Biology (2.0k citations). Natalio Krasnogor has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include James E. Smith, David A. Pelta, Jaume Bacardit, Enrico Glaab, Jonathan M. Garibaldi, Alfonso Valencia, Anaı̈s Baudot, Edmund Burke, Manuel Lozano and Daniel Molina. Their work appears in journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and Nucleic Acids Research.
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.