Natalio Krasnogor

8.0k citations
163 papers · 4.8k indexed · 1 hit paper · h-index 39
Topics
Evolutionary Algorithms and Applications (47 papers)Metaheuristic Optimization Algorithms Research (41 papers)Protein Structure and Dynamics (22 papers)

In The Last Decade

Natalio Krasnogor

161 papers receiving 4.7k citations

Hit Papers

A Tutorial for Competent Memetic Algorithms: Model, Taxon...20052026201220192005100200300400500

Peers

Natalio Krasnogor
Comparison fields: 5 of 186
  • Molecular Biology 2.0k
  • Artificial Intelligence 1.8k
  • Computational Theory and Mathematics 970
  • Plant Science 498
  • Biomedical Engineering 339
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Citations per field
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Citations per year

Countries citing papers authored by Natalio Krasnogor

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Natalio Krasnogor

This figure shows the co-authorship network connecting the top 25 collaborators of Natalio Krasnogor. A scholar is included among the top collaborators of Natalio Krasnogor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natalio Krasnogor. Natalio Krasnogor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 10
4 9
5 26
6 4
7 18
8 59
9 11
10 6
11
Effective calibration of artificial gene regulatory networks.
1
12
DomAns - pattern based method for protein domain boundaries prediction and analysis
2
13
Proceedings of the 13th annual conference on Genetic and evolutionary computation
6
14
Learning pathway-based decision rules to classify microarray cancer samples
5
15
Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) (Studies in Computational Intelligence) (Studies in Computational Intelligence) XXXX
10
16
3D-Judge : a metaserver approach to protein structure prediction
2
17
An Appealing Computational Mechanism Drawn from Bacterial Quorum Sensing.
13
18
Alignment of protein structures with a memetic evolutionary algorithm
23
19
A Memetic Algorithm with self-adaptive local search: TSP as a case study
105
20
Protein structure prediction with evolutionary algorithms
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) and Protein Structure and Dynamics (22 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.

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