Iván Dotú

1.7k citations
46 papers · 1.2k · h-index 19

Impact in

    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • RNA Research and Splicing
    • RNA modifications and cancer
  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

Iván Dotú

43 papers receiving 1.2k citations

Peers

Iván Dotú
Comparison fields: 5 of 75
  • Molecular Biology 863
  • Aging 19
  • Cell Biology 55
  • Computer Networks and Communications 69
  • Artificial Intelligence 86
Replace Daniel Lobo with:
Daniel Lobo United States
Jeong‐Rae Kim South Korea
Nick D. L. Owens United Kingdom
Eduardo da Veiga Beltrame United States
Alexander J. Ropelewski United States
Alexander V. Spirov Russia
Nikola S. Müller Germany
Benjamin W. Pruitt United States
Woochang Hwang United States
Cankun Wang United States
Iván Dotú relative to Daniel Lobo United States Daniel Lobo's profile →
Citations per field
00.5×2×4×6×7.7×
Daniel Lobo · 1×
Citations per year

Countries citing papers authored by Iván Dotú

Since Specialization
Citations

This map shows the geographic impact of Iván Dotú'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 Iván Dotú with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Dotú more than expected).

Fields of papers citing papers by Iván Dotú

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iván Dotú. 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 Iván Dotú. The network helps show where Iván Dotú may publish in the future.

Co-authors

The 25 scholars most cited alongside Iván Dotú, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iván Dotú Line = papers co-authored together Iván Dotú links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014353
2 2016176
3 201280
4 201273
5 201146
6 200931
7 200729
8
Protein structure prediction on the face centered cubic lattice by local search
200827
9 201527
10 201827
11 200523
12
Modeling choices in quasigroup completion: SAT vs. CSP
200421
13 200521
14 201321
15 202121
16 201520
17 200619
18 201319
19 201519
20 202217

About Iván Dotú

Iván Dotú is a scholar working on Molecular Biology, Computer Networks and Communications, Management Science and Operations Research, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (23 papers), Constraint Satisfaction and Optimization (7 papers), Metaheuristic Optimization Algorithms Research (5 papers), Scheduling and Timetabling Solutions (4 papers), RNA Research and Splicing (3 papers), Protein Structure and Dynamics (3 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Multi-Objective Optimization Algorithms (1 paper). The work is most often cited by research in Molecular Biology (863 citations), Aging (19 citations), Cell Biology (55 citations), Computer Networks and Communications (69 citations) and Artificial Intelligence (86 citations). Iván Dotú has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Peter Clote, Jeffrey Chuang, Pascal Van Hentenryck, Ryuta Ishimura, Susan L. Ackerman, Juan Antonio García-Martín, Satoru Senju, Yasuharu Nishimura, Huihao Zhou and Xiang‐Lei Yang. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Journal of Mathematical Biology, eLife and PLoS Computational Biology.

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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