Rodrigo Santamaría

50 total papers · 753 total citations
25 papers, 426 citations indexed

About

Rodrigo Santamaría is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Epidemiology. According to data from OpenAlex, Rodrigo Santamaría has authored 25 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Epidemiology. Recurrent topics in Rodrigo Santamaría's work include Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (7 papers) and Data Visualization and Analytics (5 papers). Rodrigo Santamaría is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (7 papers) and Data Visualization and Analytics (5 papers). Rodrigo Santamaría collaborates with scholars based in Spain, Portugal and United Kingdom. Rodrigo Santamaría's co-authors include Roberto Therón, Luis Quintales, Javier De Las Rivas, Carlos Alberto Vanegas Prieto, Miguel A. Gutiérrez, Diego Alonso‐López, Kátia de Paiva Lopes, Manuel A. S. Santos, Philippe Pierre and Misha Kapushesky and has published in prestigious journals such as Nucleic Acids Research, The Journal of Cell Biology and Bioinformatics.

In The Last Decade

Rodrigo Santamaría

25 papers receiving 414 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rodrigo Santamaría	239	62	58	37	33	25	426
Jason Xu	177 0.7×	28 0.5×	33 0.6×	24 0.6×	62 1.9×	39	432
Laura Antonelli	237 1.0×	43 0.7×	32 0.6×	37 1.0×	22 0.7×	34	481
Evangelos Karatzas	294 1.2×	11 0.2×	28 0.5×	22 0.6×	30 0.9×	29	470
Bhusan K. Kuntal	309 1.3×	20 0.3×	9 0.2×	37 1.0×	14 0.4×	19	457
Athanasios Theocharidis	256 1.1×	23 0.4×	15 0.3×	10 0.3×	45 1.4×	9	425
Jonathan H. Huggins	175 0.7×	43 0.7×	10 0.2×	16 0.4×	52 1.6×	28	385
Tareq B. Malas	176 0.7×	50 0.8×	23 0.4×	69 1.9×	46 1.4×	18	483
Christopher Churas	264 1.1×	16 0.3×	15 0.3×	13 0.4×	21 0.6×	13	445
Kaiyu Wang	201 0.8×	11 0.2×	30 0.5×	12 0.3×	27 0.8×	30	468
Zhenyu Liu	113 0.5×	45 0.7×	17 0.3×	151 4.1×	107 3.2×	31	488

Countries citing papers authored by Rodrigo Santamaría

Since Specialization

Citations

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

Fields of papers citing papers by Rodrigo Santamaría

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rodrigo Santamaría

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Santamaría. A scholar is included among the top collaborators of Rodrigo Santamaría 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 Rodrigo Santamaría. Rodrigo Santamaría is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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