Carlos Roca

748 citations
16 papers · 537 · h-index 12

Impact in

Papers in

Carlos Roca

16 papers receiving 528 citations

Peers

Carlos Roca
Comparison fields: 5 of 85
  • Computational Theory and Mathematics 253
  • Pharmacology 226
  • Health Informatics 7
  • Organic Chemistry 147
  • Toxicology 14
Replace Senthil Raja Ayyannan with:
Senthil Raja Ayyannan India
Donatella Bagetta Italy
Tingkai Chen China
Digambar Kumar Waiker India
Pedro de Sena Murteira Pinheiro Brazil
Ashish Ranjan Dwivedi India
Gopichand Gutti India
Nicola Gambacorta Italy
Lukáš Górecki Czechia
Carlos Roca relative to Senthil Raja Ayyannan India Senthil Raja Ayyannan's profile →
Citations per field
00.5×1.5×2.5×
Senthil Raja Ayyannan · 1×
Citations per year

Countries citing papers authored by Carlos Roca

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Roca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Carlos Roca, 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 Carlos Roca Line = papers co-authored together Carlos Roca links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201887
2 201759
3 201954
4 201751
5 201744
6 201843
7 202138
8 201837
9 202031
10 201726
11 201818
12 201917
13 202211
14 201911
15 20189
16 20251

About Carlos Roca

Carlos Roca is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Organic Chemistry and Materials Chemistry, having authored 16 papers that have together received 537 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Machine Learning in Materials Science (3 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Machine Learning in Bioinformatics (1 paper), Alzheimer's disease research and treatments (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Computational Theory and Mathematics (253 citations), Pharmacology (226 citations), Health Informatics (7 citations), Organic Chemistry (147 citations) and Toxicology (14 citations). Carlos Roca has collaborated with scholars based in Spain, Argentina and Brazil. Frequent co-authors include Nuria E. Campillo, Ana Martı́nez, Concepción Pérez, Víctor Sebastián-Pérez, Juan A. Páez, Ignacio Ponzoni, María Jimena Martínez, Fiorella Cravero, Mónica F. Díaz and Carmen Gil. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Scientific Reports, Journal of Chemical Information and Modeling and Molecular Diversity.

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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