J.C. Conesa

14 total papers · 403 total citations
6 papers, 342 citations indexed

About

J.C. Conesa is a scholar working on Catalysis, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, J.C. Conesa has authored 6 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Catalysis, 5 papers in Materials Chemistry and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in J.C. Conesa's work include Catalysis and Oxidation Reactions (5 papers), Catalytic Processes in Materials Science (4 papers) and Machine Learning in Materials Science (1 paper). J.C. Conesa is often cited by papers focused on Catalysis and Oxidation Reactions (5 papers), Catalytic Processes in Materials Science (4 papers) and Machine Learning in Materials Science (1 paper). J.C. Conesa collaborates with scholars based in Spain. J.C. Conesa's co-authors include J. Soria, Marcos Fernández–García, María D. Hernández‐Alonso, A. Maira, A. Fuerte, A. Martı́nez-Arias, A. Guerrero-Ruı́z, V. Rives and G. Munuera and has published in prestigious journals such as Chemical Communications, Journal of Catalysis and Journal of Molecular Structure.

In The Last Decade

J.C. Conesa

6 papers receiving 328 citations

Author Peers

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

Author Last Decade Papers Cites
J.C. Conesa 275 211 88 34 33 6 342
Dong-Lin Shieh 286 1.0× 204 1.0× 87 1.0× 25 0.7× 57 1.7× 8 396
F. Juillet 204 0.7× 166 0.8× 48 0.5× 35 1.0× 42 1.3× 9 328
Žan Kovačič 254 0.9× 312 1.5× 60 0.7× 42 1.2× 89 2.7× 7 395
Suresh K. Konda 226 0.8× 148 0.7× 54 0.6× 28 0.8× 129 3.9× 8 346
A. Moreno 273 1.0× 229 1.1× 60 0.7× 34 1.0× 45 1.4× 7 384
Yoshiharu Hatakeyama 274 1.0× 89 0.4× 61 0.7× 15 0.4× 56 1.7× 8 350
Yanfei Du 231 0.8× 206 1.0× 67 0.8× 19 0.6× 97 2.9× 7 365
Chizu Murata 274 1.0× 194 0.9× 115 1.3× 25 0.7× 23 0.7× 9 344
Xiangxuan Deng 238 0.9× 215 1.0× 103 1.2× 19 0.6× 90 2.7× 6 348
Jie Li 294 1.1× 161 0.8× 39 0.4× 77 2.3× 104 3.2× 8 352

Countries citing papers authored by J.C. Conesa

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Conesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.C. Conesa. 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 J.C. Conesa. The network helps show where J.C. Conesa may publish in the future.

Co-authorship network of co-authors of J.C. Conesa

This figure shows the co-authorship network connecting the top 25 collaborators of J.C. Conesa. A scholar is included among the top collaborators of J.C. Conesa 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 J.C. Conesa. J.C. Conesa 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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