J. Valverde-Canossa

18 total papers · 711 total citations
7 papers, 305 citations indexed

About

J. Valverde-Canossa is a scholar working on Atmospheric Science, Global and Planetary Change and Plant Science. According to data from OpenAlex, J. Valverde-Canossa has authored 7 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 5 papers in Global and Planetary Change and 3 papers in Plant Science. Recurrent topics in J. Valverde-Canossa's work include Atmospheric chemistry and aerosols (6 papers), Plant responses to elevated CO2 (3 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). J. Valverde-Canossa is often cited by papers focused on Atmospheric chemistry and aerosols (6 papers), Plant responses to elevated CO2 (3 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). J. Valverde-Canossa collaborates with scholars based in Germany, United States and Austria. J. Valverde-Canossa's co-authors include E. Kyrö, Juan Valdés, Henry B. Selkirk, Larry M. Miloshevich, Werner Stolz, Rigel Kivi, J. A. Diaz, Holger Vömel, G. K. Moortgat and L. Ganzeveld and has published in prestigious journals such as Atmospheric Environment, Journal of Atmospheric and Oceanic Technology and Max Planck Institute for Plasma Physics.

In The Last Decade

J. Valverde-Canossa

7 papers receiving 299 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. Valverde-Canossa 262 190 51 44 42 7 305
J. M. Krijger 208 0.8× 284 1.5× 16 0.3× 20 0.5× 51 1.2× 11 362
Dieter Klaes 328 1.3× 288 1.5× 19 0.4× 14 0.3× 33 0.8× 8 361
Gabriele Poli 258 1.0× 241 1.3× 11 0.2× 19 0.4× 50 1.2× 8 318
C. Verwaerde 225 0.9× 234 1.2× 45 0.9× 33 0.8× 16 0.4× 15 302
Rüdiger Lang 272 1.0× 244 1.3× 14 0.3× 7 0.2× 22 0.5× 12 318
Serge Prieur 172 0.7× 183 1.0× 76 1.5× 4 0.1× 11 0.3× 13 257
J. Stähelin 282 1.1× 215 1.1× 12 0.2× 11 0.3× 3 0.1× 6 315
M. Kessel 133 0.5× 97 0.5× 57 1.1× 4 0.1× 7 0.2× 10 214
Gonzague Romanens 220 0.8× 221 1.2× 18 0.4× 15 0.3× 40 1.0× 14 291
Sandra Jacoby-Koaly 193 0.7× 187 1.0× 20 0.4× 14 0.3× 16 0.4× 10 310

Countries citing papers authored by J. Valverde-Canossa

Since Specialization
Citations

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

Fields of papers citing papers by J. Valverde-Canossa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Valverde-Canossa. 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. Valverde-Canossa. The network helps show where J. Valverde-Canossa may publish in the future.

Co-authorship network of co-authors of J. Valverde-Canossa

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