Ana Dapena‐Mora

10 total papers · 1.3k total citations
8 papers, 1.0k citations indexed

About

Ana Dapena‐Mora is a scholar working on Pollution, Industrial and Manufacturing Engineering and Environmental Engineering. According to data from OpenAlex, Ana Dapena‐Mora has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pollution, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Environmental Engineering. Recurrent topics in Ana Dapena‐Mora's work include Wastewater Treatment and Nitrogen Removal (7 papers), Constructed Wetlands for Wastewater Treatment (4 papers) and Microbial Fuel Cells and Bioremediation (3 papers). Ana Dapena‐Mora is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (7 papers), Constructed Wetlands for Wastewater Treatment (4 papers) and Microbial Fuel Cells and Bioremediation (3 papers). Ana Dapena‐Mora collaborates with scholars based in Spain, Netherlands and Belgium. Ana Dapena‐Mora's co-authors include R. Méndez, Anuska Mosquera‐Corral, Mike S. M. Jetten, José Luis Campos, I. González Fernández, J. L. Campos, Stijn Van Hulle, Peter A. Vanrolleghem, José Ramón Vázquez-Padín and B. Arrojo and has published in prestigious journals such as Enzyme and Microbial Technology, Journal of Biotechnology and Water Science & Technology.

In The Last Decade

Ana Dapena‐Mora

6 papers receiving 986 citations

Author Peers

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

Author Last Decade Papers Cites
Ana Dapena‐Mora 1.0k 436 340 318 273 8 1.0k
J. Kruit 844 0.8× 300 0.7× 277 0.8× 270 0.8× 262 1.0× 9 900
Yeshi Cao 1.1k 1.1× 340 0.8× 299 0.9× 383 1.2× 369 1.4× 10 1.1k
J. Eugster 827 0.8× 273 0.6× 277 0.8× 305 1.0× 320 1.2× 9 942
Orlane Robin 815 0.8× 258 0.6× 195 0.6× 305 1.0× 263 1.0× 6 884
Ximao Lin 736 0.7× 264 0.6× 250 0.7× 244 0.8× 196 0.7× 13 846
Shenhua Yang 796 0.8× 233 0.5× 206 0.6× 261 0.8× 237 0.9× 17 838
Caihua Wang 992 1.0× 374 0.9× 380 1.1× 326 1.0× 226 0.8× 24 1.2k
Konrad Egli 808 0.8× 307 0.7× 165 0.5× 302 0.9× 224 0.8× 15 998
Alex Rosenthal 851 0.9× 268 0.6× 153 0.5× 317 1.0× 303 1.1× 23 971
Ji Zhao 1.0k 1.0× 363 0.8× 214 0.6× 186 0.6× 427 1.6× 29 1.1k

Countries citing papers authored by Ana Dapena‐Mora

Since Specialization
Citations

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

Fields of papers citing papers by Ana Dapena‐Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana Dapena‐Mora. 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 Ana Dapena‐Mora. The network helps show where Ana Dapena‐Mora may publish in the future.

Co-authorship network of co-authors of Ana Dapena‐Mora

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Dapena‐Mora. A scholar is included among the top collaborators of Ana Dapena‐Mora 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 Ana Dapena‐Mora. Ana Dapena‐Mora 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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