David Lorenzo

67 total papers · 1.0k total citations
45 papers, 828 citations indexed

About

David Lorenzo is a scholar working on Biomedical Engineering, Water Science and Technology and Pollution. According to data from OpenAlex, David Lorenzo has authored 45 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 19 papers in Water Science and Technology and 11 papers in Pollution. Recurrent topics in David Lorenzo's work include Environmental remediation with nanomaterials (23 papers), Advanced oxidation water treatment (18 papers) and Groundwater flow and contamination studies (10 papers). David Lorenzo is often cited by papers focused on Environmental remediation with nanomaterials (23 papers), Advanced oxidation water treatment (18 papers) and Groundwater flow and contamination studies (10 papers). David Lorenzo collaborates with scholars based in Spain, Argentina and Italy. David Lorenzo's co-authors include Aurora Santos, Arturo Romero, Carmen M. Domínguez, Sergio Rodríguez, M.A. Lominchar, José Ramón Fernández, Ernesto Simón, Leandro Conte, Salvador Cotillas and Tomás Cordero and has published in prestigious journals such as The Science of The Total Environment, Applied Catalysis B: Environmental and Chemical Engineering Journal.

In The Last Decade

David Lorenzo

44 papers receiving 819 citations

Author Peers

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

Author Last Decade Papers Cites
David Lorenzo 462 404 197 151 149 45 828
Fubo Luan 224 0.5× 261 0.6× 181 0.9× 233 1.5× 169 1.1× 39 1.0k
Chanat Chokejaroenrat 383 0.8× 264 0.7× 209 1.1× 92 0.6× 90 0.6× 54 883
Md. Salatul Islam Mozumder 328 0.7× 281 0.7× 247 1.3× 169 1.1× 106 0.7× 39 991
Varadarajan Ravindran 539 1.2× 290 0.7× 236 1.2× 81 0.5× 182 1.2× 26 863
Arindam Sinharoy 225 0.5× 217 0.5× 229 1.2× 139 0.9× 150 1.0× 40 995
Chuanyu Qin 373 0.8× 349 0.9× 141 0.7× 92 0.6× 94 0.6× 54 1.0k
Chainarong Sakulthaew 384 0.8× 265 0.7× 198 1.0× 91 0.6× 83 0.6× 51 873
Ahmet Karagündüz 534 1.2× 332 0.8× 120 0.6× 93 0.6× 81 0.5× 59 1.0k
Efthimia Kaprara 496 1.1× 257 0.6× 219 1.1× 115 0.8× 309 2.1× 37 1.0k
R. Naresh Kumar 397 0.9× 254 0.6× 225 1.1× 173 1.1× 183 1.2× 44 920

Countries citing papers authored by David Lorenzo

Since Specialization
Citations

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

Fields of papers citing papers by David Lorenzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lorenzo

This figure shows the co-authorship network connecting the top 25 collaborators of David Lorenzo. A scholar is included among the top collaborators of David Lorenzo 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 David Lorenzo. David Lorenzo 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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