A. C. Di Pinto

34 total papers · 632 total citations
24 papers, 492 citations indexed

About

A. C. Di Pinto is a scholar working on Pollution, Water Science and Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, A. C. Di Pinto has authored 24 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pollution, 8 papers in Water Science and Technology and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in A. C. Di Pinto's work include Wastewater Treatment and Nitrogen Removal (8 papers), Advanced oxidation water treatment (5 papers) and Anaerobic Digestion and Biogas Production (3 papers). A. C. Di Pinto is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (8 papers), Advanced oxidation water treatment (5 papers) and Anaerobic Digestion and Biogas Production (3 papers). A. C. Di Pinto collaborates with scholars based in Italy, Spain and United States. A. C. Di Pinto's co-authors include R. Ramadori, A. López, Alfieri Pollice, M. Concetta Tomei, R. Passino, G. Máscolo, Giuseppe Laera, D. Cassano, Claudio Di Iaconi and M. Beccari and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and Water Research.

In The Last Decade

A. C. Di Pinto

23 papers receiving 454 citations

Author Peers

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

Author Last Decade Papers Cites
A. C. Di Pinto 244 234 145 79 76 24 492
Zi Song 350 1.4× 213 0.9× 129 0.9× 125 1.6× 96 1.3× 23 543
Xiaobiao Zhu 214 0.9× 189 0.8× 102 0.7× 109 1.4× 81 1.1× 20 476
Junfeng Lian 230 0.9× 209 0.9× 100 0.7× 122 1.5× 79 1.0× 28 479
Shuman Deng 164 0.7× 228 1.0× 94 0.6× 99 1.3× 86 1.1× 31 472
Zhaowen Cheng 186 0.8× 130 0.6× 233 1.6× 120 1.5× 95 1.3× 23 531
Gökhan Ekrem Üstün 170 0.7× 277 1.2× 236 1.6× 43 0.5× 68 0.9× 28 533
Enrique J. La Motta 212 0.9× 273 1.2× 143 1.0× 54 0.7× 77 1.0× 32 511
Mario Plattes 149 0.6× 244 1.0× 110 0.8× 56 0.7× 82 1.1× 21 536
Weihai Pang 215 0.9× 131 0.6× 71 0.5× 99 1.3× 57 0.8× 29 441
Daying Chen 235 1.0× 118 0.5× 85 0.6× 55 0.7× 68 0.9× 25 434

Countries citing papers authored by A. C. Di Pinto

Since Specialization
Citations

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

Fields of papers citing papers by A. C. Di Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. C. Di Pinto. 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 A. C. Di Pinto. The network helps show where A. C. Di Pinto may publish in the future.

Co-authorship network of co-authors of A. C. Di Pinto

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