Davide Proserpio

15 total papers · 486 total citations
10 papers, 339 citations indexed

About

Davide Proserpio is a scholar working on Computational Mechanics, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Davide Proserpio has authored 10 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 3 papers in Artificial Intelligence and 3 papers in Mechanical Engineering. Recurrent topics in Davide Proserpio's work include Advanced Numerical Analysis Techniques (4 papers), Cryptography and Data Security (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Davide Proserpio is often cited by papers focused on Advanced Numerical Analysis Techniques (4 papers), Cryptography and Data Security (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Davide Proserpio collaborates with scholars based in United States, Norway and Germany. Davide Proserpio's co-authors include Frank McSherry, Sharon Goldberg, Josef Kiendl, Ming‐Chen Hsu, Marreddy Ambati, Emily L. Johnson, Michael Wu, Austin J. Herrema, Laura De Lorenzis and Natali Ruchansky and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, ACM SIGCOMM Computer Communication Review and Proceedings of the VLDB Endowment.

In The Last Decade

Davide Proserpio

10 papers receiving 330 citations

Author Peers

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

Author						Papers	Cites
Davide Proserpio	148	128	115	58	55	10	339
Eric Perkins	109 0.7×	34 0.3×	102 0.9×	5 0.1×	48 0.9×	10	327
Chin-Ming Hsu	28 0.2×	19 0.1×	30 0.3×	8 0.1×	36 0.7×	16	319
David B. Adams	10 0.1×	22 0.2×	241 2.1×	36 0.6×	52 0.9×	15	369
Yunzhe Tao	47 0.3×	123 1.0×	106 0.9×	3 0.1×	8 0.1×	14	297
Robert Gerstenberger	12 0.1×	112 0.9×	56 0.5×	6 0.1×	150 2.7×	13	369
Wei‐Ling Chiang	19 0.1×	23 0.2×	131 1.1×	8 0.1×	48 0.9×	10	392
Jerome A. Feldman	192 1.3×	153 1.2×	47 0.4×	2 0.0×	3 0.1×	6	380
Yang Guo	11 0.1×	112 0.9×	11 0.1×	29 0.5×	36 0.7×	14	293
Adrian Harwood	87 0.6×	90 0.7×	6 0.1×	1 0.0×	8 0.1×	18	331
Louis Feng	89 0.6×	72 0.6×		21 0.4×	8 0.1×	14	338

Countries citing papers authored by Davide Proserpio

Since Specialization

Citations

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

Fields of papers citing papers by Davide Proserpio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Proserpio

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