Remo Pareschi

136 total papers · 1.5k total citations
61 papers, 737 citations indexed

About

Remo Pareschi is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Remo Pareschi has authored 61 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 24 papers in Information Systems and 16 papers in Computer Networks and Communications. Recurrent topics in Remo Pareschi's work include Blockchain Technology Applications and Security (16 papers), Logic, Reasoning, and Knowledge (15 papers) and Logic, programming, and type systems (12 papers). Remo Pareschi is often cited by papers focused on Blockchain Technology Applications and Security (16 papers), Logic, Reasoning, and Knowledge (15 papers) and Logic, programming, and type systems (12 papers). Remo Pareschi collaborates with scholars based in Italy, France and United States. Remo Pareschi's co-authors include Jean‐Marc Andreoli, Uwe M. Borghoff, Mark Steedman, Natalie Glance, Paolo Bottoni, François Pacull, Steve Freeman, Jean-Luc Meunier, Antonietta Grasso and Dale Miller and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Applied Sciences.

In The Last Decade

Remo Pareschi

54 papers receiving 641 citations

Author Peers

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

Author						Papers	Cites
Remo Pareschi	380	234	182	166	143	61	737
Ronald M. Lee	415 1.1×	209 0.9×	139 0.8×	232 1.4×	47 0.3×	49	809
Derek L. Nazareth	208 0.5×	294 1.3×	114 0.6×	168 1.0×	70 0.5×	60	754
Luís Soares Barbosa	374 1.0×	260 1.1×	105 0.6×	132 0.8×	127 0.9×	125	834
Han Reichgelt	245 0.6×	348 1.5×	52 0.3×	94 0.6×	55 0.4×	96	826
Stefan Hallerstede	282 0.7×	146 0.6×	120 0.7×	59 0.4×	272 1.9×	32	633
Chunnian Liu	322 0.8×	233 1.0×	102 0.6×	72 0.4×	140 1.0×	90	708
Walter Van de Velde	497 1.3×	202 0.9×	98 0.5×	115 0.7×	27 0.2×	41	742
Charles Petrie	287 0.8×	270 1.2×	235 1.3×	184 1.1×	31 0.2×	90	786
David E. Monarchi	255 0.7×	333 1.4×	81 0.4×	162 1.0×	34 0.2×	25	728
Irene Greif	181 0.5×	217 0.9×	283 1.6×	92 0.6×	46 0.3×	30	771

Countries citing papers authored by Remo Pareschi

Since Specialization

Citations

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

Fields of papers citing papers by Remo Pareschi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Remo Pareschi

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