Marco Vanneschi

155 total papers · 1.8k total citations
83 papers, 801 citations indexed

About

Marco Vanneschi is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Marco Vanneschi has authored 83 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Networks and Communications, 41 papers in Hardware and Architecture and 18 papers in Information Systems. Recurrent topics in Marco Vanneschi's work include Distributed and Parallel Computing Systems (49 papers), Parallel Computing and Optimization Techniques (38 papers) and Interconnection Networks and Systems (20 papers). Marco Vanneschi is often cited by papers focused on Distributed and Parallel Computing Systems (49 papers), Parallel Computing and Optimization Techniques (38 papers) and Interconnection Networks and Systems (20 papers). Marco Vanneschi collaborates with scholars based in Italy, United Kingdom and United States. Marco Vanneschi's co-authors include Fabrizio Petrini, Marco Danelutto, Gabriele Mencagli, Susanna Pelagatti, Salvatore Orlando, Carlo Bertolli, Massimo Coppola, Marco Aldinucci, Fabrizio Baiardi and Domenico Laforenza and has published in prestigious journals such as Frontiers in Microbiology, Future Generation Computer Systems and ACM SIGPLAN Notices.

In The Last Decade

Marco Vanneschi

75 papers receiving 742 citations

Author Peers

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

Author						Papers	Cites
Marco Vanneschi	685	428	224	120	76	83	801
Timo Schneider	566 0.8×	454 1.1×	182 0.8×	59 0.5×	89 1.2×	39	732
Hyunok Oh	473 0.7×	475 1.1×	137 0.6×	95 0.8×	114 1.5×	75	795
D.K. Panda	823 1.2×	542 1.3×	134 0.6×	55 0.5×	185 2.4×	49	897
Jerónimo Castrillón	472 0.7×	568 1.3×	97 0.4×	82 0.7×	259 3.4×	103	865
Nikhil Jain	609 0.9×	446 1.0×	247 1.1×	53 0.4×	144 1.9×	56	779
Dezun Dong	657 1.0×	183 0.4×	158 0.7×	156 1.3×	299 3.9×	118	873
Maciej Besta	473 0.7×	266 0.6×	224 1.0×	291 2.4×	123 1.6×	42	878
Denis Trystram	708 1.0×	357 0.8×	257 1.1×	75 0.6×	53 0.7×	113	965
Julio Sahuquillo	762 1.1×	582 1.4×	294 1.3×	53 0.4×	257 3.4×	145	998
I‐Hsin Chung	484 0.7×	368 0.9×	167 0.7×	118 1.0×	65 0.9×	70	713

Countries citing papers authored by Marco Vanneschi

Since Specialization

Citations

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

Fields of papers citing papers by Marco Vanneschi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Vanneschi

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