Michele Papalini

25 total papers · 415 total citations
18 papers, 285 citations indexed

About

Michele Papalini is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Michele Papalini has authored 18 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Michele Papalini's work include Caching and Content Delivery (14 papers), Opportunistic and Delay-Tolerant Networks (11 papers) and Peer-to-Peer Network Technologies (10 papers). Michele Papalini is often cited by papers focused on Caching and Content Delivery (14 papers), Opportunistic and Delay-Tolerant Networks (11 papers) and Peer-to-Peer Network Technologies (10 papers). Michele Papalini collaborates with scholars based in Switzerland, United States and United Kingdom. Michele Papalini's co-authors include Giovanna Carofiglio, Luca Muscariello, Antonio Carzaniga, Alexander L. Wolf, Massimo Gallo, Sen Wang, Jordan Augé, Alberto Compagno, Dario Rossi and Giulio Grassi and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, IEEE Transactions on Multimedia and IEEE Transactions on Network and Service Management.

In The Last Decade

Michele Papalini

18 papers receiving 274 citations

Author Peers

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

Author Last Decade Papers Cites
Michele Papalini 269 37 36 20 14 18 285
Myeong-Wuk Jang 233 0.9× 12 0.3× 19 0.5× 15 0.8× 38 2.7× 23 263
Alberto Compagno 138 0.5× 20 0.5× 30 0.8× 27 1.4× 35 2.5× 16 196
Chien-Yi Wang 133 0.5× 25 0.7× 37 1.0× 99 5.0× 13 0.9× 28 223
Ali Dabirmoghaddam 308 1.1× 28 0.8× 11 0.3× 109 5.5× 13 0.9× 15 325
Aytac Azgin 288 1.1× 11 0.3× 15 0.4× 79 4.0× 23 1.6× 33 304
Chengyu Fan 201 0.7× 31 0.8× 7 0.2× 8 0.4× 33 2.4× 20 235
Haining Wang 224 0.8× 38 1.0× 20 0.6× 50 2.5× 70 5.0× 11 239
Spiros Spirou 219 0.8× 10 0.3× 6 0.2× 59 3.0× 15 1.1× 18 253
Martin Dräxler 251 0.9× 10 0.3× 35 1.0× 108 5.4× 12 0.9× 15 278
Pirabakaran Navaratnam 301 1.1× 5 0.1× 19 0.5× 109 5.5× 13 0.9× 23 317

Countries citing papers authored by Michele Papalini

Since Specialization
Citations

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

Fields of papers citing papers by Michele Papalini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Papalini

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