Paolo Trunfio

3.4k citations
89 papers · 1.6k indexed · h-index 21
Topics
Scientific Computing and Data Management (29 papers)Distributed and Parallel Computing Systems (28 papers)Peer-to-Peer Network Technologies (18 papers)
Partner nations
ItalyIndiaSpain

In The Last Decade

Paolo Trunfio

86 papers receiving 1.5k citations

Peers

Paolo Trunfio
Comparison fields: 5 of 97
  • Computer Networks and Communications 953
  • Information Systems 600
  • Artificial Intelligence 342
  • Information Systems and Management 231
  • Sociology and Political Science 100
Replace Fabrizio Marozzo with:
Fabrizio Marozzo Italy
Han Zhang China
Marios D. Dikaiakos Cyprus
Manfred Hauswirth Ireland
Sai Wu China
Anwitaman Datta Singapore
Sen Su China
Hailong Sun China
Agostino Poggi Italy
Ian Gorton United States
Paolo Trunfio relative to Fabrizio Marozzo Italy Fabrizio Marozzo's profile →
Citations per field
00.5×2.9×
Fabrizio Marozzo · 1×
Citations per year

Countries citing papers authored by Paolo Trunfio

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Trunfio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Trunfio

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Trunfio. A scholar is included among the top collaborators of Paolo Trunfio 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 Paolo Trunfio. Paolo Trunfio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 6
4 13
5 1
6 2
7 19
8 0
9 4
10 1
11
Data Analysis in the Cloud: Models, Techniques and Applications
20
12 18
13 75
14 12
15
Scheduling Data Mining Applications in Mobile Computing Environments.
0
16 70
17 5
18 90
19
IEEE Internet Computing: Peer To Peer - Toward a Synergy Between P2P and Grids.
34
20 14

About Paolo Trunfio

Paolo Trunfio is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems, having authored 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (29 papers), Distributed and Parallel Computing Systems (28 papers) and Peer-to-Peer Network Technologies (18 papers). The work is most often cited by research in Computer Networks and Communications (953 citations), Information Systems and Management (231 citations) and Information Systems (600 citations). Paolo Trunfio has collaborated with scholars based in Italy, India and Spain. Frequent co-authors include Domenico Talia, Fabrizio Marozzo, Giancarlo Fortino, Loris Belcastro, Mario Cannataro, Andrea Pugliese, Carmela Comito, Matteo Mordacchini, Harris Papadakis and Paraskevi Fragopoulou. Their work appears in journals such as Communications of the ACM, IEEE Access and Computer.

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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