Massimo Valla

796 citations
33 papers · 451 · h-index 12

Impact in

Papers in

Massimo Valla

32 papers receiving 412 citations

Peers

Massimo Valla
Comparison fields: 5 of 63
  • Computer Networks and Communications 304
  • Computer Vision and Pattern Recognition 117
  • Human-Computer Interaction 19
  • Signal Processing 34
  • Electrical and Electronic Engineering 172
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Do van Thanh Norway
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Panagiotis Kokkinos Greece
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Citations per year

Countries citing papers authored by Massimo Valla

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Valla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Valla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Valla Line = papers co-authored together Massimo Valla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200354
2 201446
3 200344
4 200342
5 200332
6 201029
7 200826
8 200821
9 200719
10 201513
11 201712
12 200912
13
Opportunistic estimation of television audience through smartphones
201211
14 201511
15
Enhancing Children’s Experience with Recommendation Systems
201710
16 20159
17 20128
18 20118
19 20147
20 20176

About Massimo Valla

Massimo Valla is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Information Systems and Management, having authored 33 papers that have together received 451 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (13 papers), Opportunistic and Delay-Tolerant Networks (7 papers), IoT and Edge/Fog Computing (5 papers), Network Traffic and Congestion Control (4 papers), Speech and Audio Processing (4 papers), Service-Oriented Architecture and Web Services (4 papers), Human Mobility and Location-Based Analysis (4 papers) and Wireless Networks and Protocols (4 papers). The work is most often cited by research in Computer Networks and Communications (304 citations), Computer Vision and Pattern Recognition (117 citations), Human-Computer Interaction (19 citations), Signal Processing (34 citations) and Electrical and Electronic Engineering (172 citations). Massimo Valla has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include M.Y. Sanadidi, Mário Gerla, Ren Wang, Cristina Frà, Igor Bisio, Ekram Hossain, Chris Gniady, Jinsong Wu, Haibo Li and Fabio Lavagetto. Their work appears in journals such as IEEE Communications Magazine, Computer Communications, Service Oriented Computing and Applications, Journal of Web Semantics and BOA (University of Milano-Bicocca).

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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