Roberto Alfieri

1.1k citations
29 papers · 365 · h-index 9

Impact in

Papers in

Roberto Alfieri

26 papers receiving 341 citations

Peers

Roberto Alfieri
Comparison fields: 5 of 91
  • Information Systems and Management 58
  • Statistical and Nonlinear Physics 95
  • Computer Networks and Communications 171
  • Hardware and Architecture 30
  • Modeling and Simulation 19
Replace Jae-Seung Yeom with:
Jae-Seung Yeom United States
Chun Huang China
Ji Liu United States
Marcel Hlawatsch Germany
Nicholas C. Valler United States
Suoyi Tan China
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Roberto Alfieri relative to Jae-Seung Yeom United States Jae-Seung Yeom's profile →
Citations per field
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Citations per year

Countries citing papers authored by Roberto Alfieri

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Alfieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roberto Alfieri, 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 Roberto Alfieri Line = papers co-authored together Roberto Alfieri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005153
2 202050
3 202039
4 198423
5 202215
6 202113
7 202113
8 202310
9 200010
10 20177
11 20145
12 20224
13 20183
14 20223
15 20232
16 20232
17 20232
18 20122
19
On very short wavelength electroretinography. An original technique of diagnosis in infraclinical synthetic antimalarial retinopathies.
19692
20 20241

About Roberto Alfieri

Roberto Alfieri is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Ophthalmology, Experimental and Cognitive Psychology and Information Systems and Management, having authored 29 papers that have together received 365 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (10 papers), Mental Health Research Topics (5 papers), Advanced Data Storage Technologies (5 papers), Distributed and Parallel Computing Systems (5 papers), Scientific Computing and Data Management (4 papers), COVID-19 epidemiological studies (3 papers) and Ocular and Laser Science Research (3 papers). The work is most often cited by research in Information Systems and Management (58 citations), Statistical and Nonlinear Physics (95 citations), Computer Networks and Communications (171 citations), Hardware and Architecture (30 citations) and Modeling and Simulation (19 citations). Roberto Alfieri has collaborated with scholars based in Italy, Vietnam and France. Frequent co-authors include Michele Bellingeri, Davide Cassi, Francesco Scotognella, Vincenzo Ciaschini, R. Cecchini, L dell’Agnello, Ákos Frohner, F. Spataro, Danièle Bevacqua and Quang Nguyen. Their work appears in journals such as Journal of Grid Computing, Scientific Reports, Vision Research, Complexity and Future Generation Computer Systems.

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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