Giovanni Neglia

86 papers receiving 1.4k citations

Hit Papers

Performance modeling of epidemic routing20062026201220192006100200300400500

Peers

Giovanni Neglia
Comparison fields: 5 of 48
  • Computer Networks and Communications 1.4k
  • Electrical and Electronic Engineering 272
  • Information Systems 103
  • Artificial Intelligence 97
  • Statistical and Nonlinear Physics 73
Replace Sridhar Machiraju with:
Sridhar Machiraju United States
Myungjin Lee United States
Eitan Altman France
Mohammad Hajjat United States
Saverio Niccolini Italy
Marcelo Dias de Amorim France
Julinda Stefa Italy
R. Rom Israel
Sridhar J. K. Rao United States
Martin May Switzerland
Giovanni Neglia relative to Sridhar Machiraju United States Sridhar Machiraju's profile →
Citations per field
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Sridhar Machiraju · 1×
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Countries citing papers authored by Giovanni Neglia

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Neglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Neglia

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Neglia. A scholar is included among the top collaborators of Giovanni Neglia 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 Giovanni Neglia. Giovanni Neglia 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
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Federated Multi-Task Learning under a Mixture of Distributions
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Medium Access in WiFi Networks: Strategies of Selfish Nodes
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A Simulation Study of TCP Performance over Satellite Channels
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About Giovanni Neglia

Giovanni Neglia is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Management Information Systems, having authored 91 papers that have together received 1.5k indexed citations. Recurring topics across this work include Caching and Content Delivery (43 papers), Opportunistic and Delay-Tolerant Networks (16 papers) and Cooperative Communication and Network Coding (15 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Transportation (62 citations) and Statistical and Nonlinear Physics (73 citations). Giovanni Neglia has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Don Towsley, Jim Kurose, Xiaolan Zhang, Xiaolan Zhang, Damiano Carra, L. Giarré, Daniele Miorandi, Eitan Altman, Francesco De Pellegrini and Pietro Michiardi. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Smart Grid.

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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