Pascal Bianchi

2.0k citations
67 papers · 729 · h-index 16

Impact in

Papers in

Pascal Bianchi

62 papers receiving 700 citations

Peers

Pascal Bianchi
Comparison fields: 5 of 83
  • Computer Networks and Communications 399
  • Computational Mechanics 135
  • Numerical Analysis 34
  • Artificial Intelligence 206
  • Signal Processing 67
Replace Doron Blatt with:
Doron Blatt United States
Maziar Sanjabi United States
Luba Tetruashvili Israel
S. Sundhar Ram United States
Eduardo Pasiliao United States
Shao-Po Wu United States
Zhi-Quan Luo United States
Hamid Reza Feyzmahdavian Sweden
João F. C. Mota United Kingdom
Necdet Serhat Aybat United States
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Citations per field
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Doron Blatt · 1×
Citations per year

Countries citing papers authored by Pascal Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201480
2 201366
3 202154
4 200945
5 201536
6 201632
7 200926
8 200924
9 201922
10 201220
11 200420
12 200819
13 200818
14 202215
15 201015
16 200515
17 200914
18 201113
19 200712
20 201611

About Pascal Bianchi

Pascal Bianchi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computational Mechanics and Signal Processing, having authored 67 papers that have together received 729 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (12 papers), Distributed Control Multi-Agent Systems (12 papers), Stochastic Gradient Optimization Techniques (11 papers), Advanced MIMO Systems Optimization (11 papers), Wireless Communication Networks Research (10 papers), Cooperative Communication and Network Coding (10 papers), Advanced Wireless Network Optimization (7 papers) and Advanced Wireless Communication Techniques (7 papers). The work is most often cited by research in Computer Networks and Communications (399 citations), Computational Mechanics (135 citations), Numerical Analysis (34 citations), Artificial Intelligence (206 citations) and Signal Processing (67 citations). Pascal Bianchi has collaborated with scholars based in France, Belgium and United Kingdom. Frequent co-authors include Walid Hachem, Philippe Ciblat, Franck Iutzeler, Gersende Fort, Jérémie Jakubowicz, Walid Hachem, Serdar Sezginer, Nassar Ksairi, Philippe Loubaton and Walid Ben‐Ameur. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Automatic Control, SIAM Journal on Optimization, Stochastics and IEEE Transactions on Communications.

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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