Pascal Bianchi

2.0k total citations
66 papers, 685 citations indexed

About

Pascal Bianchi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Pascal Bianchi has authored 66 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 22 papers in Electrical and Electronic Engineering and 19 papers in Artificial Intelligence. Recurrent topics in Pascal Bianchi's work include Distributed Control Multi-Agent Systems (12 papers), Sparse and Compressive Sensing Techniques (11 papers) and Advanced MIMO Systems Optimization (11 papers). Pascal Bianchi is often cited by papers focused on Distributed Control Multi-Agent Systems (12 papers), Sparse and Compressive Sensing Techniques (11 papers) and Advanced MIMO Systems Optimization (11 papers). Pascal Bianchi collaborates with scholars based in France, United Kingdom and Belgium. Pascal Bianchi's co-authors include Walid Hachem, Jérémie Jakubowicz, Philippe Ciblat, Gersende Fort, Franck Iutzeler, Walid Hachem, Serdar Sezginer, Nassar Ksairi, Philippe Loubaton and Walid Ben‐Ameur and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Pascal Bianchi

61 papers receiving 653 citations

Peers

Pascal Bianchi
Comparison fields: 5 of 84
  • Computer Networks and Communications 378
  • Electrical and Electronic Engineering 273
  • Artificial Intelligence 191
  • Computational Mechanics 123
  • Signal Processing 64
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Citations per field, relative to Pascal Bianchi
Pascal Bianchi · 1×
Citations per year, relative to Pascal Bianchi
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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-authorship network of co-authors of Pascal Bianchi

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Bianchi. A scholar is included among the top collaborators of Pascal Bianchi 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 Pascal Bianchi. Pascal Bianchi 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
# Work Indexed citations
1 1
2 14
3 5
4
Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization
3
5 4
6
Convergence of the ADAM algorithm from a Dynamical System Viewpoint.
3
7 7
8 10
9 75
10 19
11
Segmentation of accelerometer signals recorded during continuous treadmill walking
5
12 1
13 13
14 1
15 21
16
Resource Allocation for Downlink Cellular OFDMA Systems: Part II - Asymptotic Analysis and Applications
2
17 6
18 2
19 15
20 2

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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