Giovanni Chierchia

1.4k citations
32 papers · 554 indexed · h-index 12
Topics
Advanced Image Processing Techniques (5 papers)Image Processing Techniques and Applications (5 papers)Complex Network Analysis Techniques (4 papers)
Partner nations
FranceIndiaItaly

In The Last Decade

Giovanni Chierchia

31 papers receiving 531 citations

Peers

Giovanni Chierchia
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 389
  • Media Technology 189
  • Biophysics 73
  • Artificial Intelligence 65
  • Computational Mechanics 62
Replace Hiuk Jae Shim with:
Hiuk Jae Shim South Korea
Tong Qiao China
Arjuna Flenner United States
Weihai Li China
Scott McCloskey United States
Alessia De Rosa Italy
Hanqing Zhao China
Triet Le United States
Dahua Gao China
Pavel Mrázek⋆ Germany
Giovanni Chierchia relative to Hiuk Jae Shim South Korea Hiuk Jae Shim's profile →
Citations per field
00.5×5.2×
Hiuk Jae Shim · 1×
Citations per year

Countries citing papers authored by Giovanni Chierchia

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Chierchia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Chierchia

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Chierchia. A scholar is included among the top collaborators of Giovanni Chierchia 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 Chierchia. Giovanni Chierchia 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
#WorkIndexed citations
1 3
2 0
3 5
4 4
5 3
6 11
7 1
8 2
9 6
10 20
11 11
12 4
13 12
14 19
15 62
16
Epigraphical splitting for solving constrained convex optimization problems with proximal tools - extended version
2
17 11
18 6
19 18
20 48

About Giovanni Chierchia

Giovanni Chierchia is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Media Technology, having authored 32 papers that have together received 554 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (5 papers), Image Processing Techniques and Applications (5 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Media Technology (189 citations), Computer Vision and Pattern Recognition (389 citations) and Biophysics (73 citations). Giovanni Chierchia has collaborated with scholars based in France, India and Italy. Frequent co-authors include Luisa Verdoliva, Carlo Sansone, Giovanni Poggi, Béatrice Pesquet‐Popescu, Jean‐Christophe Pesquet, Nelly Pustelnik, Giuseppe Scarpa, Sara Parrilli, Émilie Chouzenoux and Angshul Majumdar. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

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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