Marc Duranton

758 citations
46 papers · 503 · h-index 13

Impact in

Papers in

Marc Duranton

41 papers receiving 483 citations

Peers

Marc Duranton
Comparison fields: 5 of 61
  • Hardware and Architecture 226
  • Computer Networks and Communications 158
  • Computer Vision and Pattern Recognition 85
  • Artificial Intelligence 131
  • Electrical and Electronic Engineering 205
Replace Răzvan Nane with:
Răzvan Nane Netherlands
Kui Dai China
Guohao Dai China
Hsuan Hsiao Canada
Kaushik Roy United States
M. B. Abdelhalim Egypt
Ramesh Bhakthavatchalu India
Blair Fort Canada
Sameh Asaad United States
Sehwan Lee South Korea
Marc Duranton relative to Răzvan Nane Netherlands Răzvan Nane's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marc Duranton

Since Specialization
Citations

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

Fields of papers citing papers by Marc Duranton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201285
2 199254
3 200653
4
The HiPEAC Vision
201027
5 200824
6 201920
7 201418
8 201418
9 201016
10 199616
11 201614
12 199014
13 200613
14 201012
15 200612
16 200611
17 20158
18 20127
19 20037
20 20237

About Marc Duranton

Marc Duranton is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Media Technology, having authored 46 papers that have together received 503 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Embedded Systems Design Techniques (11 papers), CCD and CMOS Imaging Sensors (10 papers), Neural Networks and Applications (8 papers), Interconnection Networks and Systems (8 papers), Advanced Memory and Neural Computing (8 papers), Advanced Vision and Imaging (6 papers) and Image Processing Techniques and Applications (5 papers). The work is most often cited by research in Hardware and Architecture (226 citations), Computer Networks and Communications (158 citations), Computer Vision and Pattern Recognition (85 citations), Artificial Intelligence (131 citations) and Electrical and Electronic Engineering (205 citations). Marc Duranton has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include Nicolas Mauduit, Olivier Temam, Albert Cohen, Christine Eisenbeis, Marc Pouzet, Claire Pagetti, Yunji Chen, Atif G. Hashmi, Mikko H. Lipasti and Tianshi Chen. Their work appears in journals such as Communications of the ACM, ACM Transactions on Embedded Computing Systems, ACM SIGPLAN Notices, IEEE Journal of Solid-State Circuits and IEEE Micro.

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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