Marc Adrat

561 citations
62 papers · 384 · h-index 11

Impact in

Papers in

Marc Adrat

53 papers receiving 366 citations

Peers

Marc Adrat
Comparison fields: 5 of 19
  • Computer Networks and Communications 250
  • Electrical and Electronic Engineering 337
  • Signal Processing 61
  • Computer Vision and Pattern Recognition 96
  • Artificial Intelligence 111
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Citations per year

Countries citing papers authored by Marc Adrat

Since Specialization
Citations

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

Fields of papers citing papers by Marc Adrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200267
2 200552
3 202126
4 200417
5 200216
6
Turbo DeCodulation using Highly Redundant Index Assignments and Multi-Dimensional Mappings
200615
7 200614
8 200912
9 202311
10 200511
11 200510
12 201910
13 20239
14 20088
15 20118
16
On The Optimum Performance Theoretically Attainable for Scalarly Quantized Correlated Sources
20067
17 20025
18
20055
19 20025
20 20185

About Marc Adrat

Marc Adrat is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 62 papers that have together received 384 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (37 papers), Error Correcting Code Techniques (24 papers), Algorithms and Data Compression (14 papers), Advanced Data Compression Techniques (10 papers), Wireless Communication Networks Research (9 papers), Full-Duplex Wireless Communications (6 papers), Wireless Communication Security Techniques (5 papers) and DNA and Biological Computing (5 papers). The work is most often cited by research in Computer Networks and Communications (250 citations), Electrical and Electronic Engineering (337 citations), Signal Processing (61 citations), Computer Vision and Pattern Recognition (96 citations) and Artificial Intelligence (111 citations). Marc Adrat has collaborated with scholars based in Germany, Belgium and Finland. Frequent co-authors include Peter Vary, Taneli Riihonen, Vincent Le Nir, Laurent Schmalen, Stefan Heinen, M. Antweiler, H. Elders–Boll, Erik Axell, Matias Turunen and Peter Jax. Their work appears in journals such as IEEE Communications Letters, Electronics, IEEE Wireless Communications Letters, IEEE Transactions on Aerospace and Electronic Systems and European Transactions on Telecommunications.

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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