Marc Adrat

555 citations
59 papers · 379 indexed · h-index 11

Impact in

Papers in

Marc Adrat

51 papers receiving 361 citations

Peers

Marc Adrat
Comparison fields: 5 of 19
  • Computer Networks and Communications 247
  • Electrical and Electronic Engineering 333
  • 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-authorship network

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
#Work
1 20250
2 20241
3 20239
4 20232
5 20221
6 20212
7 20210
8 20185
9 20153
10
Selection and investigation of a civil Wideband Waveform for potential military use
20120
11
Legacy waveforms on Software Defined Radio: Can hierarchical modulation offer an added value to SDR operators?
20121
12 20111
13
Legacy Waveforms on Software Defined Radios: Benefits of Advanced Digital Signal Processing
20102
14
Acquiring and Sharing Knowledge for Developing SCA Based Waveforms on SDRs
20101
15 20090
16
On The Optimum Performance Theoretically Attainable for Scalarly Quantized Correlated Sources
20067
17 20060
18 20062
19 20025
20
A Noise Suppression System for the AMR Speech Codec
20002

About Marc Adrat

Marc Adrat is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 379 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (36 papers), Error Correcting Code Techniques (23 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 Satellite Communication Systems (4 papers). The work is most often cited by research in Computer Networks and Communications (247 citations), Electrical and Electronic Engineering (333 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, Finland and Belgium. Frequent co-authors include Peter Vary, Taneli Riihonen, Vincent Le Nir, Laurent Schmalen, Stefan Heinen, M. Antweiler, Erik Axell, H. Elders–Boll, Matias Turunen and Jean-Pierre Leduc. Their work appears in journals such as IEEE Communications Letters, Electronics, European Transactions on Telecommunications, IEEE Wireless Communications Letters and IEEE Transactions on Wireless 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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