François Carrez

1.2k citations
36 papers · 766 · h-index 14

Impact in

Papers in

François Carrez

36 papers receiving 720 citations

Peers

François Carrez
Comparison fields: 5 of 81
  • Computer Networks and Communications 441
  • Signal Processing 143
  • Information Systems 171
  • Computer Vision and Pattern Recognition 148
  • Building and Construction 97
Replace Huan Li with:
Huan Li China
Feng Ye United States
Yasuo Tan Japan
Chunhua Hu China
Amirreza Niakanlahiji United States
Ralf Tönjes Germany
Marília Curado Portugal
Yacine Ghamri-Doudane France
Hairulnizam Mahdin Malaysia
Furqan Alam Saudi Arabia
François Carrez relative to Huan Li China Huan Li's profile →
Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by François Carrez

Since Specialization
Citations

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

Fields of papers citing papers by François Carrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014131
2 201789
3 201587
4 201762
5 201854
6 201551
7 201336
8 201331
9 201525
10 201525
11 201423
12 201121
13 201718
14 202413
15 202113
16 202410
17 201110
18 20226
19
Evaluation of Distributed SOAP and RESTful MobileWeb Services
20106
20 20225

About François Carrez

François Carrez is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 766 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), Service-Oriented Architecture and Web Services (9 papers), Time Series Analysis and Forecasting (8 papers), IoT and Edge/Fog Computing (6 papers), Data Management and Algorithms (5 papers), Data Stream Mining Techniques (5 papers), Network Security and Intrusion Detection (5 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Computer Networks and Communications (441 citations), Signal Processing (143 citations), Information Systems (171 citations), Computer Vision and Pattern Recognition (148 citations) and Building and Construction (97 citations). François Carrez has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Klaus Moessner, Adnan Akbar, Frieder Ganz, Payam Barnaghi, Srdjan Krčo, Boris Pokrić, Abdullah Aman Khan, Daniel Puschmann, Michele Nati and Chuan Heng Foh. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Access, Journal of Network and Computer Applications, IEEE Sensors Journal and IEEE Transactions on Cognitive Communications and Networking.

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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