Slim Ben Saoud

450 citations
49 papers · 294 · h-index 11

Impact in

Papers in

Slim Ben Saoud

44 papers receiving 275 citations

Peers

Slim Ben Saoud
Comparison fields: 5 of 51
  • Hardware and Architecture 111
  • Computer Networks and Communications 87
  • Control and Systems Engineering 61
  • Computer Vision and Pattern Recognition 37
  • Cognitive Neuroscience 29
Replace Pasquale Davide Schiavone with:
Pasquale Davide Schiavone Switzerland
Khaled Ben Khalifa Tunisia
Naveed Khan Baloch Pakistan
Daniele Perito United States
Bouraoui Ouni Tunisia
Raymond J. McKenzie Australia
David Formby United States
Wen-Hung Huang Germany
Tobias Gemmeke Germany
Ali Jahanian Iran
Slim Ben Saoud relative to Pasquale Davide Schiavone Switzerland Pasquale Davide Schiavone's profile →
Citations per field
00.5×6.1×
Pasquale Davide Schiavone · 1×
Citations per year

Countries citing papers authored by Slim Ben Saoud

Since Specialization
Citations

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

Fields of papers citing papers by Slim Ben Saoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Slim Ben Saoud. 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 Slim Ben Saoud. The network helps show where Slim Ben Saoud may publish in the future.

Co-authors

The 6 scholars most cited alongside Slim Ben Saoud, 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 Slim Ben Saoud Line = papers co-authored together Slim Ben Saoud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202043
2 201733
3 202129
4 202118
5 201115
6 200812
7 201812
8 200811
9 201710
10 201210
11 202110
12 20178
13 20167
14 20067
15 20216
16 20105
17 20185
18 20204
19 20054
20 20233

About Slim Ben Saoud

Slim Ben Saoud is a scholar working on Hardware and Architecture, Control and Systems Engineering, Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 49 papers that have together received 294 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (25 papers), Real-time simulation and control systems (15 papers), Real-Time Systems Scheduling (13 papers), Parallel Computing and Optimization Techniques (10 papers), Interconnection Networks and Systems (10 papers), VLSI and Analog Circuit Testing (5 papers), Neural Networks and Applications (4 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Hardware and Architecture (111 citations), Computer Networks and Communications (87 citations), Control and Systems Engineering (61 citations), Computer Vision and Pattern Recognition (37 citations) and Cognitive Neuroscience (29 citations). Slim Ben Saoud has collaborated with scholars based in Tunisia, United States and France. Frequent co-authors include Daniel D. Gajski, Andreas Gerstlauer, Ahmed Braham, Adnane Chérif, Ralf Dörner and H. Schneider. Their work appears in journals such as American Journal of Applied Sciences, International Review on Computers and Software (IRECOS), IET Computers & Digital Techniques, Scientific Programming and International Journal of Automation and Control.

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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