Moez Krichen

6.5k citations
165 papers · 3.2k indexed · 3 hit papers · h-index 31

Impact in

Papers in

Moez Krichen

146 papers receiving 3.0k citations

Hit Papers

Convolutional Neural Networks: A Survey 2023 · 294 citations
294202220262023202450100150200250

Peers

Moez Krichen
Comparison fields: 5 of 162
  • Software 175
  • Computer Networks and Communications 870
  • Information Systems 819
  • Signal Processing 323
  • Artificial Intelligence 808
Replace Pradeep Kumar Singh with:
Pradeep Kumar Singh India
Munam Ali Shah Pakistan
Xi Zheng Australia
Raghvendra Kumar India
Janmenjoy Nayak India
Manju Khari India
Salwani Abdullah Malaysia
Miodrag Živković Serbia
Ferat Sahin United States
Said Jadid Abdulkadir Malaysia
Moez Krichen relative to Pradeep Kumar Singh India Pradeep Kumar Singh's profile →
Citations per field
00.5×1.5×
Pradeep Kumar Singh · 1×
Citations per year

Countries citing papers authored by Moez Krichen

Since Specialization
Citations

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

Fields of papers citing papers by Moez Krichen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20246
5 20241
6 20240
7 20243
8 202418
9 20247
10 20242
11 20243
12 20245
13 20242
14 202335
15
Convolutional Neural Networks: A Survey
Hit paper breakdown →
2023294
16 202330
17 202331
18 20238
19 202124
20 202010

About Moez Krichen

Moez Krichen is a scholar working on Software, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Information Systems, having authored 165 papers that have together received 3.2k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (20 papers), Anomaly Detection Techniques and Applications (16 papers), Formal Methods in Verification (16 papers), Advanced Malware Detection Techniques (14 papers), IoT and Edge/Fog Computing (12 papers), Blockchain Technology Applications and Security (12 papers), Network Security and Intrusion Detection (11 papers) and Software System Performance and Reliability (11 papers). The work is most often cited by research in Software (175 citations), Computer Networks and Communications (870 citations), Information Systems (819 citations), Signal Processing (323 citations) and Artificial Intelligence (808 citations). Moez Krichen has collaborated with scholars based in Tunisia, Saudi Arabia and Pakistan. Frequent co-authors include Alaeddine Mihoub, Kamel Barkaoui, Rateb Jabbar, Qasem Abu Al‐Haija, Wilfried Yves Hamilton Adoni, Mariam Lahami, Roobaea Alroobaea, Mohamed Kharbeche, Noora Fetais and Mohamed S. Abdalzaher. Their work appears in journals such as Sensors, IEEE Access, Electronics, Computers, materials & continua/Computers, materials & continua (Print) and Journal of King Saud University - Computer and Information Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026