I. Châari

24 papers receiving 417 citations

Peers

I. Châari
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 313
  • Control and Systems Engineering 123
  • Aerospace Engineering 130
  • Industrial and Manufacturing Engineering 46
  • Ocean Engineering 48
Replace Fatin Hassan Ajeil with:
Fatin Hassan Ajeil Iraq
Maram Alajlan Saudi Arabia
Loukas Petrou Greece
Marija Seder Croatia
Han-ye Zhang China
Xingjun Tian China
Changwei Miao China
Wei Jing Singapore
Young‐Ho Choi South Korea
Konstantin Yakovlev Russia
I. Châari relative to Fatin Hassan Ajeil Iraq Fatin Hassan Ajeil's profile →
Citations per field
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Fatin Hassan Ajeil · 1×
Citations per year

Countries citing papers authored by I. Châari

Since Specialization
Citations

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

Fields of papers citing papers by I. Châari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20250
3 202414
4 20230
5 20222
6 20211
7 20201
8 20183
9 20172
10 20172
11 201713
12 20167
13 20151
14 20151
15 201447
16 201339
17 20131
18 201246
19 20127
20 20081

About I. Châari

I. Châari is a scholar working on Computer Vision and Pattern Recognition, Biological Psychiatry, Dermatology, Computer Graphics and Computer-Aided Design and Neurology, having authored 27 papers that have together received 436 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), Robotics and Sensor-Based Localization (5 papers), Sexual function and dysfunction studies (3 papers), Modular Robots and Swarm Intelligence (3 papers), Aging, Elder Care, and Social Issues (2 papers), Gut microbiota and health (2 papers), Optimization and Search Problems (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (313 citations), Control and Systems Engineering (123 citations), Aerospace Engineering (130 citations), Industrial and Manufacturing Engineering (46 citations) and Ocean Engineering (48 citations). I. Châari has collaborated with scholars based in Tunisia, Saudi Arabia and Portugal. Frequent co-authors include Anis Koubâa, Hachémi Bennaceur, Adel Ammar, Maram Alajlan, Sahar Trigui, Habib Youssef, Mohamed-Foued Sriti, Omar Cheikhrouhou, Yasir Javed and Elhadi Shakshuki. Their work appears in journals such as Frontiers in Cellular Neuroscience, European Psychiatry, Soft Computing, Annales de Dermatologie et de Vénéréologie and International Journal of Advanced Robotic Systems.

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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