Anis Sakly

2.5k citations
189 papers · 1.8k indexed · h-index 21

Anis Sakly

177 papers receiving 1.7k citations

Peers

Anis Sakly
Comparison fields: 5 of 99
  • Renewable Energy, Sustainability and the Environment 522
  • Control and Systems Engineering 679
  • Artificial Intelligence 598
  • Energy Engineering and Power Technology 45
  • Computer Vision and Pattern Recognition 247
Replace Mohammed H. Qais with:
Mohammed H. Qais Saudi Arabia
Saad Alghuwainem Saudi Arabia
Davut İzci Türkiye
Hamed Al‐Raweshidy United Kingdom
P. Rajesh India
Serdar Ekinci Türkiye
Manuel G. Ortega Spain
Yiying Zhang China
Marcian Cirstea United Kingdom
J.M. Bravo Spain
Anis Sakly relative to Mohammed H. Qais Saudi Arabia Mohammed H. Qais's profile →
Citations per field
00.5×10×20×25.3×
Mohammed H. Qais · 1×
Citations per year

Countries citing papers authored by Anis Sakly

Since Specialization
Citations

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

Fields of papers citing papers by Anis Sakly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20241
4 20242
5 20236
6 20231
7 202313
8 20232
9 20232
10 20233
11 202217
12 20219
13 202123
14
Robust FPGA Hardware Architecture of DPSO Multilevel Image Segmentation
20171
15 20171
16 201638
17
Optimal Feature Selection based on Hybridization of MSFLA and Gabor filters for Enhanced MR Brain Image Recognition using SVM
20144
18 20139
19 20125
20
Stability Analysis of Continuous PI-like Fuzzy Control Systems based on Vector Norms Approach
20093

About Anis Sakly

Anis Sakly is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 189 papers that have together received 1.8k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (29 papers), Advanced Control Systems Optimization (24 papers), Neural Networks Stability and Synchronization (22 papers), Fuzzy Logic and Control Systems (18 papers), Metaheuristic Optimization Algorithms Research (18 papers), Adaptive Control of Nonlinear Systems (15 papers), Fault Detection and Control Systems (15 papers) and Photovoltaic System Optimization Techniques (14 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (522 citations), Control and Systems Engineering (679 citations) and Artificial Intelligence (598 citations). Anis Sakly has collaborated with scholars based in Tunisia, France and Canada. Frequent co-authors include Mohamed Faouzi Mimouni, Mouna Ben Smida, Faouzi M’Sahli, Abdellatif Mtibaa, Rémus Pusca, Mohamed Benrejeb, Fayçal Hamdaoui, Toufik Bakir, Med Faouzi Mimouni and Ahmed El Hajjaji. Their work appears in journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and IEEE Access.

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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