Ali Nodehi

401 citations
17 papers · 302 · h-index 6

Impact in

Papers in

Ali Nodehi

15 papers receiving 286 citations

Peers

Ali Nodehi
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 237
  • Mathematical Physics 27
  • Artificial Intelligence 93
  • Computational Theory and Mathematics 42
  • Statistical and Nonlinear Physics 21
Replace Yuli Zhao with:
Yuli Zhao China
Wenjie Zhou China
Daniel Socek United States
Abir Awad Ireland
Ayaz Hassan Moon India
Rashid Ali Pakistan
R. S. Bhuvaneswaran India
Prabir Kumar Naskar India
K. C. Jithin Egypt
Ali Nodehi relative to Yuli Zhao China Yuli Zhao's profile →
Citations per field
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Yuli Zhao · 1×
Citations per year

Countries citing papers authored by Ali Nodehi

Since Specialization
Citations

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

Fields of papers citing papers by Ali Nodehi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ali Nodehi, 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 Ali Nodehi Line = papers co-authored together Ali Nodehi links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2019170
2 201433
3 200932
4 201322
5 202021
6 20095
7 20114
8 20213
9 20233
10 20213
11 20102
12
Determining Cluster-Heads in Mobile Ad-Hoc Networks Using Multi-Objective Evolutionary based Algorithm
20181
13 20231
14 20241
15 20111
16 20250
17 20240

About Ali Nodehi

Ali Nodehi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Mathematical Physics, having authored 17 papers that have together received 302 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (6 papers), Algorithms and Data Compression (4 papers), Chaos-based Image/Signal Encryption (3 papers), Mathematical Dynamics and Fractals (3 papers), Cellular Automata and Applications (3 papers), Advanced Steganography and Watermarking Techniques (2 papers), IoT and Edge/Fog Computing (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (237 citations), Mathematical Physics (27 citations), Artificial Intelligence (93 citations), Computational Theory and Mathematics (42 citations) and Statistical and Nonlinear Physics (21 citations). Ali Nodehi has collaborated with scholars based in Iran, Malaysia and Saudi Arabia. Frequent co-authors include Rasul Enayatifar, Saeed Shiry Ghidary, Hosein Mohamadi, Mznah Al‐Rodhaan, Amjad Rehman, Abdul Samad Ismail, Shaharuddin Salleh, Tanzila Saba, Abdullah Al‐Dhelaan and Ghazali Sulong. Their work appears in journals such as Multimedia Tools and Applications, Computer Networks, Signal Processing, Computational Intelligence and Neuroscience and Wireless Personal Communications.

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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