Said Benhlima

585 total citations · 1 hit paper
18 papers, 376 citations indexed

About

Said Benhlima is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Said Benhlima has authored 18 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Said Benhlima's work include Robotic Path Planning Algorithms (9 papers), RNA and protein synthesis mechanisms (5 papers) and Genomics and Phylogenetic Studies (4 papers). Said Benhlima is often cited by papers focused on Robotic Path Planning Algorithms (9 papers), RNA and protein synthesis mechanisms (5 papers) and Genomics and Phylogenetic Studies (4 papers). Said Benhlima collaborates with scholars based in Morocco, Portugal and France. Said Benhlima's co-authors include Chaymaa Lamini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of King Saud University - Computer and Information Sciences and Journal of Bioinformatics and Computational Biology.

In The Last Decade

Said Benhlima

16 papers receiving 363 citations

Hit Papers

Genetic Algorithm Based Approach for Autonomous Mobile Ro... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genetic Algorithm Based Approach for Autonomous Mobile Robot Path Planning
    2018 309 citations Chaymaa Lamini, Said Benhlima et al. Procedia Computer Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Said Benhlima Morocco 6 279 106 104 102 45 18 376
Chaymaa Lamini Morocco 4 267 1.0× 106 1.0× 102 1.0× 94 0.9× 44 1.0× 5 332
Marco A. Contreras-Cruz Mexico 7 232 0.8× 110 1.0× 83 0.8× 95 0.9× 50 1.1× 13 330
Ee Soong Low Malaysia 6 228 0.8× 96 0.9× 81 0.8× 106 1.0× 58 1.3× 12 349
Fatin Hassan Ajeil Iraq 6 300 1.1× 140 1.3× 117 1.1× 99 1.0× 53 1.2× 6 409
Xingjun Tian China 4 230 0.8× 114 1.1× 105 1.0× 62 0.6× 38 0.8× 13 327
Changwei Miao China 4 245 0.9× 77 0.7× 104 1.0× 66 0.6× 52 1.2× 7 342
Konstantin Yakovlev Russia 10 257 0.9× 76 0.7× 132 1.3× 90 0.9× 50 1.1× 41 354
Ouarda Hachour Algeria 6 250 0.9× 125 1.2× 104 1.0× 72 0.7× 34 0.8× 14 306

Countries citing papers authored by Said Benhlima

Since Specialization
Citations

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

Fields of papers citing papers by Said Benhlima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Said Benhlima

This figure shows the co-authorship network connecting the top 25 collaborators of Said Benhlima. A scholar is included among the top collaborators of Said Benhlima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Said Benhlima. Said Benhlima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
2.
Benhlima, Said, et al.. (2025). A survey on autonomous navigation for mobile robots: From traditional techniques to deep learning and large language models. Journal of King Saud University - Computer and Information Sciences. 37(7).
3.
Benhlima, Said, et al.. (2024). Efficient autonomous navigation for mobile robots using machine learning. IAES International Journal of Artificial Intelligence. 13(3). 3061–3061. 4 indexed citations
4.
Benhlima, Said, et al.. (2024). A novel approach for end-to-end navigation for real mobile robots using a deep hybrid model. Intelligent Service Robotics. 18(1). 75–95. 3 indexed citations
5.
Benhlima, Said, et al.. (2024). Improvement the estimation of reference evapotranspiration by combining different types of meteorological data Using machine learning models. SHILAP Revista de lepidopterología. 492. 1001–1001. 1 indexed citations
6.
Benhlima, Said, et al.. (2024). Daily reference evapotranspiration estimation utilizing deep learning models with varied combinations of weather data. SHILAP Revista de lepidopterología. 492. 1002–1002. 2 indexed citations
7.
Lamini, Chaymaa, et al.. (2021). Fuzzy logic obstacle avoidance by a NAO robot in unknown environment. 1–7. 3 indexed citations
8.
Benhlima, Said, et al.. (2019). RNAknot: A new algorithm for RNA secondary structure prediction based on genetic algorithm and GRASP method. Journal of Bioinformatics and Computational Biology. 17(5). 1950031–1950031. 3 indexed citations
9.
Lamini, Chaymaa, et al.. (2018). Genetic Algorithm Based Approach for Autonomous Mobile Robot Path Planning. Procedia Computer Science. 127. 180–189. 309 indexed citations breakdown →
10.
Benhlima, Said, et al.. (2018). RNA secondary structure prediction based on genetic algorithm and comparative approach. 1–7. 1 indexed citations
11.
Lamini, Chaymaa, et al.. (2017). A Fuzzy Path Planning System Based on a Collaborative Reinforcement Learning. International Review of Automatic Control (IREACO). 10(2). 126–126. 3 indexed citations
12.
Lamini, Chaymaa, et al.. (2017). H-MAS architecture and reinforcement learning method for autonomous robot path planning. 1–7. 9 indexed citations
13.
Benhlima, Said, et al.. (2017). Genetic algorithms and dynamic weighted sum method for RNA alignment. 1–5. 9 indexed citations
14.
Benhlima, Said, et al.. (2017). A heuristic algorithm for RNA secondary structure based on genetic algorithm. 1–7. 9 indexed citations
15.
16.
Lamini, Chaymaa, et al.. (2015). Collaborative Q-learning path planning for autonomous robots based on holonic multi-agent system. 2. 1–6. 8 indexed citations
17.
18.
Benhlima, Said, et al.. (2014). Development of an embedded multi-agent software for autonomous robots. 24–29. 1 indexed citations

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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