Hamid Séridi

1.2k total citations · 1 hit paper
74 papers, 652 citations indexed

About

Hamid Séridi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Hamid Séridi has authored 74 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 21 papers in Computer Networks and Communications. Recurrent topics in Hamid Séridi's work include Data Management and Algorithms (11 papers), Video Surveillance and Tracking Methods (9 papers) and IoT and Edge/Fog Computing (6 papers). Hamid Séridi is often cited by papers focused on Data Management and Algorithms (11 papers), Video Surveillance and Tracking Methods (9 papers) and IoT and Edge/Fog Computing (6 papers). Hamid Séridi collaborates with scholars based in Algeria, France and Italy. Hamid Séridi's co-authors include Ouarda Zedadra, Giancarlo Fortino, Antonio Guerrieri, Nicolas Jouandeau, Mohamed Amine Ferrag, Giandomenico Spezzano, Djallel Hamouda, Muhammet Kurulay, Herman Akdag and Mokhtar Sellami and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Hamid Séridi

67 papers receiving 628 citations

Hit Papers

At the Confluence of Artificial Intelligence and Edge Com... 2023 2026 2024 2025 2023 25 50 75 100
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. At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives
    2023 112 citations Ouarda Zedadra, Antonio Guerrieri et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamid Séridi Algeria 12 246 191 147 126 75 74 652
Pankaj Dadheech India 16 306 1.2× 218 1.1× 145 1.0× 106 0.8× 178 2.4× 85 759
Sandeep Kautish India 21 236 1.0× 304 1.6× 163 1.1× 161 1.3× 96 1.3× 64 906
Avinash Sharma India 18 206 0.8× 195 1.0× 151 1.0× 172 1.4× 108 1.4× 113 964
Muhammad Umar Aftab Pakistan 17 234 1.0× 329 1.7× 202 1.4× 158 1.3× 144 1.9× 55 941
A. Prasanth India 15 370 1.5× 209 1.1× 122 0.8× 107 0.8× 206 2.7× 36 840
Zengwei Zheng China 18 226 0.9× 209 1.1× 113 0.8× 106 0.8× 226 3.0× 83 769
Ahmed A. Elngar Egypt 14 119 0.5× 326 1.7× 215 1.5× 111 0.9× 72 1.0× 84 855
Shabana Habib Saudi Arabia 17 183 0.7× 288 1.5× 287 2.0× 110 0.9× 184 2.5× 53 873
Ankit Vidyarthi India 14 167 0.7× 244 1.3× 199 1.4× 96 0.8× 55 0.7× 98 683
Kadiyala Ramana India 15 204 0.8× 187 1.0× 91 0.6× 119 0.9× 118 1.6× 48 665

Countries citing papers authored by Hamid Séridi

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Séridi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Séridi

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Séridi. A scholar is included among the top collaborators of Hamid Séridi 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 Hamid Séridi. Hamid Séridi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zedadra, Ouarda, et al.. (2024). Inverse Firefly-Based Search Algorithms for Multi-Target Search Problem. Big Data and Cognitive Computing. 8(2). 18–18. 1 indexed citations
2.
3.
Séridi, Hamid, et al.. (2024). A multi-agent reinforcement learning based approach for intelligent traffic signal control. Evolving Systems. 15(6). 2383–2397. 1 indexed citations
4.
Séridi, Hamid, et al.. (2024). A pre-hoc SMOTE variants approach for mitigating dataset bias in medical ensemble learning models. 14(2). 49–55. 1 indexed citations
5.
Ferrag, Mohamed Amine, et al.. (2023). IoVT-based efficient solution for optimal active smart camera selection in a tracking mission. Internet of Things. 24. 100941–100941. 2 indexed citations
6.
Zedadra, Ouarda, et al.. (2023). At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives. Sensors. 23(3). 1639–1639. 112 indexed citations breakdown →
7.
Séridi, Hamid, et al.. (2023). New approach based on light enhancement and real-time dual CNN for classification of COVID-19 X-ray images. Evolving Systems. 15(3). 1073–1097. 3 indexed citations
8.
9.
Séridi, Hamid, et al.. (2023). Tree-based indexing technique for efficient and real-time label retrieval in the object tracking system. The Journal of Supercomputing. 79(18). 20562–20599. 2 indexed citations
10.
Séridi, Hamid, et al.. (2022). Diverse activation functions based-hybrid RBF-ELM neural network for medical classification. Evolutionary Intelligence. 17(2). 829–845. 9 indexed citations
11.
Séridi, Hamid, et al.. (2022). A new method for indexing continuous IoT data flows in metric space. Internet Technology Letters. 6(6). 1 indexed citations
12.
Ferrag, Mohamed Amine, et al.. (2022). A new static path planning strategy for drones. Internet Technology Letters. 5(6). 2 indexed citations
13.
Séridi, Hamid, et al.. (2021). Evolutionary Encryption Algorithm Ensuring Privacy in Video Surveillance. DergiPark (Istanbul University). 4(1). 28–55. 1 indexed citations
14.
Séridi, Hamid, et al.. (2019). Cooperative processing based on posture change detection and trajectory estimation for unknown multi-object tracking. International Journal of Systems Science. 50(13). 2539–2551. 5 indexed citations
15.
Séridi, Hamid, et al.. (2017). Combination of multiple classifiers for off-line handwritten arabic word recognition.. The International Arab Journal of Information Technology. 14. 713–720. 7 indexed citations
16.
Zedadra, Ouarda, Hamid Séridi, Nicolas Jouandeau, & Giancarlo Fortino. (2016). A Cooperative Switching Algorithm for Multi-Agent Foraging. Engineering Applications of Artificial Intelligence. 50. 302–319. 15 indexed citations
17.
Séridi, Hamid, et al.. (2015). Adaptive traffic signal control in multiple intersections network. Journal of Intelligent & Fuzzy Systems. 28(6). 2557–2567. 6 indexed citations
18.
Séridi, Hamid, et al.. (2012). AGENT-BASED MODELING FOR TRAFFIC SIMULATION. 14(14). 51–56. 10 indexed citations
19.
Séridi, Hamid, et al.. (2009). Système Neuro-Markovien pour la Reconnaissance de l'Écriture Manuscrite Arabe à Vocabulaire Limité.. 55(2). 277–299. 1 indexed citations
20.
Séridi, Hamid, et al.. (2001). Approximate Reasoning for Processing Uncertainty. Journal of Advanced Computational Intelligence and Intelligent Informatics. 5(2). 110–118. 3 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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