Rachid Oucheikh

678 total citations · 1 hit paper
24 papers, 419 citations indexed

About

Rachid Oucheikh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Rachid Oucheikh has authored 24 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Rachid Oucheikh's work include Geographic Information Systems Studies (4 papers), Maritime Navigation and Safety (3 papers) and Big Data and Business Intelligence (2 papers). Rachid Oucheikh is often cited by papers focused on Geographic Information Systems Studies (4 papers), Maritime Navigation and Safety (3 papers) and Big Data and Business Intelligence (2 papers). Rachid Oucheikh collaborates with scholars based in Sweden, Morocco and Norway. Rachid Oucheikh's co-authors include Thor I. Fossen, Ottar L. Osen, Anete Vagale, Robin T. Bye, Ali Mansourian, Ismaïl Berrada, Lars Harrie, Tuve Löfström, Mustapha Hain and Ibrahim A. Hameed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Rachid Oucheikh

22 papers receiving 390 citations

Hit Papers

align trajectories

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.

Path planning and collision avoidance for autonomous surface vehicles I: a review

2021 173 citations Anete Vagale, Rachid Oucheikh et al. Journal of Marine Science and Technology profile →

Peers

Rachid Oucheikh

OE

CVPR

TRANS

IME

CSE

Shuo Xie China

Xianqiao Chen China

Shangding Gu China

Massimiliano Nolich Italy

Shubo Wu China

Vitor A. M. Jorge Brazil

Derlis Gregor Paraguay

Seungho Lee South Korea

Billy Pik Lik Lau Singapore

Shuo Xie China

Rachid Oucheikh

290 ×1.4

OE

133 ×1.0

CVPR

64 ×1.3

TRANS

66 ×1.3

IME

95 ×1.9

CSE

Citations per year, relative to Rachid Oucheikh Rachid Oucheikh (= 1×) peers Shuo Xie

Countries citing papers authored by Rachid Oucheikh

Since Specialization

Citations

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

Fields of papers citing papers by Rachid Oucheikh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachid Oucheikh

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Mohammadi, Babak, et al.. (2025). Enhancing streamflow drought prediction: integrating wavelet decomposition with deep learning and quantile regression neural network models. Earth Science Informatics. 18(2). 1 indexed citations

2.

Oucheikh, Rachid, et al.. (2025). A Reinforcement Learning-Based Proximal Policy Optimization Approach to Solve the Economic Dispatch Problem. SHILAP Revista de lepidopterología. 24–24. 1 indexed citations

3.

Oucheikh, Rachid & Lars Harrie. (2024). A feasibility study of applying generative deep learning models for map labeling. Cartography and Geographic Information Science. 51(1). 168–191. 6 indexed citations

4.

Oucheikh, Rachid, et al.. (2024). Enhancing Supply Chain Resilience: RIME-Clustering and Ensemble Deep Learning Strategies for Late Delivery Risk Prediction. Logforum. 20(1). 55–71. 1 indexed citations

5.

Oucheikh, Rachid, et al.. (2024). Optimizing Procurement Strategies for Diverse Product Segments: A Case Study in Pharmaceutical Supply Chain Management. Operations and Supply Chain Management An International Journal. 236–252.

6.

Oucheikh, Rachid, et al.. (2024). Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review. Applied System Innovation. 7(5). 93–93. 13 indexed citations

7.

Mansourian, Ali & Rachid Oucheikh. (2024). ChatGeoAI: Enabling Geospatial Analysis for Public through Natural Language, with Large Language Models. ISPRS International Journal of Geo-Information. 13(10). 348–348. 18 indexed citations

8.

Oucheikh, Rachid, et al.. (2024). Blockchain-IIoT Integration: Revolutionizing Smart Manufacturing Process Monitoring. 1–9.

9.

Oucheikh, Rachid, et al.. (2024). Enhancing Supply Chain Resilience: A Deep Learning Approach to Late Delivery Risk Prediction. 1–7. 3 indexed citations

10.

Harrie, Lars, et al.. (2024). Machine learning in cartography. Cartography and Geographic Information Science. 51(1). 1–19. 12 indexed citations

11.

Oucheikh, Rachid, et al.. (2022). Data Clustering using Two-Stage Eagle Strategy Based on Slime Mould Algorithm. Journal of Computer Science. 18(11). 1062–1084. 1 indexed citations

12.

Harrie, Lars, et al.. (2022). Label Placement Challenges in City Wayfinding Map Production—Identification and Possible Solutions. Journal of Geovisualization and Spatial Analysis. 6(1). 17 indexed citations

13.

Oucheikh, Rachid, et al.. (2022). NLP Cross-Domain Recognition of Retail Products. 237–243. 2 indexed citations

14.

Oucheikh, Rachid, Tuve Löfström, Ernst Ahlberg, & Lars Carlsson. (2021). Rolling Cargo Management Using a Deep Reinforcement Learning Approach. SHILAP Revista de lepidopterología. 5(1). 10–10. 12 indexed citations

15.

Oucheikh, Rachid, et al.. (2021). Benchmarking Classical and AI-based Caching Strategies in Internet of Vehicles. 518. 1–6. 2 indexed citations

16.

Vagale, Anete, Rachid Oucheikh, Robin T. Bye, Ottar L. Osen, & Thor I. Fossen. (2021). Path planning and collision avoidance for autonomous surface vehicles I: a review. Journal of Marine Science and Technology. 26(4). 1292–1306. 173 indexed citations breakdown →

17.

Oucheikh, Rachid, et al.. (2021). A Personalized Learning Scheme for Internet of Vehicles Caching. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 4 indexed citations

18.

Oucheikh, Rachid, et al.. (2020). Deep Real-Time Anomaly Detection for Connected Autonomous Vehicles. Procedia Computer Science. 177. 456–461. 21 indexed citations

19.

Oucheikh, Rachid, et al.. (2019). Path Planning in Dynamic Environment Using Particle Swarm Optimization Algorithm. 1–5. 14 indexed citations

20.

Oucheikh, Rachid, et al.. (2018). Advanced Driving Behavior Analytics for an Improved Safety Assessment and Driver Fingerprinting. IEEE Transactions on Intelligent Transportation Systems. 20(6). 2171–2184. 22 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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