Robin Chataut

1.3k total citations · 3 hit papers
36 papers, 748 citations indexed

About

Robin Chataut is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Robin Chataut has authored 36 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 13 papers in Computer Networks and Communications and 6 papers in Information Systems. Recurrent topics in Robin Chataut's work include Advanced MIMO Systems Optimization (19 papers), Advanced Wireless Communication Technologies (8 papers) and Cooperative Communication and Network Coding (7 papers). Robin Chataut is often cited by papers focused on Advanced MIMO Systems Optimization (19 papers), Advanced Wireless Communication Technologies (8 papers) and Cooperative Communication and Network Coding (7 papers). Robin Chataut collaborates with scholars based in United States, China and Nigeria. Robin Chataut's co-authors include Robert Akl, Prashnna Gyawali, Sohan Gyawali and Anurag K. Srivastava and has published in prestigious journals such as IEEE Access, Sensors and Electronics.

In The Last Decade

Robin Chataut

31 papers receiving 725 citations

Hit Papers

Massive MIMO Systems for 5G and beyond Networks—Overview,... 2020 2026 2022 2024 2020 2023 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin Chataut United States 11 496 248 147 96 67 36 748
Rania A. Mokhtar Sudan 15 341 0.7× 373 1.5× 101 0.7× 131 1.4× 77 1.1× 60 636
Diana Pamela Moya Osorio Finland 16 823 1.7× 446 1.8× 226 1.5× 118 1.2× 68 1.0× 58 1.1k
Philipp Schulz Germany 10 660 1.3× 558 2.3× 83 0.6× 63 0.7× 66 1.0× 51 941
Ying Ju China 15 523 1.1× 371 1.5× 199 1.4× 123 1.3× 117 1.7× 50 834
Sudhir K. Routray India 16 484 1.0× 392 1.6× 70 0.5× 50 0.5× 93 1.4× 69 730
Tommaso Pecorella Italy 14 375 0.8× 433 1.7× 100 0.7× 44 0.5× 67 1.0× 80 640
Chuan Xu China 15 316 0.6× 460 1.9× 129 0.9× 87 0.9× 43 0.6× 52 646
Aditya Trivedi India 14 473 1.0× 334 1.3× 95 0.6× 56 0.6× 32 0.5× 132 674
Cunqing Hua China 19 729 1.5× 792 3.2× 256 1.7× 86 0.9× 45 0.7× 112 1.1k

Countries citing papers authored by Robin Chataut

Since Specialization
Citations

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

Fields of papers citing papers by Robin Chataut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Chataut

This figure shows the co-authorship network connecting the top 25 collaborators of Robin Chataut. A scholar is included among the top collaborators of Robin Chataut 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 Robin Chataut. Robin Chataut 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.
Chataut, Robin, et al.. (2025). AutoTA: A Dynamic Intent-Based Virtual Teaching Assistant for Students Using Open Source LLMs. IEEE Access. 13. 118122–118134.
2.
Chataut, Robin, et al.. (2024). Security and Privacy in E-Health Systems: A Review of AI and Machine Learning Techniques. IEEE Access. 12. 148796–148816. 14 indexed citations
3.
Chataut, Robin, et al.. (2024). 6G Networks and the AI Revolution—Exploring Technologies, Applications, and Emerging Challenges. Sensors. 24(6). 1888–1888. 74 indexed citations breakdown →
6.
Gyawali, Prashnna, et al.. (2024). The Dark Side of AI: Large Language Models as Tools for Cyber Attacks on Vehicle Systems. 169–175. 3 indexed citations
7.
Chataut, Robin, et al.. (2024). Can AI Keep You Safe? A Study of Large Language Models for Phishing Detection. 548–554. 10 indexed citations
9.
Chataut, Robin, et al.. (2023). Securing Industrial Control Systems: Components, Cyber Threats, and Machine Learning-Driven Defense Strategies. Sensors. 23(21). 8840–8840. 37 indexed citations
10.
Chataut, Robin, et al.. (2023). Privacy in computer ethics: Navigating the digital age. 4(2). 183–190. 2 indexed citations
11.
Chataut, Robin, et al.. (2023). Privacy in computer ethics: Navigating the digital age. 4(2). 183–190.
12.
Chataut, Robin, et al.. (2023). An Adaptive User Scheduling Algorithm for 6G Massive MIMO Systems. 158–163.
13.
Akl, Robert, et al.. (2022). Performance Improvement in Cellular V2X (CV2X) by Using Massive MIMO Jacobi Detector. 122–127. 1 indexed citations
14.
Chataut, Robin, et al.. (2022). Massive MIMO Uplink Signal Detector for 5G and Beyond Networks. 1–7. 5 indexed citations
15.
Akl, Robert, et al.. (2021). Adaptive Millimeter-Wave Channel Estimation and Tracking. 23–28. 5 indexed citations
16.
Chataut, Robin, et al.. (2021). An Efficient and Fast-convergent Detector for 5G and Beyond Massive MIMO Systems. 6. 866–872. 3 indexed citations
17.
Akl, Robert, et al.. (2020). High Throughput Vehicular Communication Using Spatial Multiplexing MIMO. 110–115. 10 indexed citations
19.
Chataut, Robin & Robert Akl. (2019). Channel Gain Based User Scheduling for 5G Massive MIMO Systems. 49–53. 15 indexed citations
20.
Chataut, Robin, et al.. (2019). Least Square Regressor Selection Based Detection for Uplink 5G Massive MIMO Systems. 1–6. 15 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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