Rahul Iyer

420 total citations
13 papers, 188 citations indexed

About

Rahul Iyer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rahul Iyer has authored 13 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rahul Iyer's work include Adversarial Robustness in Machine Learning (2 papers), Advanced Neural Network Applications (2 papers) and Wind and Air Flow Studies (1 paper). Rahul Iyer is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Advanced Neural Network Applications (2 papers) and Wind and Air Flow Studies (1 paper). Rahul Iyer collaborates with scholars based in United States and India. Rahul Iyer's co-authors include Katia Sycara, Michael Lewis, Ronghuo Zheng, Zhiting Hu, Tian Tian, Ahmed H. Tewfik, Frédéric Bourgault, J. Wang, Mark Campbell and Kamran Kıasaleh and has published in prestigious journals such as The Journal of Urology, IET Smart Grid and International Conference on Computational Linguistics.

In The Last Decade

Rahul Iyer

9 papers receiving 185 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rahul Iyer United States	6	128	33	24	17	16	13	188
Ahmed Salem United States	7	96 0.8×	78 2.4×	19 0.8×	36 2.1×	12 0.8×	29	206
Ahmed El Ouadrhiri Morocco	5	201 1.6×	45 1.4×	38 1.6×	8 0.5×	10 0.6×	16	265
Fatima Rayan Awad Ahmed Saudi Arabia	8	49 0.4×	47 1.4×	24 1.0×	27 1.6×	17 1.1×	15	189
Nicholay Topin United States	5	88 0.7×	10 0.3×	11 0.5×	24 1.4×	16 1.0×	9	143
Daniel J. Fremont United States	6	68 0.5×	15 0.5×	7 0.3×	14 0.8×	11 0.7×	10	118
Matthew Riemer United States	6	122 1.0×	21 0.6×	21 0.9×	24 1.4×	29 1.8×	13	187
Alexander Sasha Vezhnevets United Kingdom	4	107 0.8×	9 0.3×	11 0.5×	27 1.6×	33 2.1×	6	140
Rafael C. Cardoso United Kingdom	7	97 0.8×	33 1.0×	6 0.3×	15 0.9×	13 0.8×	37	185
Ayush K Tarun India	4	108 0.8×	16 0.5×	12 0.5×	38 2.2×	13 0.8×	6	178

Countries citing papers authored by Rahul Iyer

Since Specialization

Citations

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

Fields of papers citing papers by Rahul Iyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Iyer

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

All Works

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13 of 13 papers shown

Choudhury, Biplav, et al.. (2023). Control coordination in inverter‐based microgrids using AoI‐based 5G schedulers. IET Smart Grid. 7(1). 38–50. 1 indexed citations

Hoey, Jesse, Meiyappan Nagappan, Kimberly B. Rogers, et al.. (2021). Theoretical and Empirical Modeling of Identity and Sentiments in Collaborative Groups. SocArXiv (OSF Preprints).

Iyer, Rahul, et al.. (2020). Numerical investigation of flow field over four in-line circular cylinders for different spacing ratio. IOP Conference Series Materials Science and Engineering. 912(4). 42025–42025.

Sycara, Katia, et al.. (2018). Object-sensitive Deep Reinforcement Learning. EPiC series in computing. 50. 20–3. 51 indexed citations

Iyer, Rahul, et al.. (2018). Transparency and Explanation in Deep Reinforcement Learning Neural Networks. 144–150. 75 indexed citations

Iyer, Rahul, et al.. (2017). RecoMob: Opinion mining for product enhancement. 10. 1–5.

Zheng, Ronghuo, et al.. (2016). Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification. International Conference on Computational Linguistics. 2678–2688. 23 indexed citations

Iyer, Rahul & Ahmed H. Tewfik. (2012). Optimal Ordering Of Observations For Fast Sequential Detection. Zenodo (CERN European Organization for Nuclear Research). 126–130. 7 indexed citations

Iyer, Rahul & Dana H. Ballard. (2011). Humanoid muscle movement representation. 3. 409–415. 2 indexed citations

10.

Bourgault, Frédéric, et al.. (2008). Scalable Bayesian human-robot cooperation in mobile sensor networks. 6. 2342–2349. 22 indexed citations

11.

Zhang, Beilei, Rahul Iyer, & Kamran Kıasaleh. (2006). Reverse link erlang capacity of OFDMA wireless systems with adaptive resource allocation. 17. 2106–2109. 5 indexed citations

12.

Raj, Ganesh V., Rahul Iyer, Fernando J. Bianco, et al.. (2006). 673: Utility of Resection of Additional Peri-Prostatic Tissue in Patients Undergoing Radical Prostatectomy. The Journal of Urology. 175(4S). 217–217. 1 indexed citations

13.

Tewari, Ashish Kumar, Rahul Iyer, & Veena Tewari. (2004). Design and networking considerations for FACE. 8. 471–476. 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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