Rakesh R. Menon

557 total citations
22 papers, 333 citations indexed

About

Rakesh R. Menon is a scholar working on Artificial Intelligence, Strategy and Management and Information Systems. According to data from OpenAlex, Rakesh R. Menon has authored 22 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Strategy and Management and 5 papers in Information Systems. Recurrent topics in Rakesh R. Menon's work include Topic Modeling (6 papers), Sustainable Supply Chain Management (5 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Rakesh R. Menon is often cited by papers focused on Topic Modeling (6 papers), Sustainable Supply Chain Management (5 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Rakesh R. Menon collaborates with scholars based in India, United States and Singapore. Rakesh R. Menon's co-authors include V. Ravi, Erik Learned-Miller, Aruni RoyChowdhury, Aarnout Brombacher, Han Tong Loh, Shashank Srivastava, Sayan Ghosh, Zhijie Liu, Lixiang Shen and Chong Jin Ong and has published in prestigious journals such as Reliability Engineering & System Safety, Quality and Reliability Engineering International and Journal of Research of the National Institute of Standards and Technology.

In The Last Decade

Rakesh R. Menon

20 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rakesh R. Menon India	10	134	61	48	48	44	22	333
Cihat Öztürk Türkiye	5	151 1.1×	55 0.9×	20 0.4×	29 0.6×	32 0.7×	9	294
Alireza Amjadian Iran	10	111 0.8×	145 2.4×	75 1.6×	42 0.9×	24 0.5×	14	414
Weiguo Fang China	11	153 1.1×	162 2.7×	55 1.1×	81 1.7×	62 1.4×	36	405
Sobhan Arisian Australia	9	119 0.9×	86 1.4×	12 0.3×	24 0.5×	40 0.9×	23	282
Luca Canetta Switzerland	10	108 0.8×	72 1.2×	17 0.4×	19 0.4×	66 1.5×	42	352
Junfeng Dong China	12	88 0.7×	90 1.5×	11 0.2×	35 0.7×	90 2.0×	31	360
Saijun Shao China	9	75 0.6×	71 1.2×	29 0.6×	30 0.6×	28 0.6×	15	359
Tian Li China	9	205 1.5×	140 2.3×	34 0.7×	90 1.9×	131 3.0×	32	449
Tomomi Kito Japan	10	89 0.7×	36 0.6×	31 0.6×	23 0.5×	27 0.6×	21	350
Kristina Šutienė Lithuania	10	59 0.4×	16 0.3×	37 0.8×	38 0.8×	45 1.0×	30	307

Countries citing papers authored by Rakesh R. Menon

Since Specialization

Citations

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

Fields of papers citing papers by Rakesh R. Menon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rakesh R. Menon. 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 Rakesh R. Menon. The network helps show where Rakesh R. Menon may publish in the future.

Co-authorship network of co-authors of Rakesh R. Menon

This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh R. Menon. A scholar is included among the top collaborators of Rakesh R. Menon 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 Rakesh R. Menon. Rakesh R. Menon 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

Menon, Rakesh R., et al.. (2024). SocialGaze: Improving the Integration of Human Social Norms in Large Language Models. 16487–16506. 2 indexed citations

Lange, Lukas, et al.. (2023). DelucionQA: Detecting Hallucinations in Domain-specific Question Answering. 822–835. 9 indexed citations

Menon, Rakesh R., et al.. (2023). CoAug: Combining Augmentation of Labels and Labelling Rules. 9062–9071.

Menon, Rakesh R., et al.. (2023). MaNtLE: Model-agnostic Natural Language Explainer. 13493–13511.

Ghosh, Sayan, Rakesh R. Menon, & Shashank Srivastava. (2023). LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning. 7403–7419. 1 indexed citations

Menon, Rakesh R., Sayan Ghosh, & Shashank Srivastava. (2022). CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6523–6546. 4 indexed citations

Menon, Rakesh R. & V. Ravi. (2022). Using AHP-TOPSIS methodologies in the selection of sustainable suppliers in an electronics supply chain. Cleaner Materials. 5. 100130–100130. 75 indexed citations

Ramamurthy, Praveen C., et al.. (2021). Efficacy of Ultraviolet-C Devices for the Disinfection of Personal Protective Equipment Fabrics and N95 Respirators. Journal of Research of the National Institute of Standards and Technology. 126. 126023–126023. 7 indexed citations

Menon, Rakesh R. & V. Ravi. (2021). Analysis of enablers of sustainable supply chain management in electronics industries: The Indian context. Cleaner Engineering and Technology. 5. 100302–100302. 24 indexed citations

10.

Menon, Rakesh R. & V. Ravi. (2021). Analysis of barriers of sustainable supply chain management in electronics industry: An interpretive structural modelling approach. Cleaner and Responsible Consumption. 3. 100026–100026. 54 indexed citations

11.

Menon, Rakesh R. & V. Ravi. (2021). Using ANP and QFD methodologies to analyze eco-efficiency requirements in an electronic supply chain. Cleaner Engineering and Technology. 5. 100350–100350. 12 indexed citations

12.

RoyChowdhury, Aruni, et al.. (2018). The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation. 508–517. 28 indexed citations

13.

Menon, Rakesh R., S.S. Keerthi, Han Tong Loh, & Aarnout Brombacher. (2005). On the effectiveness of latent semantic analysis for the categorization of call centre records. 2. 546–550. 2 indexed citations

14.

Menon, Rakesh R.. (2004). Mining of textual databases within the product development process. Data Archiving and Networked Services (DANS). 10(2). 24–5. 1 indexed citations

15.

Menon, Rakesh R., et al.. (2004). Analyzing textual databases using data mining to enable fast product development processes. Reliability Engineering & System Safety. 88(2). 171–180. 19 indexed citations

16.

Menon, Rakesh R., et al.. (2003). The Needs and Benefits of Applying Textual Data Mining within the Product Development Process. Quality and Reliability Engineering International. 20(1). 1–15. 21 indexed citations

17.

Loh, Han Tong, et al.. (2002). A Study of Service Center Records Using Data Mining. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

18.

Menon, Rakesh R., et al.. (2002). Robust design of a spindle motor: a case study. Reliability Engineering & System Safety. 75(3). 313–319. 9 indexed citations

19.

Keerthi, S. Sathiya, Chong Jin Ong, Wei Chu, et al.. (2002). A machine learning approach for the curation of biomedical literature. ACM SIGKDD Explorations Newsletter. 4(2). 93–94. 14 indexed citations

20.

Menon, Rakesh R.. (1993). Nonlinear command augmentation system for a high performance aircraft. Guidance, Navigation and Control Conference. 23 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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