Vineeth Rakesh

457 total citations
15 papers, 268 citations indexed

About

Vineeth Rakesh is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Vineeth Rakesh has authored 15 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Management Information Systems. Recurrent topics in Vineeth Rakesh's work include Topic Modeling (5 papers), Recommender Systems and Techniques (4 papers) and FinTech, Crowdfunding, Digital Finance (3 papers). Vineeth Rakesh is often cited by papers focused on Topic Modeling (5 papers), Recommender Systems and Techniques (4 papers) and FinTech, Crowdfunding, Digital Finance (3 papers). Vineeth Rakesh collaborates with scholars based in United States. Vineeth Rakesh's co-authors include Chandan K. Reddy, Wang-Chien Lee, Dilpreet Singh, Suhang Wang, Kai Shu, Huan Liu, Alexander Kotov, Bhanukiran Vinzamuri, Raha Moraffah and Nitin Agarwal and has published in prestigious journals such as ACM Transactions on Knowledge Discovery from Data, Proceedings of the International AAAI Conference on Web and Social Media and Proceedings of the 31st ACM International Conference on Information & Knowledge Management.

In The Last Decade

Vineeth Rakesh

14 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vineeth Rakesh United States	9	133	110	81	65	39	15	268
Qiujun Lan China	9	110 0.8×	93 0.8×	30 0.4×	50 0.8×	13 0.3×	37	312
L. Elisa Celis United States	10	42 0.3×	160 1.5×	25 0.3×	41 0.6×	29 0.7×	32	389
Victor Naroditskiy United Kingdom	11	28 0.2×	46 0.4×	46 0.6×	53 0.8×	22 0.6×	24	279
Jia Zhai China	12	29 0.2×	126 1.1×	25 0.3×	88 1.4×	8 0.2×	35	358
Fuguo Zhang China	11	167 1.3×	79 0.7×	24 0.3×	22 0.3×	27 0.7×	29	300
Julien Velcin France	6	63 0.5×	214 1.9×	12 0.1×	110 1.7×	63 1.6×	24	482
Krishnamurthy Iyer United States	11	24 0.2×	27 0.2×	80 1.0×	81 1.2×	10 0.3×	33	314
Martin Harrigan Ireland	7	328 2.5×	164 1.5×	34 0.4×	38 0.6×	60 1.5×	17	441
Jarrod West Australia	5	98 0.7×	234 2.1×	32 0.4×	26 0.4×	5 0.1×	5	339
Antonio Penta Italy	11	59 0.4×	84 0.8×	12 0.1×	108 1.7×	12 0.3×	35	423

Countries citing papers authored by Vineeth Rakesh

Since Specialization

Citations

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

Fields of papers citing papers by Vineeth Rakesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vineeth Rakesh

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

All Works

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15 of 15 papers shown

Jiang, Zhimeng, Vineeth Rakesh, Chin‐Chia Michael Yeh, et al.. (2025). MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. 2607–2622. 2 indexed citations

Rakesh, Vineeth, et al.. (2023). Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. 2345–2355.

Rakesh, Vineeth, et al.. (2022). Supervised Contrastive Learning for Interpretable Long-Form Document Matching. ACM Transactions on Knowledge Discovery from Data. 17(2). 1–17. 5 indexed citations

Li, Xiaoting, et al.. (2022). SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 4199–4203. 1 indexed citations

Rakesh, Vineeth, Jaegul Choo, & Chandan K. Reddy. (2021). Project Recommendation Using Heterogeneous Traits in Crowdfunding. Proceedings of the International AAAI Conference on Web and Social Media. 9(1). 337–346. 10 indexed citations

Rakesh, Vineeth, Suhang Wang, Kai Shu, & Huan Liu. (2019). Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. 438–446. 27 indexed citations

Shi, Tian, Vineeth Rakesh, Suhang Wang, & Chandan K. Reddy. (2019). Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. 2723–2731. 4 indexed citations

Rakesh, Vineeth, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, & Huan Liu. (2018). Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. 1679–1682. 20 indexed citations

Rakesh, Vineeth, et al.. (2018). A Study of Reddit-User's Response to Rape. 591–592. 4 indexed citations

10.

Rakesh, Vineeth, et al.. (2018). A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews. 1573–1582. 15 indexed citations

11.

Rakesh, Vineeth, et al.. (2017). Probabilistic Social Sequential Model for Tour Recommendation. 631–640. 22 indexed citations

12.

Rakesh, Vineeth, et al.. (2016). Project Success Prediction in Crowdfunding Environments. 247–256. 69 indexed citations

13.

Rakesh, Vineeth, Wang-Chien Lee, & Chandan K. Reddy. (2016). Probabilistic Group Recommendation Model for Crowdfunding Domains. 257–266. 49 indexed citations

14.

Rakesh, Vineeth, Dilpreet Singh, Bhanukiran Vinzamuri, & Chandan K. Reddy. (2014). Personalized Recommendation of Twitter Lists using Content and Network Information. Proceedings of the International AAAI Conference on Web and Social Media. 8(1). 416–425. 23 indexed citations

15.

Rakesh, Vineeth, et al.. (2013). Location-specific tweet detection and topic summarization in Twitter. 1441–1444. 17 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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