Prashanth Vijayaraghavan

521 total citations
23 papers, 149 citations indexed

About

Prashanth Vijayaraghavan is a scholar working on Artificial Intelligence, Management Information Systems and Information Systems. According to data from OpenAlex, Prashanth Vijayaraghavan has authored 23 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Management Information Systems and 3 papers in Information Systems. Recurrent topics in Prashanth Vijayaraghavan's work include Topic Modeling (6 papers), Natural Language Processing Techniques (3 papers) and Social Media and Politics (2 papers). Prashanth Vijayaraghavan is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (3 papers) and Social Media and Politics (2 papers). Prashanth Vijayaraghavan collaborates with scholars based in United States and India. Prashanth Vijayaraghavan's co-authors include Deb Roy, Soroush Vosoughi, Eric Chu, Ann Yuan, Shari Bolen, Pattie Maes, Ravi Shankar, Misha Sra, Rupesh Raina and Deepak Kumar and has published in prestigious journals such as PLoS ONE, Seminars in Dialysis and Journal of Modelling in Management.

In The Last Decade

Prashanth Vijayaraghavan

20 papers receiving 145 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashanth Vijayaraghavan United States 6 69 32 18 17 14 23 149
Louis Yu United States 8 33 0.5× 56 1.8× 53 2.9× 17 1.0× 13 170
Alice Kerly United Kingdom 3 151 2.2× 12 0.4× 29 1.6× 8 0.5× 3 199
Ahmed Maalel Tunisia 8 63 0.9× 24 0.8× 36 2.0× 22 1.3× 21 192
Krenare Pireva Kosovo 4 96 1.4× 20 0.6× 35 1.9× 10 0.6× 9 178
Myra Cheng United States 4 73 1.1× 27 0.8× 5 0.3× 21 1.2× 8 191
Ahmed Mourad Australia 6 202 2.9× 21 0.7× 61 3.4× 5 0.3× 12 240
José Ángel González Spain 8 184 2.7× 22 0.7× 22 1.2× 3 0.2× 30 226
Matti Wiegmann Germany 9 94 1.4× 78 2.4× 27 1.5× 15 0.9× 19 190
Andrew Caines United Kingdom 9 163 2.4× 25 0.8× 54 3.0× 7 0.4× 40 226
Aasish Pappu United States 8 168 2.4× 20 0.6× 44 2.4× 7 0.4× 29 217

Countries citing papers authored by Prashanth Vijayaraghavan

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Vijayaraghavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashanth Vijayaraghavan

This figure shows the co-authorship network connecting the top 25 collaborators of Prashanth Vijayaraghavan. A scholar is included among the top collaborators of Prashanth Vijayaraghavan 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 Prashanth Vijayaraghavan. Prashanth Vijayaraghavan 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.
Vijayaraghavan, Prashanth, et al.. (2024). VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation. 1–6. 4 indexed citations
2.
Vijayaraghavan, Prashanth, et al.. (2024). Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. 491–502.
3.
Vijayaraghavan, Prashanth, et al.. (2024). CircuitSynth: Leveraging Large Language Models for Circuit Topology Synthesis. 1–6.
4.
Vijayaraghavan, Prashanth, Serge Batalov, Yan Ding, et al.. (2023). The Genomic landscape of short tandem repeats across multiple ancestries. PLoS ONE. 18(1). e0279430–e0279430. 2 indexed citations
5.
Vijayaraghavan, Prashanth & Deb Roy. (2023). M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist’s Mental Representations. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13664–13672. 1 indexed citations
6.
Vijayaraghavan, Prashanth, et al.. (2023). Transforming Data Analysis through AI-Powered Data Science. PhilPapers (PhilPapers Foundation). 1–5.
7.
Vijayaraghavan, Prashanth & Soroush Vosoughi. (2022). TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3433–3448. 11 indexed citations
8.
Saveski, Martin, Nabeel Gillani, Ann Yuan, Prashanth Vijayaraghavan, & Deb Roy. (2022). Perspective-Taking to Reduce Affective Polarization on Social Media. Proceedings of the International AAAI Conference on Web and Social Media. 16. 885–895. 12 indexed citations
9.
Vijayaraghavan, Prashanth & Deb Roy. (2021). Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking. 529–540. 5 indexed citations
10.
Vijayaraghavan, Prashanth, et al.. (2021). Modeling Social Media Narratives about Caste-related News Stories.. 81–86. 2 indexed citations
11.
Vijayaraghavan, Prashanth & Deb Roy. (2021). Lifelong Knowledge-Enriched Social Event Representation Learning. 3624–3635. 4 indexed citations
12.
Vijayaraghavan, Prashanth, Eric Chu, & Deb Roy. (2020). DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory. 643–652. 1 indexed citations
13.
Sra, Misha, Prashanth Vijayaraghavan, Ognjen Rudovic, Pattie Maes, & Deb Roy. (2017). DeepSpace: Mood-Based Image Texture Generation for Virtual Reality from Music. 2289–2298. 5 indexed citations
14.
Raina, Rupesh, Prashanth Vijayaraghavan, Gaurav Kapur, et al.. (2017). Hemodialysis in neonates and infants: A systematic review. Seminars in Dialysis. 31(3). 289–299. 14 indexed citations
15.
Vosoughi, Soroush, Prashanth Vijayaraghavan, & Deb Roy. (2016). Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. DSpace@MIT (Massachusetts Institute of Technology). 34 indexed citations
16.
Sivaraman, Vijay, Narasimman Swaminathan, & Prashanth Vijayaraghavan. (2015). Privacy Preserving Web Search by Client Side Generalization of User Profile. 4(1). 14–17. 1 indexed citations
17.
Suresh, Srinivasan, M. Thenmozhi, & Prashanth Vijayaraghavan. (2006). Stock Market Reaction to Corporate Strategic Decisions. SSRN Electronic Journal. 2 indexed citations
18.
Vijayaraghavan, Prashanth, et al.. (2006). Modelling improved customer responses in web-enabled support networks. International Journal of Agile Systems and Management. 1(2). 166–166. 1 indexed citations
19.
Shankar, Ravi, Prashanth Vijayaraghavan, & T.T. Narendran. (2006). Modeling customer support performance in Indian IT hardware industry. Journal of Modelling in Management. 1(3). 232–254. 4 indexed citations
20.
Shankar, Ravi, Prashanth Vijayaraghavan, & T.T. Narendran. (2006). Optimal staffing policies for customer support system with uncertain demand. International Journal of Agile Systems and Management. 1(3). 299–299. 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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