Vipula Rawte

470 total citations
12 papers, 129 citations indexed

About

Vipula Rawte is a scholar working on Artificial Intelligence, Management Science and Operations Research and Social Psychology. According to data from OpenAlex, Vipula Rawte has authored 12 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 2 papers in Social Psychology. Recurrent topics in Vipula Rawte's work include Stock Market Forecasting Methods (4 papers), Topic Modeling (3 papers) and Artificial Intelligence in Healthcare (2 papers). Vipula Rawte is often cited by papers focused on Stock Market Forecasting Methods (4 papers), Topic Modeling (3 papers) and Artificial Intelligence in Healthcare (2 papers). Vipula Rawte collaborates with scholars based in United States, India and Bangladesh. Vipula Rawte's co-authors include G. Anuradha, Amit Sheth, Swagata Chakraborty, Aman Chadha, Amitava Das, Aparna Gupta, Mohammed J. Zaki, Ashwin Kalyan, Manas Gaur and Kaushik Roy and has published in prestigious journals such as ACM Transactions on Knowledge Discovery from Data, Computational Economics and Frontiers in Big Data.

In The Last Decade

Vipula Rawte

8 papers receiving 114 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vipula Rawte United States	5	78	25	14	11	9	12	129
Saad Mahamood United Kingdom	5	181 2.3×	10 0.4×	18 1.3×	3 0.3×	5 0.6×	17	221
Gomathy Ramaswami New Zealand	7	88 1.1×	20 0.8×	38 2.7×	16 1.5×	2 0.2×	9	248
Gabriela Ferraro Australia	10	169 2.2×	18 0.7×	24 1.7×	4 0.4×	5 0.6×	32	255
John T. Avella United States	3	48 0.6×	13 0.5×	42 3.0×	9 0.8×	2 0.2×	7	256
Sandra G. Nunn United States	3	48 0.6×	13 0.5×	42 3.0×	9 0.8×	2 0.2×	5	254
Marcell Nagy Hungary	7	73 0.9×	27 1.1×	17 1.2×	16 1.5×	1 0.1×	15	210
Therese Kanai United States	3	46 0.6×	13 0.5×	43 3.1×	9 0.8×	2 0.2×	4	250
Agnieszka Mykowiecka Poland	7	160 2.1×	20 0.8×	10 0.7×	2 0.2×	14 1.6×	30	203
Vasileios Iosifidis Germany	5	134 1.7×	6 0.2×	16 1.1×	9 0.8×	6 0.7×	7	176
Geraldine Gray Ireland	8	82 1.1×	25 1.0×	38 2.7×	2 0.2×	1 0.1×	22	228

Countries citing papers authored by Vipula Rawte

Since Specialization

Citations

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

Fields of papers citing papers by Vipula Rawte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vipula Rawte

This figure shows the co-authorship network connecting the top 25 collaborators of Vipula Rawte. A scholar is included among the top collaborators of Vipula Rawte 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 Vipula Rawte. Vipula Rawte 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:

12 of 12 papers shown

1.

Rawte, Vipula, et al.. (2025). FACTOID: FACtual enTailment fOr hallucInation Detection. 599–617.

2.

Rawte, Vipula, et al.. (2025). Defining and Quantifying Visual Hallucinations in Vision-Language Models. 501–510. 2 indexed citations

3.

Rawte, Vipula, et al.. (2024). FETILDA: Evaluation Framework for Effective Representations of Long Financial Documents. ACM Transactions on Knowledge Discovery from Data. 18(7). 1–27. 1 indexed citations

4.

Roy, Kaushik, et al.. (2023). ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. Frontiers in Big Data. 5. 1056728–1056728. 13 indexed citations

5.

Rawte, Vipula, et al.. (2023). The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations. 2541–2573. 38 indexed citations

6.

Gupta, Aparna, Vipula Rawte, & Mohammed J. Zaki. (2023). Predicting Firm Financial Performance from SEC Filing Changes Using Automatically Generated Dictionary. Computational Economics. 64(1). 307–334. 3 indexed citations

7.

Rawte, Vipula, Aparna Gupta, & Mohammed J. Zaki. (2018). Analysis of year-over-year changes in Risk Factors Disclosure in 10-K filings. 1–4. 4 indexed citations

8.

Rawte, Vipula, Aparna Gupta, & Mohammed J. Zaki. (2018). Using supervised learning techniques for entity relationships. 1–2.

9.

Rawte, Vipula, Jamie P. McCusker, He Zhao, et al.. (2017). An Ontology for a Polymer Nanocomposite Community Data Resource. 411–412.

10.

Rawte, Vipula, et al.. (2015). Thyroid Disease Diagnosis using Ontology based Expert System. International Journal of Engineering Research and. V4(6). 6 indexed citations

11.

Rawte, Vipula & G. Anuradha. (2015). Fraud detection in health insurance using data mining techniques. 1–5. 58 indexed citations

12.

Rawte, Vipula, et al.. (2015). OBESTDD: Ontology Based Expert System for Thyroid Disease Diagnosis. 1. 1–6. 4 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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