Tejaswini Pedapati

573 total citations
14 papers, 112 citations indexed

About

Tejaswini Pedapati is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tejaswini Pedapati has authored 14 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Tejaswini Pedapati's work include Machine Learning and Data Classification (4 papers), Time Series Analysis and Forecasting (3 papers) and Data Stream Mining Techniques (3 papers). Tejaswini Pedapati is often cited by papers focused on Machine Learning and Data Classification (4 papers), Time Series Analysis and Forecasting (3 papers) and Data Stream Mining Techniques (3 papers). Tejaswini Pedapati collaborates with scholars based in United States, Ireland and Mexico. Tejaswini Pedapati's co-authors include Çağatay Demiralp, Srinivasan Parthasarathy, Peter J. Haas, Pin‐Yu Chen, Djallel Bouneffouf, Brian Kingsbury, Samuel Thomas, Martin Wistuba, Udayan Khurana and Charų C. Aggarwal and has published in prestigious journals such as Nature Communications, Proceedings of the VLDB Endowment and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

In The Last Decade

Tejaswini Pedapati

11 papers receiving 111 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tejaswini Pedapati United States	4	78	50	22	10	9	14	112
Aditeya Pandey United States	6	46 0.6×	18 0.4×	11 0.5×	4 0.4×	8 0.9×	13	79
Zhuofeng Wu United States	4	87 1.1×	83 1.7×	19 0.9×	7 0.7×	9 1.0×	13	147
Michel Crampes France	5	37 0.5×	47 0.9×	12 0.5×	6 0.6×	5 0.6×	16	97
Wojciech Basalaj United Kingdom	6	221 2.8×	43 0.9×	32 1.5×	6 0.6×	10 1.1×	7	262
Wendy Cowley United States	5	106 1.4×	60 1.2×	38 1.7×	15 1.5×	17 1.9×	6	138
David Gross-Amblard France	4	81 1.0×	69 1.4×	20 0.9×	19 1.9×	4 0.4×	16	115
Maria Eskevich Ireland	8	126 1.6×	127 2.5×	50 2.3×	4 0.4×	7 0.8×	29	226
Payal Bajaj United States	6	42 0.5×	84 1.7×	19 0.9×	8 0.8×	21 2.3×	11	127
Aditya Mogadala India	5	53 0.7×	109 2.2×	5 0.2×	7 0.7×	5 0.6×	14	152
Christine J. Sandom United Kingdom	5	186 2.4×	48 1.0×	24 1.1×	5 0.5×	9 1.0×	8	209

Countries citing papers authored by Tejaswini Pedapati

Since Specialization

Citations

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

Fields of papers citing papers by Tejaswini Pedapati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tejaswini Pedapati

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

All Works

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14 of 14 papers shown

Ashktorab, Zahra, Michael Desmond, Qian Pan, et al.. (2025). EvalAssist: Insights on Task-Specific Evaluations and AI-Assisted Judgment Strategy Preferences. 1–23.

Desmond, Michael, Zahra Ashktorab, Werner Geyer, et al.. (2025). EvalAssist: LLM-as-a-Judge Simplified. Proceedings of the AAAI Conference on Artificial Intelligence. 39(28). 29637–29639. 1 indexed citations

Pedapati, Tejaswini, et al.. (2025). From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers. Proceedings of the AAAI Conference on Artificial Intelligence. 39(19). 20218–20227. 1 indexed citations

Abdelaziz, Ibrahim, Julian Dolby, Oktie Hassanzadeh, et al.. (2025). TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery Over Data Lakes. 1523–1536.

Pedapati, Tejaswini, et al.. (2024). Network properties determine neural network performance. Nature Communications. 15(1). 5718–5718. 7 indexed citations

Dhurandhar, Amit, et al.. (2024). NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. 2416–2430. 1 indexed citations

Dhurandhar, Amit, et al.. (2024). Model Agnostic Contrastive Explanations for Classification Models. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 14(4). 789–798. 2 indexed citations

Dhurandhar, Amit & Tejaswini Pedapati. (2022). Multihop: Leveraging Complex Models to Learn Accurate Simple Models. abs/1312.6184. 48–55.

Katsis, Yannis, Dakuo Wang, Alexandre Evfimievski, et al.. (2021). AutoText: An End-to-End AutoAI Framework for Text. Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 16001–16003. 3 indexed citations

10.

Wistuba, Martin, Ambrish Rawat, & Tejaswini Pedapati. (2020). Automation of Deep Learning - Theory and Practice. 5–6. 2 indexed citations

11.

Bouneffouf, Djallel, Charų C. Aggarwal, Udayan Khurana, et al.. (2020). Survey on Automated End-to-End Data Science?. 1–9. 6 indexed citations

12.

Pedapati, Tejaswini, Nalini Ratha, Prasanna Sattigeri, et al.. (2019). Color-Theoretic Experiments to Understand Unequal Gender Classification Accuracy From Face Images. 2286–2295. 14 indexed citations

13.

Nargesian, Fatemeh, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, & Deepak S. Turaga. (2018). Dataset Evolver: An Interactive Feature Engineering Notebook. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 1 indexed citations

14.

Demiralp, Çağatay, Peter J. Haas, Srinivasan Parthasarathy, & Tejaswini Pedapati. (2017). Foresight. Proceedings of the VLDB Endowment. 10(12). 1937–1940. 74 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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