Amruta Purandare

597 total citations
13 papers, 292 citations indexed

About

Amruta Purandare is a scholar working on Artificial Intelligence, Social Psychology and Information Systems. According to data from OpenAlex, Amruta Purandare has authored 13 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 1 paper in Social Psychology and 1 paper in Information Systems. Recurrent topics in Amruta Purandare's work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Speech and dialogue systems (5 papers). Amruta Purandare is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Speech and dialogue systems (5 papers). Amruta Purandare collaborates with scholars based in United States and Singapore. Amruta Purandare's co-authors include Ted Pedersen, Diane Litman, Kate Forbes-Riley, Mihai Rotaru, Joel Tetreault, Hua Ai, Timothy Chklovski, Rada Mihalcea, Byung-Won On and Ee‐Peng Lim and has published in prestigious journals such as Language Resources and Evaluation, National Conference on Artificial Intelligence and D-Scholarship@Pitt (University of Pittsburgh).

In The Last Decade

Amruta Purandare

12 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amruta Purandare United States 9 234 50 50 34 28 13 292
Luis Chiruzzo Uruguay 9 233 1.0× 81 1.6× 23 0.5× 56 1.6× 28 1.0× 46 296
David B. Bracewell Japan 10 263 1.1× 23 0.5× 79 1.6× 25 0.7× 63 2.3× 39 323
Chung Hee Hwang United States 9 366 1.6× 25 0.5× 19 0.4× 18 0.5× 32 1.1× 16 397
Kay Peterson United States 9 308 1.3× 16 0.3× 15 0.3× 18 0.5× 47 1.7× 19 374
Abhijit Mishra India 13 336 1.4× 25 0.5× 24 0.5× 81 2.4× 29 1.0× 28 399
David K. Elson United States 12 421 1.8× 16 0.3× 22 0.4× 61 1.8× 48 1.7× 18 502
Alison K. Huettner United States 7 278 1.2× 17 0.3× 30 0.6× 17 0.5× 58 2.1× 10 325
Changhua Yang Taiwan 7 387 1.7× 37 0.7× 50 1.0× 25 0.7× 84 3.0× 17 439
Tulika Saha India 12 250 1.1× 82 1.6× 43 0.9× 33 1.0× 30 1.1× 32 334
John Niekrasz United States 9 178 0.8× 25 0.5× 11 0.2× 17 0.5× 14 0.5× 21 214

Countries citing papers authored by Amruta Purandare

Since Specialization
Citations

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

Fields of papers citing papers by Amruta Purandare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amruta Purandare

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

All Works

13 of 13 papers shown
1.
On, Byung-Won, et al.. (2010). Mining Interaction Behaviors for Email Reply Order Prediction. 306–310. 12 indexed citations
2.
Purandare, Amruta & Diane Litman. (2008). Analyzing Dialog Coherence Using Transition Patterns in Lexical and Semantic Features.. D-Scholarship@Pitt (University of Pittsburgh). 195–200. 7 indexed citations
3.
Purandare, Amruta & Diane Litman. (2008). Content-learning correlations in spoken tutoring dialogs at word, turn and discourse levels. D-Scholarship@Pitt (University of Pittsburgh). 439–443. 14 indexed citations
4.
Litman, Diane, et al.. (2008). Uncertainty corpus: Resource to study user affect in complex spoken dialogue systems. Language Resources and Evaluation. 5 indexed citations
5.
Forbes-Riley, Kate, Diane Litman, Amruta Purandare, Mihai Rotaru, & Joel Tetreault. (2007). Comparing Linguistic Features for Modeling Learning in Computer Tutoring. D-Scholarship@Pitt (University of Pittsburgh). 270–277. 9 indexed citations
6.
Purandare, Amruta & Diane Litman. (2006). Humor. 208–208. 46 indexed citations
7.
Ai, Hua, Diane Litman, Kate Forbes-Riley, et al.. (2006). Using system and user performance features to improve emotion detection in spoken tutoring dialogs. D-Scholarship@Pitt (University of Pittsburgh). paper 1682–Tue1A3O.2. 52 indexed citations
8.
Purandare, Amruta & Ted Pedersen. (2004). SenseClusters - finding clusters that represent word senses. National Conference on Artificial Intelligence. 1030–1031. 17 indexed citations
9.
Purandare, Amruta & Ted Pedersen. (2004). Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces. 41–48. 100 indexed citations
10.
Purandare, Amruta & Ted Pedersen. (2004). Discriminating among word meanings by identifying similar contexts. National Conference on Artificial Intelligence. 964–965. 1 indexed citations
11.
Chklovski, Timothy, Rada Mihalcea, Ted Pedersen, & Amruta Purandare. (2004). The SENSEVAL-3 Multilingual English-Hindi Lexical Sample Task. University of North Texas Digital Library (University of North Texas). 5–8. 16 indexed citations
12.
Purandare, Amruta & Ted Pedersen. (2004). SenseClusters. 26–29. 5 indexed citations
13.
Purandare, Amruta. (2003). Discriminating among word senses using McQuitty's similarity analysis. 3. 19–24. 8 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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