Preethi Raghavan

1.1k total citations
25 papers, 585 citations indexed

About

Preethi Raghavan is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Preethi Raghavan has authored 25 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 12 papers in Molecular Biology and 5 papers in Information Systems. Recurrent topics in Preethi Raghavan's work include Topic Modeling (18 papers), Natural Language Processing Techniques (14 papers) and Biomedical Text Mining and Ontologies (10 papers). Preethi Raghavan is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (14 papers) and Biomedical Text Mining and Ontologies (10 papers). Preethi Raghavan collaborates with scholars based in United States, India and Philippines. Preethi Raghavan's co-authors include Albert M. Lai, Eric Fosler‐Lussier, Noémie Elhadad, Peter J. Embí, Stephen B. Johnson, Chaitanya Shivade, Jennifer J. Liang, Jian Peng, Anusri Pampari and Peter Szolovits and has published in prestigious journals such as Journal of the American Medical Informatics Association, International Journal of Advanced Computer Science and Applications and JMIR Medical Informatics.

In The Last Decade

Preethi Raghavan

23 papers receiving 562 citations

Peers

Preethi Raghavan

AI

MB

HIM

EPIDE

IS

Rimma Pivovarov United States

Chaitanya Shivade United States

Margarita Sordo United States

Ergin Soysal United States

Joyce C. Ho United States

Valentina Tibollo Italy

Henk Harkema United States

Andrew Wen United States

Louise Deléger France

Saeed Mehrabi United States

Rimma Pivovarov United States

Preethi Raghavan

401 ×1.0

AI

336 ×1.4

MB

167 ×1.4

HIM

59 ×1.1

EPIDE

40 ×1.1

IS

Citations per year, relative to Preethi Raghavan Preethi Raghavan (= 1×) peers Rimma Pivovarov

Countries citing papers authored by Preethi Raghavan

Since Specialization

Citations

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

Fields of papers citing papers by Preethi Raghavan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preethi Raghavan

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

All Works

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20 of 20 papers shown

1.

Dhinakaran, D., et al.. (2024). AI-Enhanced Comprehensive Liver Tumor Prediction using Convolutional Autoencoder and Genomic Signatures. International Journal of Advanced Computer Science and Applications. 15(2). 9 indexed citations

2.

Wang, Liang, et al.. (2024). BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. 453–466. 2 indexed citations

3.

Raghavan, Preethi, et al.. (2023). Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding. 29–38. 1 indexed citations

4.

Raghavan, Preethi, et al.. (2022). Using Transformer-based Models for Taxonomy Enrichment and Sentence Classification. 250–258.

5.

Lehman, Eric, Nicole Rose I. Alberto, Dana Moukheiber, et al.. (2022). Learning to Ask Like a Physician. 74–86. 8 indexed citations

6.

Raghavan, Preethi, et al.. (2022). Jetsons at the FinNLP-2022 ERAI Task: BERT-Chinese for mining high MPP posts. 141–146. 1 indexed citations

7.

Lehman, Eric, et al.. (2022). Towards Generalizable Methods for Automating Risk Score Calculation. 426–431. 2 indexed citations

8.

Raghavan, Preethi, et al.. (2021). emrKBQA: A Clinical Knowledge-Base Question Answering Dataset. 64–73. 14 indexed citations

9.

Liang, Jennifer J., et al.. (2021). Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record.. PubMed. 2021. 763–772. 6 indexed citations

10.

Liang, Jennifer J., et al.. (2020). Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning. JMIR Medical Informatics. 8(11). e22508–e22508. 18 indexed citations

11.

Pampari, Anusri, Preethi Raghavan, Jennifer J. Liang, & Jian Peng. (2018). emrQA: A Large Corpus for Question Answering on Electronic Medical Records. 2357–2368. 87 indexed citations

12.

Raghavan, Preethi. (2014). MEDICAL EVENT TIMELINE GENERATION FROM CLINICAL NARRATIVES. OhioLink ETD Center (Ohio Library and Information Network). 2 indexed citations

13.

Raghavan, Preethi, Eric Fosler‐Lussier, Noémie Elhadad, & Albert M. Lai. (2014). Cross-narrative Temporal Ordering of Medical Events. 998–1008. 15 indexed citations

14.

Shivade, Chaitanya, Preethi Raghavan, Eric Fosler‐Lussier, et al.. (2013). A review of approaches to identifying patient phenotype cohorts using electronic health records. Journal of the American Medical Informatics Association. 21(2). 221–230. 349 indexed citations

15.

Raghavan, Preethi, Eric Fosler‐Lussier, & Albert M. Lai. (2012). Temporal Classification of Medical Events. North American Chapter of the Association for Computational Linguistics. 29–37. 11 indexed citations

16.

Raghavan, Preethi, Albert M. Lai, & Eric Fosler‐Lussier. (2012). Learning to Temporally Order Medical Events in Clinical Text. Meeting of the Association for Computational Linguistics. 70–74. 10 indexed citations

17.

Raghavan, Preethi, Eric Fosler‐Lussier, & Albert M. Lai. (2012). Exploring Semi-Supervised Coreference Resolution of Medical Concepts using Semantic and Temporal Features. North American Chapter of the Association for Computational Linguistics. 731–741. 8 indexed citations

18.

Raghavan, Preethi, et al.. (2010). Extracting Problem and Resolution Information from Online Discussion Forums. 77. 14 indexed citations

19.

Raghavan, Preethi. (2009). Extracting Opinions from Blog Comments: Analysis, Design and Applications. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations

20.

Raghavan, Preethi, et al.. (2009). A Framework for Improving Enterprise Services by Mining Customer Edge Data. 156–161. 3 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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