Parminder Bhatia

776 total citations
28 papers, 232 citations indexed

About

Parminder Bhatia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Parminder Bhatia has authored 28 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Parminder Bhatia's work include Natural Language Processing Techniques (18 papers), Topic Modeling (17 papers) and Multimodal Machine Learning Applications (5 papers). Parminder Bhatia is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (17 papers) and Multimodal Machine Learning Applications (5 papers). Parminder Bhatia collaborates with scholars based in United States, Spain and China. Parminder Bhatia's co-authors include Jacob Eisenstein, Yangfeng Ji, Ramesh Nallapati, Bing Xiang, Dan Roth, Chandan K. Reddy, Zijian Wang, Ming Zhu, Varun Kumar and Ming Tan and has published in prestigious journals such as Studies in computational intelligence, ArXiv.org and PubMed.

In The Last Decade

Parminder Bhatia

22 papers receiving 218 citations

Peers

Parminder Bhatia

AI

IS

MB

SOFTW

CVPR

Amir Kantor Israel

David Burkett United States

Ales Kubicek Switzerland

Piotr Nyczyk Switzerland

Alexandre Rademaker Brazil

Kunihiko Miyazaki Japan

Anna Labella Italy

Niyu Ge United States

Matthias Gallé France

Mathieu Lafourcade France

Amir Kantor Israel

Parminder Bhatia

181 ×0.9

AI

48 ×1.2

IS

12 ×0.5

MB

11 ×0.6

SOFTW

40 ×2.2

CVPR

Citations per year, relative to Parminder Bhatia Parminder Bhatia (= 1×) peers Amir Kantor

Countries citing papers authored by Parminder Bhatia

Since Specialization

Citations

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

Fields of papers citing papers by Parminder Bhatia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parminder Bhatia

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

20 of 20 papers shown

1.

Huang, Longjun, et al.. (2025). MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models. ArXiv.org.

2.

Yang, Zhijian, et al.. (2025). Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation. 20991–21000.

3.

Athiwaratkun, Ben, Shiqi Wang, Mingyue Shang, et al.. (2024). Token Alignment via Character Matching for Subword Completion. 15725–15738.

4.

Bhatia, Parminder, et al.. (2024). BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. PubMed. 2024. 7429–7440. 1 indexed citations

5.

Wang, Zifeng, et al.. (2024). TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. 2805–2819. 3 indexed citations

6.

Yadav, Prateek, Qing Sun, Xiaopeng Li, et al.. (2023). Exploring Continual Learning for Code Generation Models. 782–792. 7 indexed citations

7.

Wei, Xiaokai, Sujan K. Gonugondla, Wasi Uddin Ahmad, et al.. (2023). Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. 224–236. 14 indexed citations

8.

Wang, Shiqi, Zheng Li, Haifeng Qian, et al.. (2023). ReCode: Robustness Evaluation of Code Generation Models. 13818–13843. 22 indexed citations

9.

Kumar, Varun, et al.. (2023). A Static Evaluation of Code Completion by Large Language Models. 347–360. 5 indexed citations

10.

Zhang, Dejiao, Yang Li, Ming Tan, et al.. (2023). Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation. 11067–11083. 3 indexed citations

11.

Perera, Pramuditha, et al.. (2023). Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. 15349–15358. 5 indexed citations

12.

Ahmad, Wasi Uddin, Zijian Wang, Nan Feng, et al.. (2023). ContraCLM: Contrastive Learning For Causal Language Model. 6436–6459. 2 indexed citations

13.

Wang, Zijian, Ming Tan, Ramesh Nallapati, et al.. (2022). DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. 203–211. 16 indexed citations

14.

Wei, Xiaokai, Zijian Wang, Shen Wang, et al.. (2022). Debiasing Neural Retrieval via In-batch Balancing Regularization. 58–66. 2 indexed citations

15.

Bhatia, Parminder, et al.. (2021). Neural Entity Recognition with Gazetteer based Fusion. 3291–3295. 5 indexed citations

16.

Zhu, Ming, et al.. (2020). LATTE: Latent Type Modeling for Biomedical Entity Linking. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 9757–9764. 15 indexed citations

17.

Bhatia, Parminder, et al.. (2019). Towards Fast and Unified Transfer Learning Architectures for Sequence Labeling. 1852–1859. 1 indexed citations

18.

Bhatia, Parminder, et al.. (2019). Towards Annotating and Creating Summary Highlights at Sub-sentence Level. 64–69. 3 indexed citations

19.

Bhatia, Parminder, et al.. (2019). Relation Extraction using Explicit Context Conditioning. 1442–1447. 9 indexed citations

20.

Bhatia, Parminder, Yangfeng Ji, & Jacob Eisenstein. (2015). Better Document-level Sentiment Analysis from RST Discourse Parsing. 2212–2218. 107 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.

Explore authors with similar magnitude of impact