Ishan Jindal

763 total citations
13 papers, 179 citations indexed

About

Ishan Jindal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ishan Jindal has authored 13 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Ishan Jindal's work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Machine Learning and Algorithms (3 papers). Ishan Jindal is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Machine Learning and Algorithms (3 papers). Ishan Jindal collaborates with scholars based in United States, India and Mexico. Ishan Jindal's co-authors include Matthew Nokleby, Xuewen Chen, Zhiwei Qin, Jieping Ye, Xuewen Chen, Brian Lester, Shanmuganathan Raman, M. L. Dewal, Li Zhang and Yunyao Li and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, Optik and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Ishan Jindal

12 papers receiving 172 citations

Peers

Countries citing papers authored by Ishan Jindal

Since Specialization

Citations

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

Fields of papers citing papers by Ishan Jindal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ishan Jindal

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture 2023 ·Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, (unknown), (unknown), Shashank Srivastava, Yunyao Li, James Hendler, Dakuo Wang	4
2	When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications 2023 ·(unknown), Ishan Jindal, Kevin Chen–Chuan Chang, ChengXiang Zhai, Yunyao Li	1
3	Label Definitions Improve Semantic Role Labeling 2022 ·Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Li Zhang, Ishan Jindal, Yunyao Li	4
4	OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) ·(unknown), (unknown), (unknown), Ishan Jindal, (unknown)	0
5	CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling 2020 ·Ishan Jindal, Yunyao Li, Siddhartha Brahma, Huaiyu Zhu	1
6	An Effective Label Noise Model for 2019 ·Ishan Jindal, (unknown), Brian Lester, Matthew Nokleby	15
7	Tensor Matched Kronecker-structured Subspace Detection for Missing Information 2019 ·Ishan Jindal, Matthew Nokleby	2
8	Classification and Representation via Separable Subspaces: Performance Limits and Algorithms 2018 ·IEEE Journal of Selected Topics in Signal Processing ·Ishan Jindal, Matthew Nokleby	2
9	Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining 2018 ·Ishan Jindal, Zhiwei Qin, Xuewen Chen, Matthew Nokleby, Jieping Ye	29
10	Fast and compact Kronecker-structured dictionary learning for classification and representation 2017 ·Ishan Jindal, Matthew Nokleby	1
11	Dynamic scene classification using convolutional neural networks 2016 ·(unknown), (unknown), Ishan Jindal, Shanmuganathan Raman	16
12	Learning Deep Networks from Noisy Labels with Dropout Regularization 2016 ·Ishan Jindal, Matthew Nokleby, Xuewen Chen	97
13	Echocardiographic image denoising using extreme total variation bilateral filter 2015 ·Optik ·(unknown), M. L. Dewal, (unknown), Ishan Jindal	7

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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