Ashutosh Gupta

1.7k total citations
89 papers, 600 citations indexed

About

Ashutosh Gupta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ashutosh Gupta has authored 89 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 12 papers in Computer Networks and Communications. Recurrent topics in Ashutosh Gupta's work include Formal Methods in Verification (10 papers), Retinal Imaging and Analysis (8 papers) and Retinal Diseases and Treatments (7 papers). Ashutosh Gupta is often cited by papers focused on Formal Methods in Verification (10 papers), Retinal Imaging and Analysis (8 papers) and Retinal Diseases and Treatments (7 papers). Ashutosh Gupta collaborates with scholars based in India, United States and Germany. Ashutosh Gupta's co-authors include Andrey Rybalchenko, Corneliu Popeea, Shubhi Gupta, Thomas A. Henzinger, Rupak Majumdar, Ru-Gang Xu, Sanjeev Thakur, Debasis Das, S. S. Bedi and Suneeta Agarwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers & Mathematics with Applications.

In The Last Decade

Ashutosh Gupta

76 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashutosh Gupta India 13 282 148 122 101 86 89 600
Vahid Rafe Iran 16 281 1.0× 110 0.7× 309 2.5× 330 3.3× 36 0.4× 73 703
Mimmo Parente Italy 14 233 0.8× 146 1.0× 13 0.1× 121 1.2× 84 1.0× 63 598
Roelf J. Wieringa Netherlands 13 342 1.2× 96 0.6× 164 1.3× 379 3.8× 18 0.2× 69 674
S. M. K. Quadri India 14 115 0.4× 17 0.1× 194 1.6× 220 2.2× 64 0.7× 73 747
Pak‐Lok Poon Australia 14 233 0.8× 48 0.3× 599 4.9× 345 3.4× 58 0.7× 54 896
V. Rajaraman India 14 103 0.4× 44 0.3× 16 0.1× 98 1.0× 30 0.3× 76 514
Rajesh Parekh United States 13 324 1.1× 51 0.3× 9 0.1× 146 1.4× 92 1.1× 34 604
Yi Fang United States 13 396 1.4× 37 0.3× 21 0.2× 281 2.8× 98 1.1× 53 654
Alan Hartman Israel 17 398 1.4× 178 1.2× 449 3.7× 183 1.8× 8 0.1× 51 1.1k
Rahul Kumar India 12 259 0.9× 19 0.1× 73 0.6× 194 1.9× 38 0.4× 43 575

Countries citing papers authored by Ashutosh Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Ashutosh Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashutosh Gupta

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

All Works

20 of 20 papers shown
1.
Gupta, Ashutosh, et al.. (2025). Image caption generation via improved vision-language pre-training model: perception towards image retrieval. The Imaging Science Journal. 73(6). 717–743.
2.
Mehrabi, Ninareh, Palash Goyal, Kai-Wei Chang, et al.. (2024). The steerability of large language models toward data-driven personas. 7290–7305. 2 indexed citations
3.
Gupta, Ashutosh, et al.. (2024). TRANS-VQA: Fully Transformer-Based Image Question-Answering Model Using Question-guided Vision Attention. INTELIGENCIA ARTIFICIAL. 27(73). 111–128. 6 indexed citations
4.
Kumari, P. Preethi, et al.. (2024). Mesomorphic thermal stabilities and nonlinear optical properties of fluorine containing liquid crystals. SHILAP Revista de lepidopterología. 6(10). 3 indexed citations
5.
Mehrabi, Ninareh, Palash Goyal, Kai-Wei Chang, et al.. (2024). Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. 1739–1756. 5 indexed citations
6.
Sun, Zhewei, et al.. (2024). Toward Informal Language Processing: Knowledge of Slang in Large Language Models. 1683–1701. 4 indexed citations
7.
8.
Gupta, Ashutosh, Rohan Samant, Rodrigo Hasbun, et al.. (2023). Idiopathic Hypertrophic Spinal Pachymeningitis. Journal of Medical Cases. 14(12). 405–412. 1 indexed citations
9.
Gupta, Umang, Varun Kumar, Yada Pruksachatkun, et al.. (2022). Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. Findings of the Association for Computational Linguistics: ACL 2022. 658–678. 16 indexed citations
10.
Gupta, Ashutosh, et al.. (2022). BERT based Hierarchical Alternating Co-Attention Visual Question Answering using Bottom-Up Features. International Journal of Intelligent Systems and Applications in Engineering. 1 indexed citations
11.
Passban, Peyman, et al.. (2022). Training Mixed-Domain Translation Models via Federated Learning. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2576–2586. 7 indexed citations
12.
Singh, Sachin, et al.. (2021). Comparative Study of Different Tokenization Strategies for Streaming End-to-End ASR. 388–394. 1 indexed citations
13.
Gupta, Ashutosh, et al.. (2019). Sentiment Analysis of Twitter Posts using Machine Learning Algorithms. International Conference on Computing for Sustainable Global Development. 980–983. 6 indexed citations
14.
Alam, Shadab, et al.. (2019). A Comparative Study of Gender Classification using Fingerprints. International Conference on Computing for Sustainable Global Development.
15.
Jain, Arti, et al.. (2018). Mining Application on Analyzing Users’ Interests from Twitter. SSRN Electronic Journal. 3 indexed citations
16.
Gupta, Ashutosh, et al.. (2016). Secure algorithm for cloud computing and its applications. 188–192. 15 indexed citations
17.
Gupta, Ashutosh, et al.. (2012). Analysing the Parameters of Chaos Based Image Encryption Schemes - TI Journals. 1 indexed citations
18.
Gupta, Ashutosh, et al.. (2012). HSF(C): A Software Verifier Based on Horn Clauses (Competition Contribution). 549–551. 11 indexed citations
19.
Gupta, Ashutosh, et al.. (2009). Finding heap-bounds for hardware synthesis. UCL Discovery (University College London).
20.
Gupta, Ashutosh & Suneeta Agarwal. (2007). New Transform for Improving Compression Performance in Natural Language Text.. International MultiConference of Engineers and Computer Scientists. 564–567. 1 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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