Subhro Roy

1.3k total citations
25 papers, 741 citations indexed

About

Subhro Roy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Subhro Roy has authored 25 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Subhro Roy's work include Topic Modeling (20 papers), Natural Language Processing Techniques (17 papers) and Multimodal Machine Learning Applications (5 papers). Subhro Roy is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (17 papers) and Multimodal Machine Learning Applications (5 papers). Subhro Roy collaborates with scholars based in United States, India and United Kingdom. Subhro Roy's co-authors include Dan Roth, Tim Vieira, Aida Amini, Nate Kushman, Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Benjamin Van Durme, Charles Chen, Emmanouil Antonios Platanios and Jason Eisner and has published in prestigious journals such as The International Journal of Robotics Research, Algorithmica and Transactions of the Association for Computational Linguistics.

In The Last Decade

Subhro Roy

23 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhro Roy United States 11 645 147 137 65 30 25 741
Gjorgji Madjarov North Macedonia 9 522 0.8× 179 1.2× 208 1.5× 32 0.5× 5 0.2× 18 686
Yuanfei Dai China 7 279 0.4× 57 0.4× 78 0.6× 55 0.8× 12 0.4× 18 412
Javad Azimi United States 9 225 0.3× 57 0.4× 117 0.9× 59 0.9× 11 0.4× 19 353
Bharath K. Samanthula United States 10 521 0.8× 232 1.6× 75 0.5× 65 1.0× 8 0.3× 45 649
Christian Muise Canada 14 559 0.9× 39 0.3× 72 0.5× 161 2.5× 27 0.9× 45 653
Tian Gao United States 12 264 0.4× 52 0.4× 61 0.4× 50 0.8× 16 0.5× 37 351
Chenyang Bu China 12 319 0.5× 60 0.4× 55 0.4× 125 1.9× 20 0.7× 54 436
Joachim Jansen Belgium 5 172 0.3× 66 0.4× 66 0.5× 16 0.2× 20 0.7× 8 299
Shubho Sengupta United States 7 191 0.3× 153 1.0× 125 0.9× 34 0.5× 13 0.4× 13 447
Jo Devriendt Belgium 5 181 0.3× 54 0.4× 65 0.5× 26 0.4× 9 0.3× 10 300

Countries citing papers authored by Subhro Roy

Since Specialization
Citations

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

Fields of papers citing papers by Subhro Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhro Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Subhro Roy. A scholar is included among the top collaborators of Subhro Roy 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 Subhro Roy. Subhro Roy 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.
Mishra, Swaroop, et al.. (2023). InstructExcel: A Benchmark for Natural Language Instruction in Excel. 4026–4043.
2.
Wolfe, Jason, et al.. (2023). ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models. 5792–5799. 3 indexed citations
3.
Ali, M. M., et al.. (2023). An approach to investigate the structural, morphological, and optical properties of spray pyrolyzed B and Mg co-doped ZnO thin films. Results in Materials. 19. 100409–100409. 8 indexed citations
4.
Yang, Kevin, et al.. (2022). Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. Findings of the Association for Computational Linguistics: ACL 2022. 3685–3695. 6 indexed citations
5.
Andreas, Jacob, Emmanouil Antonios Platanios, Sam Thomson, et al.. (2022). Guided K-best Selection for Semantic Parsing Annotation. 114–126.
6.
Shin, Richard, Sam Thomson, Charles Chen, et al.. (2021). Constrained Language Models Yield Few-Shot Semantic Parsers. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7699–7715. 87 indexed citations
7.
Platanios, Emmanouil Antonios, Adam Pauls, Subhro Roy, et al.. (2021). Value-Agnostic Conversational Semantic Parsing. 3666–3681. 8 indexed citations
8.
Noseworthy, Michael D., Rohan Paul, Subhro Roy, Daehyung Park, & Nicholas Roy. (2019). Task-Conditioned Variational Autoencoders for Learning Movement Primitives. 933–944. 4 indexed citations
9.
Park, Daehyung, Michael D. Noseworthy, Rohan Paul, Subhro Roy, & Nicholas Roy. (2019). Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning. 1005–1014. 4 indexed citations
10.
Roy, Subhro, Michael D. Noseworthy, Rohan Paul, Daehyung Park, & Nicholas Roy. (2019). Leveraging Past References for Robust Language Grounding. 6 indexed citations
11.
Nyga, Daniel, Subhro Roy, Rohan Paul, et al.. (2018). Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge. 714–723. 15 indexed citations
12.
Roy, Subhro & Dan Roth. (2018). Mapping to Declarative Knowledge for Word Problem Solving. Transactions of the Association for Computational Linguistics. 6. 159–172. 58 indexed citations
13.
Roy, Subhro, Shyam Upadhyay, & Dan Roth. (2016). Equation Parsing : Mapping Sentences to Grounded Equations. 20 indexed citations
14.
Koncel-Kedziorski, Rik, Subhro Roy, Aida Amini, Nate Kushman, & Hannaneh Hajishirzi. (2016). MAWPS: A Math Word Problem Repository. 1152–1157. 121 indexed citations
15.
Har-Peled, Sariel & Subhro Roy. (2016). Approximating the Maximum Overlap of Polygons under Translation. Algorithmica. 78(1). 147–165. 5 indexed citations
16.
Roy, Subhro & Dan Roth. (2015). Solving General Arithmetic Word Problems. 1743–1752. 165 indexed citations
17.
Sammons, Mark, Haoruo Peng, Yangqiu Song, et al.. (2015). Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems. Theory and applications of categories. 9 indexed citations
18.
Roy, Subhro, Tim Vieira, & Dan Roth. (2015). Reasoning about Quantities in Natural Language. Transactions of the Association for Computational Linguistics. 3. 1–13. 85 indexed citations
19.
Schwartz, Lane, Sean Massung, Yisi Liu, et al.. (2015). The University of Illinois submission to the WMT 2015 Shared Translation Task. 192–198. 1 indexed citations
20.
Xiao, Cheng, Kai-Wei Chang, Mark Sammons, et al.. (2013). Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems. Theory and applications of categories. 2 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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