Piyush Sharma

2.0k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Piyush Sharma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Piyush Sharma has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Hardware and Architecture. Recurrent topics in Piyush Sharma's work include Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Piyush Sharma is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Piyush Sharma collaborates with scholars based in United States, India and China. Piyush Sharma's co-authors include Radu Soricut, Nan Ding, Sebastian Goodman, Maxwell Forbes, Serge Belongie, Soravit Changpinyo, Song‐Chun Zhu, Bo Pang, Arjun Akula and Boqing Gong and has published in prestigious journals such as arXiv (Cornell University), Lirias (KU Leuven) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Piyush Sharma

8 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning

2018 1.0k citations Piyush Sharma, Nan Ding et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Piyush Sharma United States	4	907	707	26	18	17	10	1.1k
Sebastian Goodman United States	2	875 1.0×	684 1.0×	25 1.0×	15 0.8×	16 0.9×	2	1.0k
Antoine Miech France	8	981 1.1×	515 0.7×	13 0.5×	25 1.4×	55 3.2×	11	1.1k
Youngjae Yu South Korea	14	665 0.7×	475 0.7×	7 0.3×	6 0.3×	49 2.9×	35	852
Karl Stratos United States	16	496 0.5×	697 1.0×	4 0.2×	6 0.3×	34 2.0×	38	947
Yash Goyal India	7	1.0k 1.1×	898 1.3×	8 0.3×	6 0.3×	13 0.8×	13	1.2k
Chenhui Chu Japan	14	286 0.3×	604 0.9×	17 0.7×	21 1.2×	42 2.5×	92	755
Zuchao Li China	18	291 0.3×	891 1.3×	14 0.5×	13 0.7×	23 1.4×	73	1.0k
Wangchunshu Zhou China	14	174 0.2×	382 0.5×	18 0.7×	5 0.3×	16 0.9×	37	476
Vedanuj Goswami United States	7	421 0.5×	410 0.6×	7 0.3×	5 0.3×	27 1.6×	13	581
Puji Anto Indonesia	8	181 0.2×	182 0.3×	14 0.5×	23 1.3×	26 1.5×	31	371

Countries citing papers authored by Piyush Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Piyush Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piyush Sharma

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

10 of 10 papers shown

1.

Sharma, Piyush, et al.. (2025). LAMP: Lightweight Approaches for Latency Minimization in Mixnets with Practical Deployment Considerations. Lirias (KU Leuven).

2.

Sharma, Piyush, et al.. (2024). LARMix: Latency-Aware Routing in Mix Networks. Lirias (KU Leuven). 2 indexed citations

3.

Sharma, Piyush, et al.. (2023). Image Colorization Enhancement Techniques using Deep Convolutional GANs. 576–583.

4.

Akula, Arjun, Soravit Changpinyo, Boqing Gong, et al.. (2021). CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2148–2166. 13 indexed citations

5.

Sharma, Piyush, et al.. (2021). COSMic: A Coherence-Aware Generation Metric for Image Descriptions. arXiv (Cornell University). 3419–3430. 1 indexed citations

6.

Chandu, Khyathi Raghavi, Piyush Sharma, Soravit Changpinyo, Ashish Thapliyal, & Radu Soricut. (2020). Weakly Supervised Content Selection for Improved Image Captioning. 1 indexed citations

7.

Forbes, Maxwell, et al.. (2019). Neural Naturalist: Generating Fine-Grained Image Comparisons. 708–717. 23 indexed citations

8.

Changpinyo, Soravit, Bo Pang, Piyush Sharma, & Radu Soricut. (2019). Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering. 1468–1474. 7 indexed citations

9.

Sharma, Piyush, Nan Ding, Sebastian Goodman, & Radu Soricut. (2018). Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning. 2556–2565. 1004 indexed citations breakdown →

10.

Sharma, Piyush, et al.. (2018). Image-Audio Encoding for Information Camouflage and Improving Malware Pattern Analysis. 10. 1059–1064. 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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