Utkarsh Sinha

636 total citations · 1 hit paper
9 papers, 330 citations indexed

About

Utkarsh Sinha is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Utkarsh Sinha has authored 9 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Biomedical Engineering and 3 papers in Mechanical Engineering. Recurrent topics in Utkarsh Sinha's work include Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (3 papers) and Gait Recognition and Analysis (3 papers). Utkarsh Sinha is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (3 papers) and Gait Recognition and Analysis (3 papers). Utkarsh Sinha collaborates with scholars based in India, United States and Israel. Utkarsh Sinha's co-authors include Ricardo Martin-Brualla, Keunhong Park, Dan B Goldman, Jonathan T. Barron, Steven M. Seitz, Peter Hedman, Sofien Bouaziz, Lei Zhang, Baoyuan Wang and Bivas Mitra and has published in prestigious journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and SPE Western Regional Meeting.

In The Last Decade

Utkarsh Sinha

7 papers receiving 320 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.

HyperNeRF

2021 319 citations Keunhong Park, Utkarsh Sinha et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Utkarsh Sinha India	3	278	174	144	28	22	9	330
Ruizhi Shao China	9	269 1.0×	127 0.7×	162 1.1×	32 1.1×	36 1.6×	20	327
Ang Cao United States	5	213 0.8×	130 0.7×	82 0.6×	19 0.7×	14 0.6×	11	273
Yuewen Ma China	6	172 0.6×	155 0.9×	121 0.8×	20 0.7×	14 0.6×	15	240
Alex Evans United Kingdom	5	173 0.6×	135 0.8×	109 0.8×	29 1.0×	21 1.0×	7	234
Ondřej Jamriška Czechia	10	333 1.2×	250 1.4×	150 1.0×	11 0.4×	39 1.8×	12	409
Stefan Hauswiesner Austria	9	195 0.7×	91 0.5×	96 0.7×	43 1.5×	28 1.3×	18	281
Tianchang Shen Canada	4	197 0.7×	180 1.0×	145 1.0×	15 0.5×	17 0.8×	7	265
Abhimitra Meka United States	9	278 1.0×	165 0.9×	99 0.7×	12 0.4×	24 1.1×	13	352
Borom Tunwattanapong United States	6	311 1.1×	176 1.0×	141 1.0×	11 0.4×	18 0.8×	12	350
Basile Van Hoorick United States	3	218 0.8×	139 0.8×	127 0.9×	20 0.7×	43 2.0×	3	310

Countries citing papers authored by Utkarsh Sinha

Since Specialization

Citations

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

Fields of papers citing papers by Utkarsh Sinha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Utkarsh Sinha

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

9 of 9 papers shown

1.

Sinha, Utkarsh, et al.. (2024). A Data-Driven Journey into Liquid Loading Detection and Prediction. SPE Western Regional Meeting.

2.

Sinha, Utkarsh, et al.. (2023). Hybrid Multiphase Rate Forecasting Model in Liquid Wells for Unconventional Reservoirs. SPE Western Regional Meeting. 1 indexed citations

3.

Sinha, Utkarsh, et al.. (2023). Physics-Augmented Data Driven Method to Detect and Quantify the Impact of Well Interference. 1 indexed citations

4.

Sinha, Utkarsh, et al.. (2022). My Mobile Knows That I am Driving! In-Vehicle (Relative) Blind Localization of a Smartphone. 494–499. 1 indexed citations

5.

Park, Keunhong, Utkarsh Sinha, Peter Hedman, et al.. (2021). HyperNeRF. ACM Transactions on Graphics. 40(6). 1–12. 319 indexed citations breakdown →

6.

Wang, Baoyuan, et al.. (2019). Real-Time Burst Photo Selection Using a Light-Head Adversarial Network. IEEE Transactions on Image Processing. 29. 3065–3077. 4 indexed citations

7.

Sinha, Utkarsh, et al.. (2013). Cluster based human action recognition using latent dirichlet allocation. 42. 1–4. 2 indexed citations

8.

Sinha, Utkarsh, et al.. (2013). Analysing gait sequences using Latent Dirichlet Allocation for certain human actions. 79. 1–4. 1 indexed citations

9.

Sinha, Utkarsh. (2011). Silhouette Based Human Motion Detection and Recognising their Actions from the Captured Video Streams. 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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