Utkarsh Sinha

677 citations
11 papers · 353 · 1 hit paper · h-index 3

Impact in

Papers in

Utkarsh Sinha

8 papers receiving 341 citations

Utkarsh Sinha's Hit Papers

HyperNeRF 2021 · 341 citations
3410+1+3Years since publication100200300

Peers

Utkarsh Sinha
Comparison fields: 5 of 42
  • Computer Graphics and Computer-Aided Design 181
  • Computer Vision and Pattern Recognition 287
  • Computational Mechanics 148
  • Geology 14
  • Instrumentation 6
Replace Ang Cao with:
Ang Cao United States
Basile Van Hoorick United States
Ruizhi Shao China
Giacomo Meanti Italy
Abhimitra Meka United States
Tianchang Shen Canada
Anpei Chen Germany
Keunhong Park United States
Taoran Yi China
Noha Radwan United States
Utkarsh Sinha relative to Ang Cao United States Ang Cao's profile →
Citations per field
00.5×8.7×
Ang Cao · 1×
Citations per year

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-authors

The 14 scholars most cited alongside Utkarsh Sinha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Utkarsh Sinha Line = papers co-authored together Utkarsh Sinha links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
HyperNeRF
Hit paper breakdown →
2021341
2 20194
3 20132
4 20231
5 20241
6 20231
7 20221
8
Silhouette Based Human Motion Detection and Recognising their Actions from the Captured Video Streams
20111
9 20131
10 20250
11 20250

About Utkarsh Sinha

Utkarsh Sinha is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Biomedical Engineering, Ocean Engineering and Control and Systems Engineering, having authored 11 papers that have together received 353 indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (4 papers), Drilling and Well Engineering (3 papers), Human Pose and Action Recognition (3 papers), Video Surveillance and Tracking Methods (3 papers), Gait Recognition and Analysis (3 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers), Mineral Processing and Grinding (2 papers) and Fluid Dynamics and Mixing (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (181 citations), Computer Vision and Pattern Recognition (287 citations), Computational Mechanics (148 citations), Geology (14 citations) and Instrumentation (6 citations). Utkarsh Sinha has collaborated with scholars based in India, United States and China. Frequent co-authors include Ricardo Martin-Brualla, Jonathan T. Barron, Dan B Goldman, Sofien Bouaziz, Keunhong Park, Peter Hedman, Steven M. Seitz, Baoyuan Wang, Sathish Sankaran and Lei Zhang. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Image Processing, SPE Western Regional Meeting and International Petroleum Technology Conference.

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.

Explore authors with similar magnitude of impact