Nitish Padmanaban

1.1k citations
17 papers · 775 · 1 hit paper · h-index 8

Impact in

Papers in

Nitish Padmanaban

14 papers receiving 689 citations

Nitish Padmanaban's Hit Papers

Neural holography with camera-in-the-loop training 2020 · 314 citations
3140+2+4Years since publication100200300

Peers

Nitish Padmanaban
Comparison fields: 5 of 58
  • Media Technology 553
  • Human-Computer Interaction 321
  • Acoustics and Ultrasonics 18
  • Computer Vision and Pattern Recognition 318
  • Computer Graphics and Computer-Aided Design 42
Replace Phil Surman with:
Phil Surman United Kingdom
Gregg E. Favalora United States
Andreas Georgiou United Kingdom
Praneeth Chakravarthula United States
Hisayuki Sasaki Japan
Makoto Okui Japan
Yan Xing China
Byounghyo Lee South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Nitish Padmanaban

Since Specialization
Citations

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

Fields of papers citing papers by Nitish Padmanaban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Nitish Padmanaban, 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 Nitish Padmanaban Line = papers co-authored together Nitish Padmanaban links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Neural holography with camera-in-the-loop training
Hit paper breakdown →
2020314
2 2017145
3 201884
4 201772
5 201964
6 202031
7 201927
8 202014
9 20187
10 20196
11 20164
12 20173
13 20172
14 20171
15 20171
16 20200
17 20150

About Nitish Padmanaban

Nitish Padmanaban is a scholar working on Media Technology, Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics, having authored 17 papers that have together received 775 indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (13 papers), Virtual Reality Applications and Impacts (8 papers), Advanced Vision and Imaging (6 papers), Digital Holography and Microscopy (4 papers), Visual perception and processing mechanisms (4 papers), Tactile and Sensory Interactions (3 papers), Ophthalmology and Visual Impairment Studies (3 papers) and Augmented Reality Applications (2 papers). The work is most often cited by research in Media Technology (553 citations), Human-Computer Interaction (321 citations), Acoustics and Ultrasonics (18 citations), Computer Vision and Pattern Recognition (318 citations) and Computer Graphics and Computer-Aided Design (42 citations). Nitish Padmanaban has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Gordon Wetzstein, Yifan Peng, Suyeon Choi, Robert Konrad, Emily A. Cooper, Vincent Sitzmann, Anthony M. Norcia, Jonghyun Kim, Steven Conolly and Hayato Ikoma. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, Proceedings of the National Academy of Sciences, Science Advances and Frontiers in Optics / Laser Science.

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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