Nitish Padmanaban

1.1k citations
17 papers · 738 indexed · 1 hit paper · h-index 8
Topics
Advanced Optical Imaging Technologies (13 papers)Virtual Reality Applications and Impacts (8 papers)Advanced Vision and Imaging (6 papers)

In The Last Decade

Nitish Padmanaban

14 papers receiving 657 citations

Hit Papers

Neural holography with camera-in-the-loop training2020202620222024202050100150200250

Peers

Nitish Padmanaban
Comparison fields: 5 of 59
  • Media Technology 526
  • Human-Computer Interaction 314
  • Computer Vision and Pattern Recognition 306
  • Atomic and Molecular Physics, and Optics 264
  • Cognitive Neuroscience 137
Replace Praneeth Chakravarthula with:
Praneeth Chakravarthula United States
Andreas Georgiou United Kingdom
Youngmo Jeong South Korea
Hisayuki Sasaki Japan
Byounghyo Lee South Korea
Makoto Okui Japan
Yan Xing China
Gregg E. Favalora United States
Jiwoon Yeom South Korea
Jonghyun Kim South Korea
Nitish Padmanaban relative to Praneeth Chakravarthula United States Praneeth Chakravarthula's profile →
Citations per field
00.5×11.7×
Praneeth Chakravarthula · 1×
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-authorship network of co-authors of Nitish Padmanaban

This figure shows the co-authorship network connecting the top 25 collaborators of Nitish Padmanaban. A scholar is included among the top collaborators of Nitish Padmanaban 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 Nitish Padmanaban. Nitish Padmanaban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1
Neural holography with camera-in-the-loop trainingbreakdown →
290
2 29
3 14
4 0
5 59
6 25
7 4
8 83
9 7
10 1
11 2
12 3
13 145
14 71
15 1
16 4
17 0

About Nitish Padmanaban

Nitish Padmanaban is a scholar working on Human-Computer Interaction, Media Technology and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 738 indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (13 papers), Virtual Reality Applications and Impacts (8 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Media Technology (526 citations), Human-Computer Interaction (314 citations) and Acoustics and Ultrasonics (17 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, Anthony M. Norcia, Vincent Sitzmann, Jonghyun Kim, Justin Konkle and Patrick Goodwill. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Advances and ACM Transactions on Graphics.

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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