Nikhil Naik
Impact in
- Acoustics and Ultrasonics top 2%
- Health Informatics top 1%
Papers in
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- Video Surveillance and Tracking Methods 6
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- Urban, Neighborhood, and Segregation Studies 8
- Co-authors
- Ramesh Raskar (19 shared papers)César A. Hidalgo (12 shared papers)Abhimanyu Dubey (4 shared papers)Andre Esteva (2 shared papers)Richard Socher (3 shared papers)Ali Madani (2 shared papers)Otkrist Gupta (3 shared papers)Ali Mottaghi (1 shared paper)
- Journals
- Optics Express (1 paper)Urban Forum (1 paper)Multimedia Tools and Applications (1 paper)Sociological Methodology (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Nikhil Naik
40 papers receiving 3.1k citations
Nikhil Naik's Hit Papers
Peers
Comparison fields: 5 of 184
- Acoustics and Ultrasonics 73
- Health Informatics 106
- Transportation 445
- Instrumentation 192
- Computer Vision and Pattern Recognition 882
Countries citing papers authored by Nikhil Naik
This map shows the geographic impact of Nikhil Naik'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 Nikhil Naik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Naik more than expected).
Fields of papers citing papers by Nikhil Naik
This network shows the impact of papers produced by Nikhil Naik. 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 Nikhil Naik. The network helps show where Nikhil Naik may publish in the future.
Co-authors
The 25 scholars most cited alongside Nikhil Naik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning-enabled medical computer vision Hit paper breakdown → | 2021 | 821 |
| 2 | Deep Learning the City: Quantifying Urban Perception at a Global Scale Hit paper breakdown → | 2016 | 349 |
| 3 | Streetscore -- Predicting the Perceived Safety of One Million Streetscapes Hit paper breakdown → | 2014 | 326 |
| 4 | 2017 | 244 | |
| 5 | 2016 | 220 | |
| 6 | 2017 | 213 | |
| 7 | 2020 | 173 | |
| 8 | 2018 | 167 | |
| 9 | 2016 | 78 | |
| 10 | 2015 | 68 | |
| 11 | 2011 | 64 | |
| 12 | 2023 | 63 | |
| 13 | 2011 | 61 | |
| 14 | 2016 | 43 | |
| 15 | 2015 | 36 | |
| 16 | 2016 | 31 | |
| 17 | 2018 | 24 | |
| 18 | 2023 | 24 | |
| 19 | 2015 | 18 | |
| 20 | 2023 | 17 |
About Nikhil Naik
Nikhil Naik is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Artificial Intelligence, Transportation and Instrumentation, having authored 45 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (8 papers), Urban, Neighborhood, and Segregation Studies (8 papers), Random lasers and scattering media (7 papers), Video Surveillance and Tracking Methods (6 papers), Urban Transport and Accessibility (5 papers), Land Use and Ecosystem Services (5 papers), Human Mobility and Location-Based Analysis (5 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (73 citations), Health Informatics (106 citations), Transportation (445 citations), Instrumentation (192 citations) and Computer Vision and Pattern Recognition (882 citations). Nikhil Naik has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Ramesh Raskar, César A. Hidalgo, Abhimanyu Dubey, Andre Esteva, Richard Socher, Ali Madani, Otkrist Gupta, Ali Mottaghi, Serena Yeung and Katherine Chou. Their work appears in journals such as Optics Express, Urban Forum, Multimedia Tools and Applications, Sociological Methodology and npj Digital Medicine.
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.