Nikhil Keetha

736 citations
7 papers · 305 indexed · 2 hit papers · h-index 4
Topics
Robotics and Sensor-Based Localization (3 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)Automated Road and Building Extraction (1 paper)

In The Last Decade

Nikhil Keetha

5 papers receiving 299 citations

Hit Papers

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D ...2023202620242025202420234080120

Peers

Nikhil Keetha
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 192
  • Aerospace Engineering 149
  • Artificial Intelligence 40
  • Geology 35
  • Mechanical Engineering 30
Replace Andrew J. Davison with:
Andrew J. Davison United Kingdom
Jean Lahoud United Arab Emirates
Riku Murai United Kingdom
Oliver Wasenmüller Germany
Hidenobu Matsuki United Kingdom
Xuanyao Chen China
Antoni Rosinol United States
Jingwen Wang China
Dibet Garcia Gonzalez Portugal
Anna Vorontsova United States
Nikhil Keetha relative to Andrew J. Davison United Kingdom Andrew J. Davison's profile →
Citations per field
00.5×1.5×2.1×
Andrew J. Davison · 1×
Citations per year

Countries citing papers authored by Nikhil Keetha

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Keetha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Keetha

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 0
3
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAMbreakdown →
126
4 1
5 14
6
ConceptFusion: Open-set multimodal 3D mappingbreakdown →
100
7 64

About Nikhil Keetha

Nikhil Keetha is a scholar working on Aerospace Engineering, Geography, Planning and Development and Geology, having authored 7 papers that have together received 305 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Automated Road and Building Extraction (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (192 citations), Geology (35 citations) and Aerospace Engineering (149 citations). Nikhil Keetha has collaborated with scholars based in United States, India and Austria. Frequent co-authors include Krishna Murthy Jatavallabhula, Jay Karhade, Sebastian Scherer, Jonathon Luiten, Deva Ramanan, K. Madhava Krishna, Sourav Garg, Ayush Tewari, Ganesh Iyer and Antonio Torralba. Their work appears in journals such as Scientific Data, IEEE Robotics and Automation Letters and Diagnostics.

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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