Nikhil Keetha

736 total citations · 2 hit papers
7 papers, 305 citations indexed

About

Nikhil Keetha is a scholar working on Aerospace Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Nikhil Keetha has authored 7 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Aerospace Engineering, 1 paper in Automotive Engineering and 1 paper in Control and Systems Engineering. Recurrent topics in Nikhil Keetha's 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). Nikhil Keetha is often cited by papers focused on Robotics and Sensor-Based Localization (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Automated Road and Building Extraction (1 paper). Nikhil Keetha collaborates with scholars based in United States, India and Austria. Nikhil Keetha's 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 and has published in prestigious journals such as Scientific Data, IEEE Robotics and Automation Letters and Diagnostics.

In The Last Decade

Nikhil Keetha

5 papers receiving 299 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2024 126 citations Nikhil Keetha, Jay Karhade et al. profile →
ConceptFusion: Open-set multimodal 3D mapping

2023 100 citations Krishna Murthy Jatavallabhula, Qiao Gu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nikhil Keetha United States	4	192	149	40	35	30	7	305
Andrew J. Davison United Kingdom	6	127 0.7×	129 0.9×	20 0.5×	34 1.0×	33 1.1×	13	221
Han Ma Hong Kong	9	212 1.1×	120 0.8×	25 0.6×	27 0.8×	14 0.5×	25	305
Riku Murai United Kingdom	4	102 0.5×	105 0.7×	18 0.5×	29 0.8×	30 1.0×	5	183
Antoni Rosinol United States	4	185 1.0×	200 1.3×	14 0.3×	51 1.5×	35 1.2×	5	281
Tristan Laidlow United Kingdom	6	280 1.5×	146 1.0×	36 0.9×	77 2.2×	8 0.3×	8	370
Jingwen Wang China	6	191 1.0×	219 1.5×	12 0.3×	79 2.3×	30 1.0×	11	297
Dibet Garcia Gonzalez Portugal	6	136 0.7×	65 0.4×	46 1.1×	42 1.2×	12 0.4×	16	259
Hidenobu Matsuki United Kingdom	5	113 0.6×	143 1.0×	9 0.2×	46 1.3×	31 1.0×	7	211
Kun Yan China	10	164 0.9×	97 0.7×	36 0.9×	27 0.8×	11 0.4×	25	240
Jonathan D. Gammell United Kingdom	9	213 1.1×	164 1.1×	38 0.9×	33 0.9×	15 0.5×	24	273

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

He, Hongmei, et al.. (2025). RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration. 5930–5937.

2.

Ghosh, Sourish, et al.. (2025). Image, speech, and ADS-B trajectory datasets for terminal airspace operations. Scientific Data. 12(1). 468–468.

3.

Keetha, Nikhil, Jay Karhade, Krishna Murthy Jatavallabhula, et al.. (2024). SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM. 21357–21366. 126 indexed citations breakdown →

4.

Martinꝉ, Roland, Clement Fung, Nikhil Keetha, Lujo Bauer, & Sebastian Scherer. (2024). Targeted Image Transformation for Improving Robustness in Long Range Aircraft Detection. 10431–10438. 1 indexed citations

5.

Annavarapu, Chandra Sekhara Rao, et al.. (2023). A Bi-FPN-Based Encoder–Decoder Model for Lung Nodule Image Segmentation. Diagnostics. 13(8). 1406–1406. 14 indexed citations

6.

Jatavallabhula, Krishna Murthy, Qiao Gu, Ganesh Iyer, et al.. (2023). ConceptFusion: Open-set multimodal 3D mapping. 100 indexed citations breakdown →

7.

Keetha, Nikhil, Jay Karhade, Krishna Murthy Jatavallabhula, et al.. (2023). AnyLoc: Towards Universal Visual Place Recognition. IEEE Robotics and Automation Letters. 9(2). 1286–1293. 64 indexed citations

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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