Achuta Kadambi

2.6k total citations · 2 hit papers
49 papers, 1.5k citations indexed

About

Achuta Kadambi is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Biomedical Engineering. According to data from OpenAlex, Achuta Kadambi has authored 49 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 17 papers in Instrumentation and 11 papers in Biomedical Engineering. Recurrent topics in Achuta Kadambi's work include Advanced Optical Sensing Technologies (17 papers), Advanced Vision and Imaging (14 papers) and Optical measurement and interference techniques (14 papers). Achuta Kadambi is often cited by papers focused on Advanced Optical Sensing Technologies (17 papers), Advanced Vision and Imaging (14 papers) and Optical measurement and interference techniques (14 papers). Achuta Kadambi collaborates with scholars based in United States, New Zealand and Russia. Achuta Kadambi's co-authors include Ramesh Raskar, Boxin Shi, Vage Taamazyan, Ayush Bhandari, Adrian A. Dorrington, Refael Whyte, Athina Papadopoulou, Wei Zhao, Carlos Olguin and Daniel Dikovsky and has published in prestigious journals such as Science, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Achuta Kadambi

45 papers receiving 1.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Active Printed Materials for Complex Self-Evolving Deformations

2014 434 citations Achuta Kadambi, Ramesh Raskar et al. profile →
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields

2024 49 citations Shijie Zhou, Zehao Zhu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Achuta Kadambi United States	16	648	557	544	322	198	49	1.5k
Jing Han China	19	257 0.4×	869 1.6×	232 0.4×	637 2.0×	146 0.7×	144	1.9k
Lianfa Bai China	20	202 0.3×	509 0.9×	183 0.3×	450 1.4×	127 0.6×	150	1.4k
Dan Raviv Israel	15	336 0.5×	399 0.7×	83 0.2×	325 1.0×	209 1.1×	45	1.1k
Mengchao Ma China	21	346 0.5×	527 0.9×	66 0.1×	334 1.0×	20 0.1×	121	1.6k
Jason Geng United States	12	300 0.5×	1.0k 1.8×	209 0.4×	228 0.7×	35 0.2×	20	2.0k
Heng Wu China	22	461 0.7×	481 0.9×	45 0.1×	257 0.8×	20 0.1×	157	1.6k
Jindong Tian China	25	242 0.4×	686 1.2×	34 0.1×	287 0.9×	1.0k 5.2×	132	2.2k
Liangyong Wang China	16	382 0.6×	509 0.9×	25 0.0×	293 0.9×	23 0.1×	49	1.8k
C. Wykes United Kingdom	14	411 0.6×	723 1.3×	21 0.0×	768 2.4×	167 0.8×	42	1.9k

Countries citing papers authored by Achuta Kadambi

Since Specialization

Citations

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

Fields of papers citing papers by Achuta Kadambi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Achuta Kadambi

This figure shows the co-authorship network connecting the top 25 collaborators of Achuta Kadambi. A scholar is included among the top collaborators of Achuta Kadambi 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 Achuta Kadambi. Achuta Kadambi 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:

20 of 20 papers shown

1.

Kadambi, Achuta, et al.. (2025). Personalized Restoration via Dual-Pivot Tuning. IEEE Transactions on Image Processing. 34. 5257–5270.

2.

Alaluf, Yuval, et al.. (2025). InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention. 1–10.

3.

Kadambi, Achuta, et al.. (2025). Modern Approaches for Thoracic Image Registration and Respiratory Motion Management in Oncology. Radiology Imaging Cancer. 7(5). e250023–e250023.

4.

Zhou, Shijie, et al.. (2024). Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields. 21676–21685. 49 indexed citations breakdown →

5.

Zhang, Zhaoyang, et al.. (2024). All-day Depth Completion. 9425–9431. 1 indexed citations

6.

Jalilian, Laleh, et al.. (2022). Blending camera and 77 GHz radar sensing for equitable, robust plethysmography. ACM Transactions on Graphics. 41(4). 1–14. 13 indexed citations

7.

Patwa, Parth, et al.. (2022). Synthetic Generation of Face Videos with Plethysmograph Physiology. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20555–20564. 24 indexed citations

8.

Taamazyan, Vage, et al.. (2020). Deep Polarization Cues for Transparent Object Segmentation. 8599–8608. 88 indexed citations

9.

Chen, Rui, et al.. (2019). Physics-based Neural Networks for Shape from Polarization.. arXiv (Cornell University). 6 indexed citations

10.

Raskar, Ramesh, et al.. (2019). Thermal Non-Line-of-Sight Imaging. 1–11. 39 indexed citations

11.

Kadambi, Achuta, Vage Taamazyan, Boxin Shi, & Ramesh Raskar. (2017). Depth Sensing Using Geometrically Constrained Polarization Normals. DSpace@MIT (Massachusetts Institute of Technology). 3 indexed citations

12.

Kadambi, Achuta & Ramesh Raskar. (2017). Rethinking Machine Vision Time of Flight With GHz Heterodyning. IEEE Access. 5. 26211–26223. 12 indexed citations

13.

Kadambi, Achuta, Hang Zhao, Boxin Shi, & Ramesh Raskar. (2016). Occluded Imaging with Time-of-Flight Sensors. ACM Transactions on Graphics. 35(2). 1–12. 80 indexed citations

14.

Park, Ilwoo, Cornelius von Morze, Janine Lupo, et al.. (2016). Investigating tumor perfusion by hyperpolarized ¹³C MRI with comparison to conventional gadolinium contrast‐enhanced MRI and pathology in orthotopic human GBM xenografts. Magnetic Resonance in Medicine. 77(2). 841–847. 8 indexed citations

15.

Kadambi, Achuta & Petros T. Boufounos. (2015). Coded aperture compressive 3-D LIDAR. 32. 1166–1170. 5 indexed citations

16.

Bhandari, Ayush, Shahram Izadi, Achuta Kadambi, Ramesh Raskar, & Vage Taamazyan. (2015). Computational 3D imaging. 1–1. 1 indexed citations

17.

Kadambi, Achuta, Ayush Bhandari, Refael Whyte, Adrian A. Dorrington, & Ramesh Raskar. (2014). Demultiplexing illumination via low cost sensing and nanosecond coding. 1–10. 11 indexed citations

18.

Izadi, Shahram, Ayush Bhandari, Achuta Kadambi, & Ramesh Raskar. (2014). 3D imaging with time of flight cameras. 1–254. 1 indexed citations

19.

Bhandari, Ayush, Achuta Kadambi, Refael Whyte, et al.. (2013). Resolving Multi-path Interference in Time-of-Flight Imaging via Modulation Frequency Diversity and Sparse Regularization. 103 indexed citations

20.

Bhandari, Ayush, Achuta Kadambi, Refael Whyte, et al.. (2013). Multifrequency time of flight in the context of transient renderings. 1–1. 5 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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