Kedar A. Patwardhan

932 total citations
25 papers, 598 citations indexed

About

Kedar A. Patwardhan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kedar A. Patwardhan has authored 25 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kedar A. Patwardhan's work include Video Surveillance and Tracking Methods (8 papers), Advanced Vision and Imaging (7 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Kedar A. Patwardhan is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Advanced Vision and Imaging (7 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Kedar A. Patwardhan collaborates with scholars based in United States, India and United Kingdom. Kedar A. Patwardhan's co-authors include Guillermo Sapiro, Marcelo Bertalmı́o, Nils Krahnstoever, Ser-Nam Lim, Vassilios Morellas, Ting Yu, Kunlin Cao, David M. Mills, Peter Tu and Ralf Thiele and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Annals of Oncology.

In The Last Decade

Kedar A. Patwardhan

25 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kedar A. Patwardhan United States	10	506	63	63	35	35	25	598
Fangyin Wei United States	8	220 0.4×	63 1.0×	24 0.4×	37 1.1×	51 1.5×	11	391
Liron Yatziv United States	7	502 1.0×	34 0.5×	78 1.2×	57 1.6×	46 1.3×	9	635
Harshith Goka United States	2	402 0.8×	45 0.7×	93 1.5×	45 1.3×	15 0.4×	2	506
Ricardo Fabbri Brazil	8	268 0.5×	40 0.6×	44 0.7×	32 0.9×	86 2.5×	15	441
Conglin Lu United States	6	301 0.6×	52 0.8×	39 0.6×	91 2.6×	26 0.7×	8	431
Kolmogorov United States	4	444 0.9×	38 0.6×	65 1.0×	81 2.3×	71 2.0×	4	520
Naejin Kong South Korea	6	574 1.1×	45 0.7×	111 1.8×	51 1.5×	27 0.8×	7	707
Mingdeng Cao China	8	381 0.8×	45 0.7×	52 0.8×	24 0.7×	19 0.5×	16	487
Zhentao Tan China	10	345 0.7×	61 1.0×	48 0.8×	25 0.7×	69 2.0×	24	483

Countries citing papers authored by Kedar A. Patwardhan

Since Specialization

Citations

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

Fields of papers citing papers by Kedar A. Patwardhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kedar A. Patwardhan. 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 Kedar A. Patwardhan. The network helps show where Kedar A. Patwardhan may publish in the future.

Co-authorship network of co-authors of Kedar A. Patwardhan

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

All Works

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20 of 20 papers shown

Patwardhan, Kedar A., et al.. (2024). Towards a survival risk prediction model for metastatic NSCLC patients on durvalumab using whole-lung CT radiomics. Frontiers in Immunology. 15. 1383644–1383644. 2 indexed citations

Corsi, Alessia, et al.. (2024). 1240MO Quantitative radiomics for the detection of symptomatic pneumonitis following chemoradiotherapy in patients with stage III unresectable NSCLC. Annals of Oncology. 35. S794–S794. 1 indexed citations

Patwardhan, Kedar A., et al.. (2018). Automated detection and segmentation of follicles in 3D ultrasound for assisted reproduction. 81. 67–67. 5 indexed citations

Patwardhan, Kedar A., et al.. (2017). EP27.03: Longitudinal volumetric analysis of follicular growth. Ultrasound in Obstetrics and Gynecology. 50(S1). 384–384. 1 indexed citations

Tiwari, Abhishek & Kedar A. Patwardhan. (2016). Mitral valve annulus localization in 3D echocardiography. PubMed. 2016. 1087–1090. 6 indexed citations

Cao, Kunlin, David M. Mills, Ralf Thiele, & Kedar A. Patwardhan. (2015). Toward Quantitative Assessment of Rheumatoid Arthritis Using Volumetric Ultrasound. IEEE Transactions on Biomedical Engineering. 63(2). 449–458. 16 indexed citations

Cao, Kunlin, et al.. (2015). Respiration induced fiducial motion tracking in ultrasound using an extended SFA approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9419. 94190S–94190S. 4 indexed citations

Patwardhan, Kedar A., Kunlin Cao, David M. Mills, & Ralf Thiele. (2012). Automated bone and joint-region segmentation in volumetric ultrasound. 25. 1327–1330. 6 indexed citations

Patwardhan, Kedar A.. (2012). Symmetry and appearance based automated detection of salient anatomical regions in ultrasound. PubMed. 2012. 4426–4428. 2 indexed citations

10.

Mills, David M., Kunlin Cao, Ralf Thiele, & Kedar A. Patwardhan. (2012). Volumetric ultrasound and computer-assisted analysis at the point-of-care: A musculoskeletal exemplar. PubMed. 8. 2318–2322. 3 indexed citations

11.

Patwardhan, Kedar A., et al.. (2012). 4D vessel segmentation and tracking in Ultrasound. 2317–2320. 4 indexed citations

12.

Lim, Ser-Nam, et al.. (2009). Monitoring, recognizing and discovering social networks. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 13 indexed citations

13.

Krahnstoever, Nils, Tao Yu, Kedar A. Patwardhan, & David Yang Gao. (2009). Multi-camera person tracking in crowded environments. 1–7. 6 indexed citations

14.

Krahnstoever, Nils, Peter Tu, Tao Yu, et al.. (2009). Intelligent Video for Protecting Crowded Sports Venues. 116–121. 4 indexed citations

15.

Yu, Ting, Ser-Nam Lim, Kedar A. Patwardhan, & Nils Krahnstoever. (2009). Monitoring, recognizing and discovering social networks. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1462–1469. 60 indexed citations

16.

Patwardhan, Kedar A., Guillermo Sapiro, & Vassilios Morellas. (2008). Robust Foreground Detection In Video Using Pixel Layers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(4). 746–751. 73 indexed citations

17.

Patwardhan, Kedar A., et al.. (2008). 3D priors for scene learning from a single view. 1–8. 4 indexed citations

18.

Patwardhan, Kedar A., Guillermo Sapiro, & Marcelo Bertalmı́o. (2007). Video Inpainting Under Constrained Camera Motion. IEEE Transactions on Image Processing. 16(2). 545–553. 175 indexed citations

19.

Patwardhan, Kedar A., Guillermo Sapiro, & Vassilios Morellas. (2007). A Graph-Based Foreground Representation and its Application in Example Based People Matching in Video. 0. V – 37. 7 indexed citations

20.

Patwardhan, Kedar A., Guillermo Sapiro, & Marcelo Bertalmı́o. (2005). Video inpainting of occluding and occluded objects. II–69. 99 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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