Kumar Rajamani

1.6k total citations
64 papers, 894 citations indexed

About

Kumar Rajamani is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Kumar Rajamani has authored 64 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 17 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computational Mechanics. Recurrent topics in Kumar Rajamani's work include Medical Image Segmentation Techniques (13 papers), Retinal Imaging and Analysis (8 papers) and Medical Imaging and Analysis (8 papers). Kumar Rajamani is often cited by papers focused on Medical Image Segmentation Techniques (13 papers), Retinal Imaging and Analysis (8 papers) and Medical Imaging and Analysis (8 papers). Kumar Rajamani collaborates with scholars based in India, United States and Germany. Kumar Rajamani's co-authors include Martin Styner, Lutz‐Peter Nolte, Rhodri Davies, Gábor Székely, Chris Taylor, Miguel Á. González Ballester, V. L. Lajish, Guoyan Zheng, Lutz P. Nolte and Mattias P. Heinrich‬ and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and IEEE Access.

In The Last Decade

Kumar Rajamani

59 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kumar Rajamani India 15 361 186 152 147 126 64 894
Hans Lamecker Germany 20 522 1.4× 486 2.6× 160 1.1× 64 0.4× 301 2.4× 55 1.2k
Celina Imielińska United States 13 419 1.2× 131 0.7× 34 0.2× 118 0.8× 140 1.1× 44 1.1k
Rhodri Davies United Kingdom 19 706 2.0× 341 1.8× 321 2.1× 48 0.3× 169 1.3× 65 1.5k
Mathieu De Craene Spain 21 361 1.0× 351 1.9× 78 0.5× 64 0.4× 153 1.2× 82 1.6k
Shireen Elhabian United States 12 490 1.4× 116 0.6× 63 0.4× 40 0.3× 91 0.7× 93 805
Matthew McCormick United States 17 147 0.4× 332 1.8× 39 0.3× 91 0.6× 146 1.2× 54 1.0k
U. Tiede Germany 24 924 2.6× 536 2.9× 417 2.7× 39 0.3× 438 3.5× 66 1.8k
Ihar Volkau Singapore 15 229 0.6× 163 0.9× 33 0.2× 58 0.4× 71 0.6× 29 533
Jianhuang Wu China 21 380 1.1× 231 1.2× 134 0.9× 91 0.6× 243 1.9× 74 1.3k
Charl P. Botha Netherlands 14 370 1.0× 93 0.5× 100 0.7× 35 0.2× 123 1.0× 62 715

Countries citing papers authored by Kumar Rajamani

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Rajamani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumar Rajamani

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

All Works

20 of 20 papers shown
1.
Nayak, Jhasaketan, et al.. (2024). Outcome of Childhood and Adolescents and Young Adults ALL Treated with ALL IC-BFM 2009 Protocol–A Single-Center Experience in India. Indian Journal of Hematology and Blood Transfusion. 41(3). 494–503.
2.
Rajamani, Kumar, et al.. (2023). Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation. IEEE Access. 11. 95334–95345. 3 indexed citations
3.
Rajamani, Kumar, et al.. (2023). A novel and simple approach to regularise attention frameworks and its efficacy in segmentation. PubMed. 2023. 1–4. 1 indexed citations
4.
Rajamani, Kumar, et al.. (2020). Emotion and Theme Recognition in Music Using Attention-Based Methods.. OPUS (Augsburg University). 1 indexed citations
5.
Rajamani, Kumar, et al.. (2018). Asymmetries in force matching are related to side of stroke in right-handed individuals. Neuroscience Letters. 683. 144–149. 4 indexed citations
6.
Ibrahim, Mohammad, et al.. (2017). Apixaban for the treatment of cerebral venous thrombosis: A case series. Journal of the Neurological Sciences. 381. 318–320. 26 indexed citations
7.
Lajish, V. L., et al.. (2016). A Novel Skull Stripping and Enhancement Algorithm for the Improved Brain Tumor Segmentation using Mathematical Morphology. International Journal of Image Graphics and Signal Processing. 8(7). 59–66. 11 indexed citations
8.
9.
Santhakumar, R, et al.. (2015). Novel method for automatic generation of fundus mask. 21. 147–151. 4 indexed citations
10.
Bhattacharya, Pratik, et al.. (2012). Early use of MRI improves diagnostic accuracy in young adults with stroke. Journal of the Neurological Sciences. 324(1-2). 62–64. 16 indexed citations
11.
Rajamani, Kumar, et al.. (2011). Thrombolysis for Acute Ischemic Stroke in Joint Commission–certified and –noncertified Hospitals in Michigan. Journal of Stroke and Cerebrovascular Diseases. 22(1). 49–54. 20 indexed citations
12.
Rajamani, Kumar, et al.. (2007). Statistical deformable bone models for robust 3D surface extrapolation from sparse data. Medical Image Analysis. 11(2). 99–109. 86 indexed citations
13.
Zheng, Guoyan, Kumar Rajamani, Xuan Zhang, et al.. (2007). Accurate and Robust Reconstruction of a Surface Model of the Proximal Femur From Sparse-Point Data and a Dense-Point Distribution Model for Surgical Navigation. IEEE Transactions on Biomedical Engineering. 54(12). 2109–2122. 40 indexed citations
14.
Rajamani, Kumar, et al.. (2005). A comparison study assessing the feasibility of ultrasound-initialized deformable bone models. Computer Aided Surgery. 10(5-6). 293–299. 4 indexed citations
15.
Rajamani, Kumar, et al.. (2005). A comparison study assessing the feasibility of ultrasound-initialized deformable bone models. Computer Aided Surgery. 10(5-6). 293–299. 12 indexed citations
16.
Rajamani, Kumar, et al.. (2005). Evaluation and Initial Validation Studies of Anatomical Structure Morphing. PubMed. 14. 3276–3279. 2 indexed citations
17.
Rajamani, Kumar, Miguel Á. González Ballester, Lutz‐Peter Nolte, & Martin Styner. (2005). A novel and stable approach to anatomical structure morphing for enhanced intraoperative 3D visualization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5744. 718–718. 14 indexed citations
18.
Styner, Martin, Kumar Rajamani, Lutz‐Peter Nolte, et al.. (2003). Evaluation of 3D Correspondence Methods for Model Building. Lecture notes in computer science. 18. 63–75. 211 indexed citations
19.
Rajamani, Kumar, et al.. (2003). 10 Most Commonly Asked Questions About Intracerebral and Intraventricular Hemorrhage. The Neurologist. 9(4). 214–219. 1 indexed citations
20.
Rajamani, Kumar & M Fisher. (1998). Bullet Embolism. New England Journal of Medicine. 339(12). 812–812. 7 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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