Mani Vembar

1.8k total citations
63 papers, 1.4k citations indexed

About

Mani Vembar is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mani Vembar has authored 63 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Radiology, Nuclear Medicine and Imaging, 46 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mani Vembar's work include Cardiac Imaging and Diagnostics (47 papers), Advanced X-ray and CT Imaging (43 papers) and Radiation Dose and Imaging (27 papers). Mani Vembar is often cited by papers focused on Cardiac Imaging and Diagnostics (47 papers), Advanced X-ray and CT Imaging (43 papers) and Radiation Dose and Imaging (27 papers). Mani Vembar collaborates with scholars based in United States, Germany and Finland. Mani Vembar's co-authors include Matthew Walker, Olivier Ecabert, Jörg Peters, Jens von Berg, Jürgen Weese, Mark E. Olszewski, Krishna Subramanyan, Dominic J. Heuscher, Yang Hou and Qiyong Guo and has published in prestigious journals such as PLoS ONE, Radiology and IEEE Transactions on Medical Imaging.

In The Last Decade

Mani Vembar

62 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mani Vembar United States 18 1.1k 768 259 208 195 63 1.4k
Robbert W. van Hamersvelt Netherlands 15 955 0.9× 739 1.0× 191 0.7× 85 0.4× 189 1.0× 33 1.2k
Mark E. Olszewski United States 15 515 0.5× 303 0.4× 266 1.0× 207 1.0× 304 1.6× 36 870
Lisan A. Neefjes Netherlands 20 672 0.6× 211 0.3× 423 1.6× 160 0.8× 392 2.0× 31 1.0k
Roch L. Maurice Canada 16 703 0.7× 537 0.7× 441 1.7× 82 0.4× 380 1.9× 33 1.1k
Robert Manzke Germany 16 674 0.6× 402 0.5× 253 1.0× 55 0.3× 120 0.6× 39 852
Thomas O’Donnell United States 14 381 0.4× 213 0.3× 228 0.9× 60 0.3× 100 0.5× 57 705
Max Schöebinger Germany 12 555 0.5× 222 0.3× 241 0.9× 44 0.2× 380 1.9× 27 823
Hairong Shi United States 12 554 0.5× 473 0.6× 170 0.7× 33 0.2× 94 0.5× 16 719
Olivier Ecabert Germany 12 323 0.3× 247 0.3× 240 0.9× 358 1.7× 118 0.6× 24 725
Alberto Gómez United Kingdom 17 232 0.2× 244 0.3× 282 1.1× 101 0.5× 203 1.0× 55 779

Countries citing papers authored by Mani Vembar

Since Specialization
Citations

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

Fields of papers citing papers by Mani Vembar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mani Vembar

This figure shows the co-authorship network connecting the top 25 collaborators of Mani Vembar. A scholar is included among the top collaborators of Mani Vembar 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 Mani Vembar. Mani Vembar 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.
Vargas, Eurı́pedes do Amaral, Marcel J. W. Greuter, Mani Vembar, et al.. (2025). Optimizing coronary CT angiography with spectral dual-layer CT: motion-compensated virtual monoenergetic imaging achieves 50% contrast dose reduction in a phantom study. The International Journal of Cardiovascular Imaging. 42(3). 435–447.
2.
Werf, Niels R. van der, Mani Vembar, Tim Leiner, et al.. (2025). Motion compensated reconstruction improves image quality and interpretability of dual-layer coronary CT angiography. European Radiology. 36(3). 1977–1988. 1 indexed citations
3.
Greuter, Marcel J. W., Robbert W. van Hamersvelt, Niek H. J. Prakken, et al.. (2024). The influence of motion-compensated reconstruction on coronary artery analysis for a dual-layer detector CT system: a dynamic phantom study. European Radiology. 34(8). 4874–4882. 4 indexed citations
4.
Liu, Peijun, Lin Lü, Yechen Han, et al.. (2021). Quantitative analysis of late iodine enhancement using dual-layer spectral detector computed tomography: comparison with magnetic resonance imaging. Quantitative Imaging in Medicine and Surgery. 12(1). 310–320. 11 indexed citations
6.
Eck, Brendan, Raymond F. Muzic, Hao Wu, et al.. (2018). The role of acquisition and quantification methods in myocardial blood flow estimability for myocardial perfusion imaging CT. Physics in Medicine and Biology. 63(18). 185011–185011. 7 indexed citations
7.
Tanabe, Yuki, Teruhito Kido, Akira Kurata, et al.. (2017). Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance. International journal of cardiac imaging. 33(10). 1609–1618. 21 indexed citations
8.
Fahmi, Rachid, Brendan Eck, Anas Fares, et al.. (2016). Effect of beam hardening on transmural myocardial perfusion quantification in myocardial CT imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9788. 97882I–97882I. 1 indexed citations
9.
10.
Lessick, Jonathan, Oliver Klass, Matthew Walker, et al.. (2015). Automatic Determination of Differential Coronary Artery Motion Minima for Cardiac Computed Tomography Optimal Phase Selection. Academic Radiology. 22(6). 697–703. 1 indexed citations
11.
Eck, Brendan, Rachid Fahmi, Mani Vembar, et al.. (2015). Low dose dynamic myocardial CT perfusion using advanced iterative reconstruction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9417. 94170Z–94170Z. 7 indexed citations
12.
14.
Hou, Yang, et al.. (2012). The optimal dose reduction level using iterative reconstruction with prospective ECG-triggered coronary CTA using 256-slice MDCT. European Journal of Radiology. 81(12). 3905–3911. 49 indexed citations
15.
Lee, Jae‐Hwan, Eun Ju Chun, Sang Il Choi, et al.. (2011). Prospective versus retrospective ECG-gated 64-detector coronary CT angiography for evaluation of coronary artery bypass graft patency: comparison of image quality, radiation dose and diagnostic accuracy. International journal of cardiac imaging. 27(5). 657–667. 12 indexed citations
16.
Hou, Yang, Yong Yue, Tao Yu, et al.. (2010). Prospectively versus retrospectively ECG-gated 256-slice coronary CT angiography: image quality and radiation dose over expanded heart rates. International journal of cardiac imaging. 28(1). 153–162. 34 indexed citations
17.
Ecabert, Olivier, Jörg Peters, Jens von Berg, et al.. (2008). Automatic Model-Based Segmentation of the Heart in CT Images. IEEE Transactions on Medical Imaging. 27(9). 1189–1201. 265 indexed citations
18.
Suzuki, Shigeru, Shigeru Furui, Mani Vembar, et al.. (2007). Assessment of Coronary Stents Using 40-Detector Row CT. Journal of Computer Assisted Tomography. 31(6). 910–916. 3 indexed citations
19.
Carrascosa, Patrícia, et al.. (2005). Multislice CT virtual angioscopy of the abdomen. Abdominal Imaging. 30(3). 249–258. 5 indexed citations
20.
Heuscher, Dominic J. & Mani Vembar. (1999). Reduced partial volume artifacts using spiral computed tomography and an integrating interpolator. Medical Physics. 26(2). 276–286. 15 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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