R. M. Vasu

895 total citations
99 papers, 657 citations indexed

About

R. M. Vasu is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, R. M. Vasu has authored 99 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Biomedical Engineering, 58 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in R. M. Vasu's work include Photoacoustic and Ultrasonic Imaging (51 papers), Optical Imaging and Spectroscopy Techniques (51 papers) and Digital Holography and Microscopy (11 papers). R. M. Vasu is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (51 papers), Optical Imaging and Spectroscopy Techniques (51 papers) and Digital Holography and Microscopy (11 papers). R. M. Vasu collaborates with scholars based in India, United Kingdom and Germany. R. M. Vasu's co-authors include Debasish Roy, B. Banerjee, Phaneendra K. Yalavarthy, A. K. Sood, K.S. Rajan, G. L. Rogers, Hari M. Varma, K. Rajan, Mayanglambam Suheshkumar Singh and A. K. Nandakumaran and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Automatic Control and Optics Letters.

In The Last Decade

R. M. Vasu

95 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. M. Vasu India 14 434 376 101 65 64 99 657
André Liemert Germany 20 646 1.5× 713 1.9× 33 0.3× 82 1.3× 28 0.4× 76 1.0k
S.G. Azevedo United States 13 394 0.9× 282 0.8× 54 0.5× 37 0.6× 122 1.9× 58 678
Anzhi He China 12 193 0.4× 113 0.3× 85 0.8× 117 1.8× 126 2.0× 88 626
Erik Alerstam United States 14 511 1.2× 606 1.6× 27 0.3× 46 0.7× 82 1.3× 32 897
J. B. Abbiss United States 10 92 0.2× 73 0.2× 69 0.7× 43 0.7× 59 0.9× 29 547
Marta M. Betcke United Kingdom 10 409 0.9× 314 0.8× 218 2.2× 42 0.6× 42 0.7× 34 614
Jeremiah Zhe Liu United States 7 403 0.9× 822 2.2× 37 0.4× 94 1.4× 55 0.9× 17 1.2k
Warren E. Smith United States 12 155 0.4× 294 0.8× 16 0.2× 50 0.8× 55 0.9× 34 607
Aki Pulkkinen Finland 16 610 1.4× 532 1.4× 277 2.7× 11 0.2× 30 0.5× 47 749
Н. А. Фомин Belarus 13 71 0.2× 43 0.1× 84 0.8× 73 1.1× 58 0.9× 64 506

Countries citing papers authored by R. M. Vasu

Since Specialization
Citations

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

Fields of papers citing papers by R. M. Vasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. M. Vasu. 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 R. M. Vasu. The network helps show where R. M. Vasu may publish in the future.

Co-authorship network of co-authors of R. M. Vasu

This figure shows the co-authorship network connecting the top 25 collaborators of R. M. Vasu. A scholar is included among the top collaborators of R. M. Vasu 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 R. M. Vasu. R. M. Vasu 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.
Manjappa, Rakesh, et al.. (2016). Fully 3D refraction correction dosimetry system. Physics in Medicine and Biology. 61(4). 1722–1737. 2 indexed citations
2.
Chowdhury, Shubhankar Roy, et al.. (2015). Internal noise-driven generalized Langevin equation from a nonlocal continuum model. Physical Review E. 92(2). 22150–22150. 5 indexed citations
3.
Vasu, R. M., et al.. (2013). Flux density calibration in diffuse optical tomographic systems. Journal of Biomedical Optics. 18(2). 26023–26023. 2 indexed citations
4.
Varma, Hari M., et al.. (2012). Analysis of the inverse problem associated with diffuse correlation tomography. Journal | MESA. 3(1). 79–97. 2 indexed citations
5.
Gupta, Saurabh, et al.. (2012). A pseudo-time EnKF incorporating shape based reconstruction for diffuse optical tomography. Medical Physics. 39(2). 1092–1101. 6 indexed citations
6.
Singh, Mayanglambam Suheshkumar, et al.. (2012). Ultrasound modulation of coherent light in a multiple-scattering medium: experimental verification of nonzero average phase carried by light. Biomedical Optics Express. 3(9). 2100–2100. 6 indexed citations
7.
Vasu, R. M., et al.. (2012). Practical fully three-dimensional reconstruction algorithms for diffuse optical tomography. Journal of the Optical Society of America A. 29(6). 1017–1017. 7 indexed citations
8.
Atanassova, Stefka, et al.. (2011). Identification of mastitis pathogens in rabbit milk by near infrared spectroscopy and SIMCA classification method.. Bulgarian Portal for Open Science. 3(1). 43–46. 1 indexed citations
9.
Roy, Debasish, et al.. (2011). Ultrasound modulated optical tomography: Young’s modulus of the insonified region from measurement of natural frequency of vibration. Optics Express. 19(23). 22837–22837. 8 indexed citations
10.
Varma, Hari M., B. Banerjee, Debasish Roy, A. K. Nandakumaran, & R. M. Vasu. (2010). Convergence analysis of the Newton algorithm and a pseudo-time marching scheme for diffuse correlation tomography. Journal of the Optical Society of America A. 27(2). 259–259. 5 indexed citations
11.
Atanassova, Stefka, et al.. (2009). Identification of mastitis pathogens in raw milk by near infrared spectroscopy and SIMCA classification method.. 56(1). 567–572. 3 indexed citations
12.
Banerjee, B., Debasish Roy, & R. M. Vasu. (2009). Efficient implementations of a pseudodynamical stochastic filtering strategy for static elastography. Medical Physics. 36(8). 3470–3476. 7 indexed citations
13.
Gupta, Saurabh, Phaneendra K. Yalavarthy, Debasish Roy, Daqing Piao, & R. M. Vasu. (2009). Singular value decomposition based computationally efficient algorithm for rapid dynamic near‐infrared diffuse optical tomography. Medical Physics. 36(12). 5559–5567. 11 indexed citations
14.
Banerjee, B., et al.. (2008). Quantitative photoacoustic tomography from boundary pressure measurements: noniterative recovery of optical absorption coefficient from the reconstructed absorbed energy map. Journal of the Optical Society of America A. 25(9). 2347–2347. 53 indexed citations
15.
16.
Vasu, R. M., et al.. (2006). Application of ultrasound-tagged photons for measurement of amplitude of vibration of tissue caused by ultrasound: theory, simulation, and experiments. Journal of Biomedical Optics. 11(3). 34019–34019. 7 indexed citations
17.
Vasu, R. M., et al.. (2005). Design, fabrication, and characterization of a tissue-equivalent phantom for optical elastography. Journal of Biomedical Optics. 10(4). 44020–44020. 35 indexed citations
18.
Yalavarthy, Phaneendra K. & R. M. Vasu. (2004). Reconstruction of optical properties of low-scattering tissue using derivative estimated through perturbation Monte-Carlo method. Journal of Biomedical Optics. 9(5). 1002–1002. 28 indexed citations
19.
Vasu, R. M., et al.. (2000). Optical tomographic microscope for quantitative imaging of phase objects. Applied Optics. 39(2). 277–277. 13 indexed citations
20.
Vasu, R. M., et al.. (1988). Multiplexing in multiple imaging through the theta modulation technique. Optics Communications. 66(1). 6–8. 4 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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