Hari M. Varma

545 total citations
23 papers, 369 citations indexed

About

Hari M. Varma is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Physiology. According to data from OpenAlex, Hari M. Varma has authored 23 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Biomedical Engineering and 14 papers in Physiology. Recurrent topics in Hari M. Varma's work include Optical Imaging and Spectroscopy Techniques (20 papers), Photoacoustic and Ultrasonic Imaging (17 papers) and Thermoregulation and physiological responses (14 papers). Hari M. Varma is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (20 papers), Photoacoustic and Ultrasonic Imaging (17 papers) and Thermoregulation and physiological responses (14 papers). Hari M. Varma collaborates with scholars based in India, Spain and United States. Hari M. Varma's co-authors include Turgut Durduran, Claudia P. Valdés, Joseph P. Culver, Tanja Dragojević, A. K. Nandakumaran, Carles Justicia, R. M. Vasu, Anna M. Planas, Franco Zappa and Federica Villa and has published in prestigious journals such as NeuroImage, Stroke and Optics Letters.

In The Last Decade

Hari M. Varma

20 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hari M. Varma India 10 303 205 200 43 28 23 369
Claudia P. Valdés Spain 7 247 0.8× 173 0.8× 153 0.8× 40 0.9× 13 0.5× 14 326
Mitchell A. Davis United States 6 199 0.7× 188 0.9× 107 0.5× 47 1.1× 12 0.4× 11 296
W. James Tom United States 4 275 0.9× 275 1.3× 90 0.5× 88 2.0× 7 0.3× 7 342
Joey Enfield Ireland 8 220 0.7× 124 0.6× 314 1.6× 25 0.6× 59 2.1× 11 538
Ирина Мизева Russia 11 151 0.5× 190 0.9× 107 0.5× 24 0.6× 11 0.4× 36 314
Zhijia Yuan United States 12 136 0.4× 62 0.3× 216 1.1× 9 0.2× 61 2.2× 17 370
Gerold Aschinger Austria 12 289 1.0× 28 0.1× 95 0.5× 2 0.0× 13 0.5× 16 423
Bertan Hallacoglu United States 9 212 0.7× 28 0.1× 210 1.1× 9 0.2× 90 3.2× 17 342
Sridhar Madala United States 11 104 0.3× 83 0.4× 97 0.5× 6 0.1× 2 0.1× 18 429
Dana Madison Deupree United States 4 205 0.7× 33 0.2× 22 0.1× 8 0.2× 2 0.1× 5 309

Countries citing papers authored by Hari M. Varma

Since Specialization
Citations

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

Fields of papers citing papers by Hari M. Varma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hari M. Varma

This figure shows the co-authorship network connecting the top 25 collaborators of Hari M. Varma. A scholar is included among the top collaborators of Hari M. Varma 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 Hari M. Varma. Hari M. Varma 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.
Sarkar, Soumyajit, et al.. (2024). Tunable dynamical tissue phantom for laser speckle imaging. Biomedical Optics Express. 15(8). 4737–4737.
2.
Sarkar, Soumyajit, et al.. (2023). Development of a tunable dynamical tissue phantom for laser speckle imaging of blood flow. 96–96. 1 indexed citations
5.
Varma, Hari M., et al.. (2022). A simple algorithm for diffuse optical tomography without Jacobian inversion. Biomedical Physics & Engineering Express. 8(4). 45001–45001. 2 indexed citations
6.
Varma, Hari M., et al.. (2022). High-density diffuse correlation tomography with enhanced depth localization and minimal surface artefacts. Biomedical Optics Express. 13(11). 6081–6081. 5 indexed citations
7.
Varma, Hari M., et al.. (2021). A simple algorithm for diffuse optical tomography (DOT) without matrix inversion. 53–53. 1 indexed citations
8.
Varma, Hari M., et al.. (2020). Multi-speckle diffuse correlation spectroscopy to measure cerebral blood flow. Biomedical Optics Express. 11(11). 6699–6699. 16 indexed citations
9.
Nandakumaran, A. K., et al.. (2020). On the equivalence of speckle contrast-based and diffuse correlation spectroscopy methods in measuring in vivo blood flow. Optics Letters. 45(14). 3993–3993. 10 indexed citations
10.
Nandakumaran, A. K., et al.. (2019). Recovery of the diffuse correlation spectroscopy data-type from speckle contrast measurements: towards low-cost, deep-tissue blood flow measurements. Biomedical Optics Express. 10(10). 5395–5395. 17 indexed citations
11.
Dragojević, Tanja, Hari M. Varma, Claudia P. Valdés, et al.. (2017). High-density speckle contrast optical tomography (SCOT) for three dimensional tomographic imaging of the small animal brain. NeuroImage. 153. 283–292. 16 indexed citations
12.
Dragojević, Tanja, Danilo Bronzi, Hari M. Varma, et al.. (2015). High-speed multi-exposure laser speckle contrast imaging with a single-photon counting camera. Biomedical Optics Express. 6(8). 2865–2865. 48 indexed citations
13.
Valdés, Claudia P., et al.. (2014). Speckle contrast optical spectroscopy, a non-invasive, diffuse optical method for measuring microvascular blood flow in tissue. Biomedical Optics Express. 5(8). 2769–2769. 102 indexed citations
14.
Varma, Hari M., et al.. (2014). Speckle contrast optical tomography: A new method for deep tissue three-dimensional tomography of blood flow. Biomedical Optics Express. 5(4). 1275–1275. 68 indexed citations
15.
Rosa, Xavier de la, Álvaro Cervera, Claudia P. Valdés, et al.. (2014). Mannose-Binding Lectin Promotes Local Microvascular Thrombosis After Transient Brain Ischemia in Mice. Stroke. 45(5). 1453–1459. 45 indexed citations
16.
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
17.
Varma, Hari M., et al.. (2011). Ultrasound-modulated optical tomography: recovery of amplitude of vibration in the insonified region from boundary measurement of light correlation. Journal of the Optical Society of America A. 28(11). 2322–2322. 9 indexed citations
18.
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
19.
Varma, Hari M., A. K. Nandakumaran, & R. M. Vasu. (2009). Study of turbid media with light: Recovery of mechanical and optical properties from boundary measurement of intensity autocorrelation of light. Journal of the Optical Society of America A. 26(6). 1472–1472. 12 indexed citations
20.
Varma, Hari M., R. M. Vasu, & A. K. Nandakumaran. (2007). Direct reconstruction of complex refractive index distribution from boundary measurement of intensity and normal derivative of intensity. Journal of the Optical Society of America A. 24(10). 3089–3089. 2 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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