Prabhat Munshi

1.5k total citations
157 papers, 1.2k citations indexed

About

Prabhat Munshi is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering. According to data from OpenAlex, Prabhat Munshi has authored 157 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Biomedical Engineering, 53 papers in Radiology, Nuclear Medicine and Imaging and 38 papers in Aerospace Engineering. Recurrent topics in Prabhat Munshi's work include Medical Imaging Techniques and Applications (51 papers), Advanced X-ray and CT Imaging (46 papers) and Nuclear reactor physics and engineering (36 papers). Prabhat Munshi is often cited by papers focused on Medical Imaging Techniques and Applications (51 papers), Advanced X-ray and CT Imaging (46 papers) and Nuclear reactor physics and engineering (36 papers). Prabhat Munshi collaborates with scholars based in India, Germany and United States. Prabhat Munshi's co-authors include K. Muralidhar, R.K.S. Rathore, C.M. Allison, Padmaja Subbarao, Debasish Mishra, F. A. Kulacki, Manish Kumar Bajpai, Michael Maisl, Pankaj Wahi and Phalguni Gupta and has published in prestigious journals such as Medical Physics, Review of Scientific Instruments and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Prabhat Munshi

150 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prabhat Munshi India 16 556 413 193 170 159 157 1.2k
Yurii A. Ilinskii United States 19 750 1.3× 195 0.5× 137 0.7× 326 1.9× 195 1.2× 71 1.3k
L.G. Johansen Norway 21 816 1.5× 157 0.4× 128 0.7× 309 1.8× 73 0.5× 62 1.6k
S.A.H. Feghhi Iran 22 533 1.0× 64 0.2× 372 1.9× 251 1.5× 106 0.7× 120 1.6k
Esam M.A. Hussein Canada 17 274 0.5× 245 0.6× 109 0.6× 77 0.5× 28 0.2× 79 958
L. Bjørnø Denmark 15 442 0.8× 125 0.3× 174 0.9× 84 0.5× 125 0.8× 55 1.1k
Alan Kastengren United States 28 407 0.7× 55 0.1× 498 2.6× 140 0.8× 1.7k 10.9× 193 2.6k
R. M. Vasu India 14 434 0.8× 376 0.9× 29 0.2× 33 0.2× 31 0.2× 99 657
Michael Hargather United States 17 134 0.2× 42 0.1× 457 2.4× 77 0.5× 475 3.0× 52 1.2k
T.H.J.J. van der Hagen Netherlands 24 421 0.8× 49 0.1× 1.1k 5.9× 560 3.3× 544 3.4× 112 1.7k
Borislav Gueorguiev Tomov Denmark 17 548 1.0× 811 2.0× 30 0.2× 29 0.2× 25 0.2× 79 1.1k

Countries citing papers authored by Prabhat Munshi

Since Specialization
Citations

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

Fields of papers citing papers by Prabhat Munshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhat Munshi

This figure shows the co-authorship network connecting the top 25 collaborators of Prabhat Munshi. A scholar is included among the top collaborators of Prabhat Munshi 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 Prabhat Munshi. Prabhat Munshi 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.
Gupta, Sandeep, et al.. (2023). A novel semi-empirical model for lifetime prediction of gravity based ceramic filter and permeability estimation. Desalination and Water Treatment. 309. 220–235.
2.
Ray, Dipanjan, et al.. (2022). Simulation of Zircaloy and SiC cladding thermal performance of a nuclear fuel rod subassembly. Engineering Research Express. 4(2). 25012–25012. 1 indexed citations
3.
Sengupta, Dhurjati Prasad, et al.. (2022). Preliminary observations on computerized tomography-powered fractal dimension-based technique to differentiate between coprolites and body fossils. Current Science. 123(7). 933–933. 1 indexed citations
4.
Munshi, Prabhat, et al.. (2016). Application of MFS–MPS to the current-hole simulation in a Tokamak. Computers & Mathematics with Applications. 71(8). 1706–1721. 2 indexed citations
5.
Munshi, Prabhat, et al.. (2015). Computation of fixed boundary tokamak equilibria using a method based on approximate particular solutions. Computers & Mathematics with Applications. 70(5). 1220–1233. 7 indexed citations
6.
Munshi, Prabhat, et al.. (2013). Application of Tomographic NDT Techniques in Oil Industry. 179–183. 2 indexed citations
7.
Arun, C., et al.. (2012). Monte Carlo-based energy response studies of diode dosimeters in radiotherapy photon beams. Radiological Physics and Technology. 6(1). 151–156. 1 indexed citations
8.
Khanna, Ashok, et al.. (2011). Transient Analysis of Cooling System of ADS. Transactions of the American Nuclear Society. 104. 1069–1070. 2 indexed citations
9.
Munshi, Prabhat. (2008). CT2008: Tomography Confluence An International Conference on the Applications of Computerized Tomography (AIP Conference Proceedings). 1 indexed citations
10.
Satyamurthy, P., et al.. (2008). A Comparison of Experimental Results and FLUENT Simulations for Void-Fraction Distribution in a Two-Phase System. Nuclear Technology. 163(3). 426–434. 8 indexed citations
11.
Kumar, Amit, et al.. (2007). Second Level KT-1 Signature of CT Scanned Medical Images. 4(1). 20–32.
12.
Munshi, Prabhat. (2007). Computerized tomography for scientists and engineers. 5 indexed citations
13.
Muralidhar, K., et al.. (2001). Image reconstruction of simulated specimens using convolution back projection. Defence Science Journal. 51(2). 175–187. 3 indexed citations
14.
Munshi, Prabhat, Michael Maisl, & H. Reiter. (1997). Experimental aspects of the approximate error formula for tomographic reconstruction. Materials Evaluation. 55(2). 188–191. 18 indexed citations
15.
Munshi, Prabhat, Michael Maisl, & H. Reiter. (1995). An experimental study of tomographic contrast resolution. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 95(3). 402–406. 4 indexed citations
16.
Munshi, Prabhat. (1993). A simplified analysis for predicting the relative performance of tomographic filters. Transactions of the American Nuclear Society. 68. 2 indexed citations
17.
Munshi, Prabhat, et al.. (1993). A numerical investigation of Tomographic filters. Transactions of the American Nuclear Society. 68. 3 indexed citations
18.
Munshi, Prabhat, et al.. (1993). Sensitivity study of poisson corruption in tomographic measurements for air-water flows. Transactions of the American Nuclear Society. 68. 1 indexed citations
19.
Munshi, Prabhat, et al.. (1993). Error analysis of tomographic filters II: results. NDT & E International. 26(5). 235–240. 28 indexed citations
20.
Rathore, R.K.S., et al.. (1986). Tomographic reconstruction using radial polynomials. Transactions of the American Nuclear Society. 52(8). 1527–1531. 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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