D. Bedekar

517 total citations
8 papers, 398 citations indexed

About

D. Bedekar is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, D. Bedekar has authored 8 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Genetics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in D. Bedekar's work include MRI in cancer diagnosis (5 papers), Advanced MRI Techniques and Applications (3 papers) and Glioma Diagnosis and Treatment (3 papers). D. Bedekar is often cited by papers focused on MRI in cancer diagnosis (5 papers), Advanced MRI Techniques and Applications (3 papers) and Glioma Diagnosis and Treatment (3 papers). D. Bedekar collaborates with scholars based in United States. D. Bedekar's co-authors include Kathleen M. Schmainda, Scott D. Rand, Benjamin M. Ellingson, Pete LaViolette, Jennifer Connelly, Carolyn Quinsey, Mark G. Malkin, J. L. Boxerman, E.S. Paulson and Jason T. Machan and has published in prestigious journals such as Journal of Clinical Oncology, Magnetic Resonance in Medicine and American Journal of Neuroradiology.

In The Last Decade

D. Bedekar

8 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Bedekar United States	6	340	258	29	25	21	8	398
Vasileios K. Katsaros Greece	7	265 0.8×	231 0.9×	44 1.5×	30 1.2×	13 0.6×	13	382
Theresa Kumar Norway	7	284 0.8×	244 0.9×	65 2.2×	25 1.0×	14 0.7×	9	407
Taryar Zaw United States	8	285 0.8×	261 1.0×	67 2.3×	48 1.9×	11 0.5×	11	408
Christopher E. Benton United Kingdom	8	385 1.1×	341 1.3×	49 1.7×	16 0.6×	17 0.8×	8	474
Nanxi Shen China	8	330 1.0×	151 0.6×	43 1.5×	8 0.3×	29 1.4×	20	363
Haopeng Pang China	11	223 0.7×	165 0.6×	43 1.5×	21 0.8×	10 0.5×	21	335
E. Essock-Burns United States	6	280 0.8×	221 0.9×	23 0.8×	26 1.0×	6 0.3×	6	366
Youngheun Jo South Korea	7	306 0.9×	221 0.9×	65 2.2×	16 0.6×	22 1.0×	11	378
Guoqiang Yang China	8	290 0.9×	205 0.8×	89 3.1×	21 0.8×	9 0.4×	29	358
Martin Bulik Czechia	6	224 0.7×	238 0.9×	69 2.4×	32 1.3×	16 0.8×	13	346

Countries citing papers authored by D. Bedekar

Since Specialization

Citations

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

Fields of papers citing papers by D. Bedekar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Bedekar

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

All Works

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8 of 8 papers shown

Boxerman, J. L., et al.. (2012). The Role of Preload and Leakage Correction in Gadolinium-Based Cerebral Blood Volume Estimation Determined by Comparison with MION as a Criterion Standard. American Journal of Neuroradiology. 33(6). 1081–1087. 87 indexed citations

Pechman, Kimberly R., Deborah Donohoe, D. Bedekar, Shekar N. Kurpad, & Kathleen M. Schmainda. (2011). Evaluation of combined bevacizumab plus irinotecan therapy in brain tumors using magnetic resonance imaging measures of relative cerebral blood volume. Magnetic Resonance in Medicine. 68(4). 1266–1272. 6 indexed citations

Pechman, Kimberly R., Deborah Donohoe, D. Bedekar, et al.. (2011). Characterization of bevacizumab dose response relationship in U87 brain tumors using magnetic resonance imaging measures of enhancing tumor volume and relative cerebral blood volume. Journal of Neuro-Oncology. 105(2). 233–239. 18 indexed citations

Bedekar, D., Kathleen M. Schmainda, Scott D. Rand, et al.. (2011). Delta T1 (dT1) method as a tool to evaluate tumor progression in patients with brain cancer.. Journal of Clinical Oncology. 29(15_suppl). e21056–e21056. 2 indexed citations

Ellingson, Benjamin M., Mark G. Malkin, Scott D. Rand, et al.. (2010). Validation of functional diffusion maps (fDMs) as a biomarker for human glioma cellularity. Journal of Magnetic Resonance Imaging. 31(3). 538–548. 214 indexed citations

Bedekar, D., et al.. (2010). Standardization of relative cerebral blood volume (rCBV) image maps for ease of both inter‐ and intrapatient comparisons. Magnetic Resonance in Medicine. 64(3). 907–913. 55 indexed citations

Bedekar, D., Anuja Nair, & D. Geoffrey Vince. (2005). Choosing the optimal mother wavelet for decomposition of radio-frequency intravascular ultrasound data for characterization of atherosclerotic plaque lesions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5750. 490–490. 13 indexed citations

Bedekar, D., Anuja Nair, & D. Geoffrey Vince. (2004). Atherosclerotic plaque characterization by acoustic impedance analysis of intravascular ultrasound data. 2. 1524–1527. 3 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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