Manoj Tanwar

2.7k total citations
20 papers, 130 citations indexed

About

Manoj Tanwar is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Epidemiology. According to data from OpenAlex, Manoj Tanwar has authored 20 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Neurology and 4 papers in Epidemiology. Recurrent topics in Manoj Tanwar's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Acute Ischemic Stroke Management (3 papers) and MRI in cancer diagnosis (2 papers). Manoj Tanwar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Acute Ischemic Stroke Management (3 papers) and MRI in cancer diagnosis (2 papers). Manoj Tanwar collaborates with scholars based in United States, Iran and India. Manoj Tanwar's co-authors include Houman Sotoudeh, Aparna Singhal, Adam Sturdivant, Andrew D. Smith, Srini Tridandapani, Asser Abou Elkassem, Ali Rezaei, Paul H. Yi, Omid Shafaat and Amir Hossein Sarrami and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Manoj Tanwar

18 papers receiving 125 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manoj Tanwar United States 6 56 36 22 18 15 20 130
Matthew M. Kalscheur United States 7 24 0.4× 37 1.0× 10 0.5× 25 1.4× 19 1.3× 16 319
Lucas Plagwitz Germany 7 34 0.6× 68 1.9× 18 0.8× 69 3.8× 3 0.2× 19 231
Sunny Virmani United States 7 172 3.1× 17 0.5× 34 1.5× 22 1.2× 29 1.9× 10 254
Robbert Struyven United Kingdom 8 179 3.2× 17 0.5× 7 0.3× 19 1.1× 10 0.7× 19 248
Ahmed E. Fetit United Kingdom 7 122 2.2× 15 0.4× 7 0.3× 35 1.9× 21 1.4× 12 169
Mahsa Asadi Anar Iran 6 31 0.6× 34 0.9× 4 0.2× 17 0.9× 16 1.1× 28 126
Mark A. Chia United Kingdom 8 161 2.9× 69 1.9× 5 0.2× 20 1.1× 10 0.7× 20 266
Lucas Zago Ribeiro Brazil 9 129 2.3× 27 0.8× 6 0.3× 6 0.3× 3 0.2× 29 209
Adam Sturdivant United States 6 29 0.5× 37 1.0× 8 0.4× 14 0.8× 4 0.3× 8 187
Pavel Gelezhe Russia 5 81 1.4× 24 0.7× 33 1.5× 34 1.9× 18 1.2× 16 135

Countries citing papers authored by Manoj Tanwar

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Tanwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Tanwar

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Tanwar. A scholar is included among the top collaborators of Manoj Tanwar 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 Manoj Tanwar. Manoj Tanwar 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.
Tanwar, Manoj, Eric N. Miller, Apostolos John Tsiouris, et al.. (2025). White Matter Hyperintensities on High-Resolution 3-T MRI: Frequency in Mild Traumatic Brain Injury and Associations With Clinical Markers—A Prospective Controlled Multicenter Study. American Journal of Roentgenology. 224(5). e2432274–e2432274. 1 indexed citations
2.
Sotoudeh, Houman, Ramin Shahidi, Parnian Shobeiri, et al.. (2024). Imaging spectrum of amyloid-related imaging abnormalities associated with aducanumab immunotherapy. SHILAP Revista de lepidopterología. 3. 1305390–1305390. 2 indexed citations
3.
Tanwar, Manoj & Seba Susan. (2024). Performance Evaluation of Deep Pre-Trained Models Under Progressive Blur. 1254–1258.
4.
Savage, Cody, Manoj Tanwar, Asser Abou Elkassem, et al.. (2024). Prospective Evaluation of Artificial Intelligence Triage of Intracranial Hemorrhage on Noncontrast Head CT Examinations. American Journal of Roentgenology. 223(5). e2431639–e2431639. 18 indexed citations
5.
Raz, Eytan, et al.. (2024). Intracranial cerebrovascular lesions on T2-weighted magnetic resonance imaging. Journal of Clinical Imaging Science. 14. 19–19.
6.
Sotoudeh, Houman, et al.. (2023). Radiomics Outperforms Clinical and Radiologic Signs in Predicting Spontaneous Basal Ganglia Hematoma Expansion: A Pilot Study. Cureus. 15(4). e37162–e37162. 3 indexed citations
7.
Tanwar, Manoj, et al.. (2023). Radiomics; A Potential Next “Omics” in Psychiatric Disorders; An Introduction. Psychiatry Investigation. 20(7). 583–592. 6 indexed citations
8.
Tanwar, Manoj, et al.. (2023). Magnetic Resonance Imaging (MRI) Findings in COVID-19 Associated Encephalitis. Neurology International. 15(1). 55–68. 1 indexed citations
9.
10.
Sotoudeh, Houman, et al.. (2022). Radiomics for differentiation of the posterior fossa pilocytic astrocytoma versus hemangioblastomas in adults. A pilot study. Clinical Imaging. 93. 26–30. 2 indexed citations
11.
Smith, Andrew D., Asser Abou Elkassem, Manoj Tanwar, et al.. (2022). Artificial Intelligence Literacy: Developing a Multi-institutional Infrastructure for AI Education. Academic Radiology. 30(7). 1472–1480. 41 indexed citations
12.
Sotoudeh, Houman, Amir Hossein Sarrami, Glenn H. Roberson, et al.. (2021). Emerging Applications of Radiomics in Neurological Disorders: A Review. Cureus. 13(12). e20080–e20080. 17 indexed citations
13.
Sotoudeh, Houman, et al.. (2021). The Role of Machine Learning and Radiomics for Treatment Response Prediction in Idiopathic Normal Pressure Hydrocephalus. Cureus. 13(10). e18497–e18497. 9 indexed citations
14.
Tanwar, Manoj & Barton F. Branstetter. (2021). Mimics of perineural tumor spread in the head and neck. British Journal of Radiology. 94(1128). 20210099–20210099. 5 indexed citations
15.
Özütemiz, Can, et al.. (2020). The Role of Dual-Phase FDG PET/CT in the Diagnosis and Follow-Up of Brain Tumors. American Journal of Roentgenology. 215(4). 985–996. 11 indexed citations
16.
Tanwar, Manoj, Charles B. Simone, Steven B. Newman, et al.. (2014). Perineural spread of malignant mesothelioma with spinal intramedullary involvement. Clinical Neurology and Neurosurgery. 120. 116–119. 2 indexed citations
17.
Zeng, Ke, Güray Erus, Manoj Tanwar, & Christos Davatzikos. (2014). Brain abnormality segmentation based onl1-norm minimization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 903409–903409. 1 indexed citations
18.
Tanwar, Manoj, et al.. (2013). Dynamic Simulation of Shift Tower. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
19.
Bhardwaj, Atul & Manoj Tanwar. (2011). Effect of Rasanjana Madhu Ashchyotana in Netra Abhishyanda (Mucopurulent Conjunctivitis). AYU (An International Quarterly Journal of Research in Ayurveda). 32(3). 365–365. 5 indexed citations
20.
Gaonkar, Bilwaj, Güray Erus, Kilian M. Pohl, et al.. (2011). Automated segmentation of cortical necrosis using awavelet based abnormality detection system. PubMed. 41. 1391–1395. 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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