Shashank Agarwal

2.5k total citations
67 papers, 950 citations indexed

About

Shashank Agarwal is a scholar working on Neurology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Shashank Agarwal has authored 67 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 16 papers in Molecular Biology and 13 papers in Artificial Intelligence. Recurrent topics in Shashank Agarwal's work include Biomedical Text Mining and Ontologies (13 papers), Topic Modeling (10 papers) and Transcranial Magnetic Stimulation Studies (9 papers). Shashank Agarwal is often cited by papers focused on Biomedical Text Mining and Ontologies (13 papers), Topic Modeling (10 papers) and Transcranial Magnetic Stimulation Studies (9 papers). Shashank Agarwal collaborates with scholars based in United States, India and Norway. Shashank Agarwal's co-authors include Hong Yu, Milton Biagioni, Steven Galetta, Kara Melmed, Rajan Jain, Siddhant Dogra, Ariane Lewis, Alberto Cucca, Vinh Nguyen and Penina Krieger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Shashank Agarwal

65 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shashank Agarwal United States 17 355 222 207 170 107 67 950
Inês Moreira Portugal 15 140 0.4× 170 0.8× 746 3.6× 83 0.5× 9 0.1× 31 1.5k
Sara Graziadio United Kingdom 18 129 0.4× 79 0.4× 20 0.1× 56 0.3× 136 1.3× 48 968
Yogesan Kanagasingam Australia 31 56 0.2× 152 0.7× 111 0.5× 240 1.4× 11 0.1× 103 3.3k
Joon Seo Lim South Korea 18 90 0.3× 39 0.2× 45 0.2× 174 1.0× 343 3.2× 46 1.1k
Bashar Hasan United States 22 67 0.2× 57 0.3× 69 0.3× 53 0.3× 10 0.1× 78 1.3k
Donal Fellows United States 13 56 0.2× 25 0.1× 75 0.4× 171 1.0× 18 0.2× 30 1.1k
Gilles Cohen Switzerland 15 37 0.1× 41 0.2× 299 1.4× 133 0.8× 35 0.3× 29 1.3k
Matthew G. Crowson United States 18 68 0.2× 169 0.8× 85 0.4× 69 0.4× 27 0.3× 85 1.1k
Daniel K. Manson United States 11 418 1.2× 19 0.1× 47 0.2× 243 1.4× 833 7.8× 18 1.8k
Karl E. Misulis United States 11 40 0.1× 32 0.1× 184 0.9× 242 1.4× 18 0.2× 29 1.2k

Countries citing papers authored by Shashank Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Shashank Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shashank Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Shashank Agarwal. A scholar is included among the top collaborators of Shashank Agarwal 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 Shashank Agarwal. Shashank Agarwal 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.
2.
Agarwal, Shashank. (2023). Optimizing Product Choices through A/B Testing and Data Analytics: A Comprehensive Review. International Journal of Advanced Research in Science Communication and Technology. 550–555.
3.
Raz, Eytan, Maksim Shapiro, Timothy M. Shepherd, et al.. (2021). Central Retinal Artery Visualization with Cone-Beam CT Angiography. Radiology. 302(2). 419–424. 6 indexed citations
4.
Allen, Jason W., Adam Prater, Brian M. Howard, et al.. (2021). Diagnostic Performance of Computed Tomography Angiography and Computed Tomography Perfusion Tissue Time‐to‐Maximum in Vasospasm Following Aneurysmal Subarachnoid Hemorrhage. Journal of the American Heart Association. 11(1). e023828–e023828. 15 indexed citations
5.
6.
Agarwal, Shashank, Vinh Nguyen, Siddhant Dogra, et al.. (2020). Serial Imaging of Virus-Associated Necrotizing Disseminated Acute Leukoencephalopathy (VANDAL) in COVID-19. American Journal of Neuroradiology. 42(2). 279–284. 11 indexed citations
7.
Agarwal, Shashank, et al.. (2020). Training in neurology: Flexibility and adaptability of a neurology training program at the epicenter of COVID-19. Neurology. 94(24). e2608–e2614. 38 indexed citations
8.
Agarwal, Shashank, Erica Scher, Jeffrey Farkas, et al.. (2020). Mechanical Thrombectomy in Nonagenarians: A Propensity Score Matched Analysis. Journal of Stroke and Cerebrovascular Diseases. 29(7). 104870–104870. 8 indexed citations
9.
Agarwal, Shashank, Anna Derman, Eytan Raz, et al.. (2020). Carotid intimal sarcoma causing stroke and intracranial metastasis via tumor embolization. Neurology. 94(11). e1122–e1125. 1 indexed citations
10.
Valdes, Eduard, Shashank Agarwal, Elizabeth Carroll, et al.. (2020). Special considerations in the assessment of catastrophic brain injury and determination of brain death in patients with SARS-CoV-2. Journal of the Neurological Sciences. 417. 117087–117087. 4 indexed citations
11.
Agarwal, Shashank, Shawna Cutting, Brian Mac Grory, et al.. (2019). Redefining Early Neurological Improvement After Reperfusion Therapy in Stroke. Journal of Stroke and Cerebrovascular Diseases. 29(2). 104526–104526. 16 indexed citations
12.
Agarwal, Shashank, et al.. (2019). Proceedings #59: Remotely-Supervised Non-Invasive Brain Stimulation for Remediation of Fatigue in Parkinson’s Patients. Brain stimulation. 12(4). e149–e150. 3 indexed citations
13.
Agarwal, Shashank, et al.. (2018). Clinical-radiographic correlates of Artery of Percheron infarcts in a case series of 6 patients. Journal of Clinical Neuroscience. 61. 266–268. 7 indexed citations
14.
Agarwal, Shashank, Alberto Cucca, Bryan Dobbs, et al.. (2018). Remotely-supervised transcranial direct current stimulation paired with cognitive training in Parkinson’s disease: An open-label study. Journal of Clinical Neuroscience. 57. 51–57. 43 indexed citations
15.
Dobbs, Bryan, Milton Biagioni, Shashank Agarwal, et al.. (2018). Generalizing remotely supervised transcranial direct current stimulation (tDCS): feasibility and benefit in Parkinson’s disease. Journal of NeuroEngineering and Rehabilitation. 15(1). 114–114. 63 indexed citations
16.
Agarwal, Shashank, et al.. (2017). The effect of increased chewing strokes on the DeMeester score. Diseases of the Esophagus. 30(5). 1–5. 2 indexed citations
17.
Agarwal, Shashank, et al.. (2016). Hypersomnolence and Horizontal Gaze Palsy in Artery of Percheron Infarcts: Clinical-Radiographic Correlates (P4.367). Neurology. 86(16_supplement). 1 indexed citations
18.
Agarwal, Shashank, et al.. (2016). Resolution of constipation, anal stricture, and iron deficiency anemia after iron infusion: an analogy with Plummer Vinson syndrome. SpringerPlus. 5(1). 1976–1976. 1 indexed citations
19.
Agarwal, Shashank, Feifan Liu, & Hong Yu. (2011). Simple and efficient machine learning frameworks for identifying protein-protein interaction relevant articles and experimental methods used to study the interactions. BMC Bioinformatics. 12(S8). S10–S10. 10 indexed citations
20.
Agarwal, Shashank & Hong Yu. (2010). Detecting hedge cues and their scope in biomedical text with conditional random fields. Journal of Biomedical Informatics. 43(6). 953–961. 29 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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