Kumar Abhinav

1.4k total citations
38 papers, 972 citations indexed

About

Kumar Abhinav is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Kumar Abhinav has authored 38 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Kumar Abhinav's work include Advanced Neuroimaging Techniques and Applications (10 papers), Mobile Crowdsensing and Crowdsourcing (8 papers) and Meningioma and schwannoma management (7 papers). Kumar Abhinav is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (10 papers), Mobile Crowdsensing and Crowdsourcing (8 papers) and Meningioma and schwannoma management (7 papers). Kumar Abhinav collaborates with scholars based in United States, Switzerland and India. Kumar Abhinav's co-authors include Fang‐Cheng Yeh, Juan C. Fernandez‐Miranda, Paul A. Gardner, Sandip S. Panesar, Juan C. Fernandez‐Miranda, Sudhir Pathak, David Fernandes, Eric W. Wang, Robert M. Friedlander and Alpana Dubey and has published in prestigious journals such as Journal of neurosurgery, Neurosurgery and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

In The Last Decade

Kumar Abhinav

37 papers receiving 954 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kumar Abhinav United States 18 393 254 215 194 136 38 972
Walid Ibn Essayed United States 18 546 1.4× 179 0.7× 200 0.9× 208 1.1× 167 1.2× 63 1.1k
Sergio Balbi Italy 18 183 0.5× 308 1.2× 164 0.8× 160 0.8× 128 0.9× 36 934
Timothée Jacquesson France 17 190 0.5× 222 0.9× 301 1.4× 335 1.7× 61 0.4× 53 734
Guochen Sun China 15 164 0.4× 300 1.2× 263 1.2× 175 0.9× 32 0.2× 47 819
Jean‐Michel Lemée France 19 238 0.6× 249 1.0× 296 1.4× 368 1.9× 117 0.9× 53 1.1k
Takehiro Uda Japan 14 166 0.4× 133 0.5× 114 0.5× 212 1.1× 104 0.8× 84 849
Karim ReFaey United States 19 94 0.2× 142 0.6× 277 1.3× 220 1.1× 66 0.5× 40 970
Michael G. Hart United Kingdom 21 401 1.0× 204 0.8× 326 1.5× 152 0.8× 275 2.0× 64 1.5k
M. J. B. Taphoorn Netherlands 11 316 0.8× 250 1.0× 351 1.6× 83 0.4× 72 0.5× 19 1.5k
Giulio Bertani Italy 14 137 0.3× 149 0.6× 183 0.9× 134 0.7× 30 0.2× 56 592

Countries citing papers authored by Kumar Abhinav

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Abhinav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumar Abhinav

This figure shows the co-authorship network connecting the top 25 collaborators of Kumar Abhinav. A scholar is included among the top collaborators of Kumar Abhinav 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 Kumar Abhinav. Kumar Abhinav 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.
Abhinav, Kumar, Alex G. Lee, Arjun V. Pendharkar, et al.. (2023). Comprehensive Profiling of Secreted Factors in the Cerebrospinal Fluid of Moyamoya Disease Patients. Translational Stroke Research. 15(2). 399–408. 7 indexed citations
2.
Barrios‐Martinez, Jessica, Kumar Abhinav, Juan C. Fernandez‐Miranda, et al.. (2022). Differential tractography as a dynamic imaging biomarker: A methodological pilot study for Huntington’s disease. NeuroImage Clinical. 35. 103062–103062. 9 indexed citations
3.
Dubey, Alpana, et al.. (2020). HACO. 1–9. 31 indexed citations
4.
Panesar, Sandip S., Michael J. Magnetta, Debraj Mukherjee, et al.. (2019). Patient-specific 3-dimensionally printed models for neurosurgical planning and education. Neurosurgical FOCUS. 47(6). E12–E12. 53 indexed citations
5.
Abhinav, Kumar, et al.. (2019). Endoscopic endonasal approach for resection of pediatric chordoma with brainstem invasion. Neurosurgical Focus Video. 1(2). V20–V20.
6.
Nielsen, Troels Halfeld, Kumar Abhinav, Justin Lee, et al.. (2019). Surgical Treatment of Recurrent Previously Coiled and/or Stent-Coiled Intracerebral Aneurysms: A Single-Center Experience in a Series of 75 Patients. World Neurosurgery. 124. e649–e658. 7 indexed citations
7.
Abhinav, Kumar, et al.. (2018). LeCoRe: A Framework for Modeling Learner's preference.. Educational Data Mining. 6 indexed citations
8.
Yeh, Fang‐Cheng, Sandip S. Panesar, Jessica Barrios‐Martinez, et al.. (2018). Automatic Removal of False Connections in Diffusion MRI Tractography Using Topology-Informed Pruning (TIP). Neurotherapeutics. 16(1). 52–58. 131 indexed citations
9.
Panesar, Sandip S., et al.. (2018). Tractography for Surgical Neuro-Oncology Planning: Towards a Gold Standard. Neurotherapeutics. 16(1). 36–51. 41 indexed citations
10.
Abhinav, Kumar, David M. Panczykowski, Wei‐Hsin Wang, et al.. (2017). Endoscopic Endonasal Interdural Middle Fossa Approach to the Maxillary Nerve: Anatomic Considerations and Surgical Relevance. Operative Neurosurgery. 13(4). 522–528. 7 indexed citations
11.
Yoshino, Masanori, Kumar Abhinav, Fang‐Cheng Yeh, et al.. (2016). Visualization of Cranial Nerves Using High-Definition Fiber Tractography. Neurosurgery. 79(1). 146–165. 63 indexed citations
12.
Abhinav, Kumar, Fang‐Cheng Yeh, Alireza Mansouri, Gelareh Zadeh, & Juan C. Fernandez‐Miranda. (2015). High-definition fiber tractography for the evaluation of perilesional white matter tracts in high-grade glioma surgery. Neuro-Oncology. 17(9). nov113–nov113. 73 indexed citations
13.
Abhinav, Kumar, Wei‐Hsin Wang, Maria Koutourousiou, et al.. (2015). Endoscopic Endonasal Approach to the Optic Canal. Operative Neurosurgery. 11(3). 431–446. 44 indexed citations
14.
Wang, Wei‐Hsin, Kumar Abhinav, Eric W. Wang, et al.. (2015). Endoscopic Endonasal Transclival Transcondylar Approach for Foramen Magnum Meningiomas. Operative Neurosurgery. 12(2). 153–162. 19 indexed citations
15.
Abhinav, Kumar, Fang‐Cheng Yeh, Sudhir Pathak, et al.. (2014). Advanced diffusion MRI fiber tracking in neurosurgical and neurodegenerative disorders and neuroanatomical studies: A review. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(11). 2286–2297. 88 indexed citations
16.
Abhinav, Kumar, Fang‐Cheng Yeh, Yue‐Fang Chang, et al.. (2014). Use of diffusion spectrum imaging in preliminary longitudinal evaluation of amyotrophic lateral sclerosis: development of an imaging biomarker. Frontiers in Human Neuroscience. 8. 270–270. 24 indexed citations
17.
Abhinav, Kumar, Sudhir Pathak, R. Mark Richardson, et al.. (2014). Application of High-Definition Fiber Tractography in the Management of Supratentorial Cavernous Malformations. Neurosurgery. 74(6). 668–681. 22 indexed citations
18.
Abhinav, Kumar, et al.. (2013). Use of robot-guided stereotactic placement of intracerebral electrodes for investigation of focal epilepsy: initial experience in the UK. British Journal of Neurosurgery. 27(5). 704–705. 29 indexed citations
19.
Abhinav, Kumar, et al.. (2012). Trochlear myokymia secondary to cerebellopontine angle arachnoid cyst. British Journal of Neurosurgery. 26(5). 754–755. 8 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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