Mandar Patil

938 total citations
26 papers, 659 citations indexed

About

Mandar Patil is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mandar Patil has authored 26 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Astronomy and Astrophysics, 15 papers in Nuclear and High Energy Physics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mandar Patil's work include Astrophysical Phenomena and Observations (14 papers), Pulsars and Gravitational Waves Research (13 papers) and Astrophysics and Cosmic Phenomena (9 papers). Mandar Patil is often cited by papers focused on Astrophysical Phenomena and Observations (14 papers), Pulsars and Gravitational Waves Research (13 papers) and Astrophysics and Cosmic Phenomena (9 papers). Mandar Patil collaborates with scholars based in India, Japan and Poland. Mandar Patil's co-authors include Pankaj S. Joshi, Daniele Malafarina, D. Narasimha, Ken-ichi Nakao, Masashi Kimura, Bobomurat Ahmedov, Sanjar Shaymatov, A. Królak, Prashant Kocherlakota and Tomohiro Harada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters B and Europhysics Letters (EPL).

In The Last Decade

Mandar Patil

25 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mandar Patil India 15 632 489 74 31 16 26 659
Leonardo Mastrototaro Italy 13 308 0.5× 361 0.7× 60 0.8× 25 0.8× 7 0.4× 20 412
Prashant Kocherlakota United States 10 367 0.6× 254 0.5× 26 0.4× 29 0.9× 13 0.8× 13 390
Ke-Jian He China 13 595 0.9× 462 0.9× 57 0.8× 35 1.1× 4 0.3× 33 637
Óscar Zapata Colombia 18 508 0.8× 742 1.5× 25 0.3× 28 0.9× 10 0.6× 41 832
Razieh Emami United States 17 575 0.9× 302 0.6× 23 0.3× 17 0.5× 7 0.4× 48 603
Y. Verbin Israel 10 243 0.4× 233 0.5× 60 0.8× 34 1.1× 8 0.5× 38 296
Xiao Yan Chew South Korea 10 275 0.4× 214 0.4× 54 0.7× 19 0.6× 5 0.3× 24 308
Xing-Hui Feng China 11 414 0.7× 368 0.8× 120 1.6× 28 0.9× 3 0.2× 18 441
Camila S. Machado Brazil 11 214 0.3× 438 0.9× 19 0.3× 40 1.3× 7 0.4× 12 470

Countries citing papers authored by Mandar Patil

Since Specialization
Citations

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

Fields of papers citing papers by Mandar Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mandar Patil

This figure shows the co-authorship network connecting the top 25 collaborators of Mandar Patil. A scholar is included among the top collaborators of Mandar Patil 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 Mandar Patil. Mandar Patil 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.
Patil, Mandar, et al.. (2024). Spine Surgery in a Geriatric Population. Is it Really Different?. Neurology India. 72(2). 345–351. 1 indexed citations
2.
Patil, Mandar, et al.. (2023). Random Forest Regressor Approach for Predicting Resale Value of used Vehicles (RFRVP). 1–6. 2 indexed citations
3.
Patil, Mandar, et al.. (2023). A Review on Melanoma Cancer Detection Using Artificial Intelligence. International Journal for Research in Applied Science and Engineering Technology. 11(2). 1335–1339. 3 indexed citations
4.
Patil, Mandar, et al.. (2021). Outcome Prediction in Patients of Traumatic Brain Injury Based on Midline Shift on CT Scan of Brain. SHILAP Revista de lepidopterología. 10(3). 210–215. 4 indexed citations
5.
Patil, Mandar, et al.. (2020). Gravitational lensing signature of matter distribution around Schwarzschild black hole. Physical review. D. 101(6). 5 indexed citations
7.
Patil, Mandar, Tomohiro Harada, Ken-ichi Nakao, Pankaj S. Joshi, & Masashi Kimura. (2016). Infinite efficiency of the collisional Penrose process: Can a overspinning Kerr geometry be the source of ultrahigh-energy cosmic rays and neutrinos?. Physical review. D. 93(10). 21 indexed citations
8.
Patil, Mandar, et al.. (2016). Detection of aggressive driving behavior and fault behavior using pattern matching. 207–211. 4 indexed citations
9.
Patil, Mandar, Pankaj S. Joshi, Ken-ichi Nakao, Masashi Kimura, & Tomohiro Harada. (2015). Timescale for trans-Planckian collisions in Kerr spacetime. Europhysics Letters (EPL). 110(3). 30004–30004. 5 indexed citations
10.
Shaymatov, Sanjar, Mandar Patil, Bobomurat Ahmedov, & Pankaj S. Joshi. (2015). Destroying a near-extremal Kerr black hole with a charged particle: Can a test magnetic field serve as a cosmic censor?. Physical review. D. Particles, fields, gravitation, and cosmology. 91(6). 38 indexed citations
11.
Nakao, Ken-ichi, Masashi Kimura, Tomohiro Harada, Mandar Patil, & Pankaj S. Joshi. (2014). How small can an over-spinning body be in general relativity?. Physical review. D. Particles, fields, gravitation, and cosmology. 90(12). 7 indexed citations
12.
Patil, Mandar, et al.. (2013). Time delay between relativistic images as a probe of cosmic censorship. Physical review. D. Particles, fields, gravitation, and cosmology. 88(10). 21 indexed citations
13.
Nakao, Ken-ichi, Masashi Kimura, Mandar Patil, & Pankaj S. Joshi. (2013). Ultrahigh energy collision with neither black hole nor naked singularity. Physical review. D. Particles, fields, gravitation, and cosmology. 87(10). 14 indexed citations
14.
Patil, Mandar & Pankaj S. Joshi. (2012). Ultrahigh energy particle collisions in a regular spacetime without black holes or naked singularities. Physical review. D. Particles, fields, gravitation, and cosmology. 86(4). 28 indexed citations
15.
Patil, Mandar, et al.. (2012). Can strong gravitational lensing distinguish naked singularities from black holes?. Physical review. D. Particles, fields, gravitation, and cosmology. 86(6). 57 indexed citations
16.
Patil, Mandar, et al.. (2012). Circular geodesics and accretion disks in the Janis-Newman-Winicour and gamma metric spacetimes. Physical review. D. Particles, fields, gravitation, and cosmology. 85(10). 106 indexed citations
17.
Patil, Mandar & Pankaj S. Joshi. (2011). Kerr naked singularities as particle accelerators. Classical and Quantum Gravity. 28(23). 235012–235012. 68 indexed citations
18.
Patil, Mandar, Pankaj S. Joshi, & Daniele Malafarina. (2011). Naked singularities as particle accelerators. II.. Physical review. D. Particles, fields, gravitation, and cosmology. 83(6). 41 indexed citations
19.
Patil, Mandar & Pankaj S. Joshi. (2011). High energy particle collisions in superspinning Kerr geometry. Physical review. D. Particles, fields, gravitation, and cosmology. 84(10). 43 indexed citations
20.
Patil, Mandar & Pankaj S. Joshi. (2010). Naked singularities as particle accelerators. Physical review. D. Particles, fields, gravitation, and cosmology. 82(10). 40 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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