Mohan Narayan

405 total citations
25 papers, 313 citations indexed

About

Mohan Narayan is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Mohan Narayan has authored 25 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nuclear and High Energy Physics, 7 papers in Biomedical Engineering and 6 papers in Fluid Flow and Transfer Processes. Recurrent topics in Mohan Narayan's work include Neutrino Physics Research (16 papers), Particle physics theoretical and experimental studies (14 papers) and Astrophysics and Cosmic Phenomena (10 papers). Mohan Narayan is often cited by papers focused on Neutrino Physics Research (16 papers), Particle physics theoretical and experimental studies (14 papers) and Astrophysics and Cosmic Phenomena (10 papers). Mohan Narayan collaborates with scholars based in India, Italy and South Korea. Mohan Narayan's co-authors include Vishwanath H. Dalvi, Pradnya N.P. Ghoderao, S. Uma Sankar, V. Berezinsky, Francesco Vissani, G. Rajasekaran, M. V. N. Murthy, Parag R. Nemade, Hun‐Soo Byun and Rahul Sinha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics B and Physics Letters B.

In The Last Decade

Mohan Narayan

21 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohan Narayan India 12 177 114 51 41 33 25 313
F. Veselý India 12 54 0.3× 191 1.7× 185 3.6× 202 4.9× 13 0.4× 36 335
G. Seiffert Germany 8 218 1.2× 30 0.3× 13 0.3× 11 0.3× 10 0.3× 8 350
A. Morais Portugal 11 250 1.4× 22 0.2× 28 0.5× 6 0.1× 37 1.1× 37 325
Thorsten Schnabel Germany 7 10 0.1× 263 2.3× 141 2.8× 96 2.3× 47 1.4× 9 368
S. Bolognesi Switzerland 9 336 1.9× 26 0.2× 7 0.1× 10 0.2× 20 401
J. Van Nieuwkoop Netherlands 8 16 0.1× 38 0.3× 43 0.8× 48 1.2× 12 215
K. J. Young United Kingdom 7 17 0.1× 309 2.7× 329 6.5× 139 3.4× 24 0.7× 8 430
Honggang Zhao United States 11 10 0.1× 374 3.3× 249 4.9× 106 2.6× 45 1.4× 12 424
К. В. Федотов Russia 9 84 0.5× 67 0.6× 1 0.0× 25 0.6× 7 0.2× 44 305
X. Tang China 9 179 1.0× 24 0.2× 2 0.0× 17 0.4× 3 0.1× 19 263

Countries citing papers authored by Mohan Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Mohan Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohan Narayan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohan Narayan. A scholar is included among the top collaborators of Mohan Narayan 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 Mohan Narayan. Mohan Narayan 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.
Ghoderao, Pradnya N.P., Mohan Narayan, Vishwanath H. Dalvi, & Hun‐Soo Byun. (2022). Predictions of thermodynamic properties of pure fluids, refrigerants, and binary mixtures using modified Peng-Robinson equation of state. Korean Journal of Chemical Engineering. 39(12). 3452–3463. 15 indexed citations
2.
Ghoderao, Pradnya N.P., et al.. (2022). Patel-Teja cubic equation of state – A review of modifications and applications till 2022. Fluid Phase Equilibria. 567. 113707–113707. 14 indexed citations
3.
Ghoderao, Pradnya N.P., et al.. (2020). Cubic equation of state as a quartic in disguise. Fluid Phase Equilibria. 531. 112908–112908. 11 indexed citations
4.
Ghoderao, Pradnya N.P., Vishwanath H. Dalvi, & Mohan Narayan. (2019). A five-parameter cubic equation of state for pure fluids and mixtures. SHILAP Revista de lepidopterología. 3. 100026–100026. 18 indexed citations
5.
Ghoderao, Pradnya N.P., Vishwanath H. Dalvi, & Mohan Narayan. (2018). A four parameter cubic equation of state with temperature dependent covolume parameter. Chinese Journal of Chemical Engineering. 27(5). 1132–1148. 20 indexed citations
6.
Narayan, Mohan, et al.. (2014). Quantum Gravity Effect on Neutrino Oscillation. International Journal of Theoretical Physics. 53(8). 2753–2759. 1 indexed citations
7.
Narayan, Mohan, et al.. (2014). Analysis of saline water desalination by directed solvent extraction using octanoic acid. Desalination. 357. 150–162. 32 indexed citations
8.
Narayan, Mohan, et al.. (2013). Quantum Gravity on Neutrino Oscillation Length. International Journal of Theoretical Physics. 52(7). 2209–2214. 1 indexed citations
9.
Narayan, Mohan, et al.. (2011). Effect of Majorana Phases in Neutrino Oscillation. International Journal of Theoretical Physics. 50(6). 1831–1836. 2 indexed citations
10.
Narayan, Mohan, et al.. (2010). Relation Between CPT Violation in Neutrino Masses and Mixings. International Journal of Theoretical Physics. 50(3). 760–766. 2 indexed citations
11.
Sankar, S. Uma, et al.. (2008). Deviation from bimaximality due to Planck scale effects. Physics Letters B. 665(2-3). 63–66. 12 indexed citations
12.
Berezinsky, V. & Mohan Narayan. (2007). Phenomenological constraints on low-scale gravity. Physical review. D. Particles, fields, gravitation, and cosmology. 75(10).
13.
Narayan, Mohan & S. Uma Sankar. (2003). ANALYTICAL CALCULATION OF MATTER EFFECTS IN TWO MASS-SCALE NEUTRINO OSCILLATIONS. Modern Physics Letters A. 18(8). 569–578.
14.
Vissani, Francesco, Mohan Narayan, & V. Berezinsky. (2003). Ue3 from physics above the GUT scale. Physics Letters B. 571(3-4). 209–216. 27 indexed citations
15.
Narayan, Mohan, G. Rajasekaran, Rahul Sinha, & C. P. Burgess. (1999). Solar neutrinos and the eclipse effect. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 60(7). 2 indexed citations
16.
Narayan, Mohan & S. Uma Sankar. (1999). Probing matter effects with neutrino long baseline experiments. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 61(1). 15 indexed citations
17.
Narayan, Mohan, G. Rajasekaran, & S. Uma Sankar. (1998). Three flavor implications of the result of the CHOOZ Collaboration. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 58(3). 16 indexed citations
18.
Narayan, Mohan, G. Rajasekaran, & Rahul Sinha. (1998). TIME-OF-NIGHT VARIATION OF SOLAR NEUTRINOS. Modern Physics Letters A. 13(24). 1915–1922. 8 indexed citations
19.
Narayan, Mohan, G. Rajasekaran, & S. Uma Sankar. (1997). Atmospheric neutrinos with three flavor mixing. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 56(1). 437–445. 11 indexed citations
20.
Narayan, Mohan, M. V. N. Murthy, G. Rajasekaran, & S. Uma Sankar. (1996). Solar and atmospheric neutrino oscillations with three flavors. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 53(5). 2809–2819. 31 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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