L. Adhikari

2.7k citations
76 papers · 1.8k indexed · 1 hit paper · h-index 25

Impact in

Papers in

L. Adhikari

66 papers receiving 1.6k citations

Hit Papers

Theory and Transport of Nearly Incompressible Magnetohydrodynamic Turbulence 2017 · 217 citations
217201720262020202350100150200

Peers

L. Adhikari
Comparison fields: 5 of 35
  • Astronomy and Astrophysics 1.8k
  • Nuclear and High Energy Physics 150
  • Artificial Intelligence 264
  • Atmospheric Science 100
  • Molecular Biology 385
Replace P. Hunana with:
P. Hunana United States
Daniele Telloni Italy
Lorenzo Matteini United Kingdom
T. V. Zaqarashvili Georgia
Bernard J. Vasquez United States
Simone Landi Italy
Benjamin D. G. Chandran United States
P. Heinzel Czechia
S. Dasso Argentina
J. A. Klimchuk United States
L. Adhikari relative to P. Hunana United States P. Hunana's profile →
Citations per field
00.5×
P. Hunana · 1×
Citations per year

Countries citing papers authored by L. Adhikari

Since Specialization
Citations

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

Fields of papers citing papers by L. Adhikari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside L. Adhikari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with L. Adhikari Line = papers co-authored together L. Adhikari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20242
5 20242
6 202414
7 20244
8 20233
9 20231
10 202311
11 202243
12 202219
13 202228
14 202124
15 202085
16 202011
17
Spectral Features in Field-aligned Solar Wind Turbulence from Parker Solar Probe Observations
20200
18 20200
19 201923
20 201916

About L. Adhikari

L. Adhikari is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Artificial Intelligence, Computational Mechanics and Oceanography, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (76 papers), Ionosphere and magnetosphere dynamics (56 papers), Astro and Planetary Science (22 papers), Geomagnetism and Paleomagnetism Studies (17 papers), Stellar, planetary, and galactic studies (14 papers), Solar Radiation and Photovoltaics (12 papers), Fluid Dynamics and Turbulent Flows (7 papers) and Geophysics and Gravity Measurements (3 papers). The work is most often cited by research in Astronomy and Astrophysics (1.8k citations), Nuclear and High Energy Physics (150 citations), Artificial Intelligence (264 citations), Atmospheric Science (100 citations) and Molecular Biology (385 citations). L. Adhikari has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include G. P. Zank, Lingling Zhao, Daniele Telloni, P. Hunana, Qiang Hu, R. Bruno, Daikou Shiota, Masaru Nakanotani, J. C. Kasper and Xueshang Feng. Their work appears in journals such as The Astrophysical Journal, The Astrophysical Journal Letters, Astronomy and Astrophysics, Journal of Plasma Physics and Space Science Reviews.

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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