Nishtha Sachdeva

432 total citations
20 papers, 241 citations indexed

About

Nishtha Sachdeva is a scholar working on Astronomy and Astrophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Nishtha Sachdeva has authored 20 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Astronomy and Astrophysics, 4 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Nishtha Sachdeva's work include Solar and Space Plasma Dynamics (19 papers), Ionosphere and magnetosphere dynamics (14 papers) and Stellar, planetary, and galactic studies (7 papers). Nishtha Sachdeva is often cited by papers focused on Solar and Space Plasma Dynamics (19 papers), Ionosphere and magnetosphere dynamics (14 papers) and Stellar, planetary, and galactic studies (7 papers). Nishtha Sachdeva collaborates with scholars based in United States, Argentina and France. Nishtha Sachdeva's co-authors include B. van der Holst, W. B. Manchester, G. Tóth, Zhenguang Huang, Yuxi Chen, A. M. Vásquez, И. В. Соколов, Lulu Zhao, C. J. Henney and T. I. Gombosi and has published in prestigious journals such as The Astrophysical Journal, Astronomy and Astrophysics and Solar Physics.

In The Last Decade

Nishtha Sachdeva

15 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nishtha Sachdeva United States 8 227 62 32 12 10 20 241
Suzy Bingham United Kingdom 6 121 0.5× 34 0.5× 25 0.8× 17 1.4× 15 133
V. G. Lozitsky Ukraine 10 246 1.1× 56 0.9× 61 1.9× 6 0.5× 66 254
Yeon-Han Kim South Korea 11 249 1.1× 53 0.9× 27 0.8× 2 0.2× 34 269
Navin Chandra Joshi India 15 414 1.8× 90 1.5× 46 1.4× 20 1.7× 2 0.2× 22 434
Andrea Francesco Battaglia Switzerland 10 245 1.1× 22 0.4× 59 1.8× 10 0.8× 27 261
Michael S. Kirk United States 8 185 0.8× 36 0.6× 49 1.5× 4 0.3× 24 205
R. M. Evans United States 10 352 1.6× 119 1.9× 30 0.9× 8 0.7× 18 360
Y. W. Ni China 11 219 1.0× 48 0.8× 15 0.5× 12 1.0× 22 234
R. Boyle United States 4 233 1.0× 38 0.6× 45 1.4× 8 0.7× 5 249
Adriana M. Gulisano Argentina 10 343 1.5× 110 1.8× 12 0.4× 18 1.5× 23 355

Countries citing papers authored by Nishtha Sachdeva

Since Specialization
Citations

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

Fields of papers citing papers by Nishtha Sachdeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishtha Sachdeva

This figure shows the co-authorship network connecting the top 25 collaborators of Nishtha Sachdeva. A scholar is included among the top collaborators of Nishtha Sachdeva 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 Nishtha Sachdeva. Nishtha Sachdeva 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.
Zhao, Lulu, J. Giacalone, Nishtha Sachdeva, et al.. (2025). Evidence of Time-dependent Diffusive Shock Acceleration in the 2022 September 5 Solar Energetic Particle Event. The Astrophysical Journal. 994(2). 242–242.
2.
Vásquez, A. M., A. Burtovoi, P. Lamy, et al.. (2025). Photometric Comparison of Metis and LASCO-C2 Polarized Brightness Images. Solar Physics. 300(1). 2 indexed citations
4.
Sachdeva, Nishtha, Zhenguang Huang, B. van der Holst, et al.. (2025). Decent Estimate of CME Arrival Time From a Data‐Assimilated Ensemble in the Alfvén Wave Solar Atmosphere Model (DECADE‐AWSoM). Space Weather. 23(1). 2 indexed citations
5.
Соколов, И. В., Lulu Zhao, T. I. Gombosi, et al.. (2025). Physics-based Simulation of the 2013 April 11 Solar Energetic Particle Event. The Astrophysical Journal. 985(1). 82–82. 1 indexed citations
6.
Zhao, Lulu, И. В. Соколов, T. I. Gombosi, et al.. (2024). Solar Wind With Field Lines and Energetic Particles (SOFIE) Model: Application to Historical Solar Energetic Particle Events. Space Weather. 22(9). 5 indexed citations
7.
Huang, Zhenguang, G. Tóth, Jia Huang, et al.. (2024). Adjusting the Potential Field Source Surface Height Based on Magnetohydrodynamic Simulations. The Astrophysical Journal Letters. 965(1). L1–L1. 3 indexed citations
8.
Huang, Zhenguang, G. Tóth, Nishtha Sachdeva, & B. van der Holst. (2024). Solar Wind Driven from GONG Magnetograms in the Last Solar Cycle. The Astrophysical Journal. 965(1). 1–1. 7 indexed citations
9.
Sachdeva, Nishtha, Zhenguang Huang, Yang Chen, et al.. (2023). Global Sensitivity Analysis and Uncertainty Quantification for Background Solar Wind Using the Alfvén Wave Solar Atmosphere Model. Space Weather. 21(1). 14 indexed citations
10.
Sachdeva, Nishtha, W. B. Manchester, И. В. Соколов, et al.. (2023). Solar Wind Modeling with the Alfvén Wave Solar atmosphere Model Driven by HMI-based Near-real-time Maps by the National Solar Observatory. The Astrophysical Journal. 952(2). 117–117. 5 indexed citations
11.
Huang, Zhenguang, G. Tóth, Nishtha Sachdeva, et al.. (2023). Modeling the Solar Wind during Different Phases of the Last Solar Cycle. The Astrophysical Journal Letters. 946(2). L47–L47. 11 indexed citations
12.
Vásquez, A. M., F. Frassati, А. Бемпорад, et al.. (2022). Tomography of the Solar Corona with the Metis Coronagraph I: Predictive Simulations with Visible-Light Images. Solar Physics. 297(9). 3 indexed citations
13.
Holst, B. van der, Jia Huang, Nishtha Sachdeva, et al.. (2022). Improving the Alfvén Wave Solar Atmosphere Model Based on Parker Solar Probe Data. The Astrophysical Journal. 925(2). 146–146. 29 indexed citations
14.
Subramanian, Prasad, et al.. (2022). Characterizing the specific energy and pressure in near-Earth magnetic clouds. Astronomy and Astrophysics. 669. A153–A153.
15.
Vásquez, A. M., R. A. Frazin, W. B. Manchester, et al.. (2022). Three‐Dimensional Structure of the Corona During WHPI Campaign Rotations CR‐2219 and CR‐2223. Journal of Geophysical Research Space Physics. 127(6). 9 indexed citations
16.
Gombosi, T. I., Yuxi Chen, A. Glocer, et al.. (2021). What sustained multi-disciplinary research can achieve: The space weather modeling framework. Journal of Space Weather and Space Climate. 11. 42–42. 66 indexed citations
17.
Sachdeva, Nishtha, G. Tóth, W. B. Manchester, et al.. (2021). Simulating Solar Maximum Conditions Using the Alfvén Wave Solar Atmosphere Model (AWSoM). The Astrophysical Journal. 923(2). 176–176. 23 indexed citations
18.
Vásquez, A. M., et al.. (2020). Thermodynamic Structure of the Solar Corona: Tomographic Reconstructions and MHD Modeling. Solar Physics. 295(6). 9 indexed citations
19.
Sachdeva, Nishtha, et al.. (2020). 太陽Coronaの熱力学的構造:トモグラフィー再構成とMHDモデリング【JST・京大機械翻訳】. Solar Physics. 295(6). 76.
20.
Sachdeva, Nishtha, B. van der Holst, W. B. Manchester, et al.. (2019). Validation of the Alfvén Wave Solar Atmosphere Model (AWSoM) with Observations from the Low Corona to 1 au. The Astrophysical Journal. 887(1). 83–83. 52 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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