E. Nasedkin

1.1k total citations
20 papers, 216 citations indexed

About

E. Nasedkin is a scholar working on Astronomy and Astrophysics, Instrumentation and Atmospheric Science. According to data from OpenAlex, E. Nasedkin has authored 20 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Astronomy and Astrophysics, 7 papers in Instrumentation and 5 papers in Atmospheric Science. Recurrent topics in E. Nasedkin's work include Stellar, planetary, and galactic studies (12 papers), Astrophysics and Star Formation Studies (7 papers) and Astronomy and Astrophysical Research (7 papers). E. Nasedkin is often cited by papers focused on Stellar, planetary, and galactic studies (12 papers), Astrophysics and Star Formation Studies (7 papers) and Astronomy and Astrophysical Research (7 papers). E. Nasedkin collaborates with scholars based in Germany, Switzerland and France. E. Nasedkin's co-authors include P. Mollière, Doriann Blain, Laura Kreidberg, Aaron David Schneider, Olivier Absil, Thomas Henning, Remo Burn, Christian Eistrup, Martin Schlecker and Bertram Bitsch and has published in prestigious journals such as The Astrophysical Journal, Astronomy and Astrophysics and The Astronomical Journal.

In The Last Decade

E. Nasedkin

15 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Nasedkin Germany 7 181 54 39 36 17 20 216
Angelos Tsiaras United Kingdom 11 257 1.4× 107 2.0× 43 1.1× 30 0.8× 32 1.9× 21 287
Robert T. Zellem United States 9 242 1.3× 61 1.1× 39 1.0× 18 0.5× 20 1.2× 19 271
L. Ibgui France 10 249 1.4× 48 0.9× 24 0.6× 24 0.7× 15 0.9× 16 300
Nicole L. Wallack United States 10 270 1.5× 99 1.8× 28 0.7× 20 0.6× 36 2.1× 25 296
Christoph Leinert Germany 8 262 1.4× 37 0.7× 23 0.6× 42 1.2× 32 1.9× 29 294
Emily C. Martin United States 8 251 1.4× 106 2.0× 26 0.7× 23 0.6× 24 1.4× 27 282
Aishwarya Iyer United States 6 176 1.0× 64 1.2× 40 1.0× 26 0.7× 10 0.6× 9 194
QING-ZENG YAN China 10 249 1.4× 28 0.5× 38 1.0× 50 1.4× 20 1.2× 38 271
Veronika Witzke Germany 11 267 1.5× 75 1.4× 32 0.8× 12 0.3× 12 0.7× 25 288
J. Eduardo Méndez-Delgado Spain 9 273 1.5× 73 1.4× 23 0.6× 27 0.8× 17 1.0× 20 299

Countries citing papers authored by E. Nasedkin

Since Specialization
Citations

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

Fields of papers citing papers by E. Nasedkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Nasedkin

This figure shows the co-authorship network connecting the top 25 collaborators of E. Nasedkin. A scholar is included among the top collaborators of E. Nasedkin 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 E. Nasedkin. E. Nasedkin 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.
Vos, Johanna M., Philip S. Muirhead, Beth Biller, et al.. (2025). The JWST Weather Report from the Isolated Exoplanet Analog SIMP 0136+0933: Pressure-dependent Variability Driven by Multiple Mechanisms. The Astrophysical Journal Letters. 981(2). L22–L22. 5 indexed citations
2.
Snellen, I. A. G., N. F. Allard, Siddharth Gandhi, et al.. (2025). The ESO SupJup Survey. Astronomy and Astrophysics. 696. A225–A225. 2 indexed citations
3.
Nasedkin, E., Ben Burningham, Nicholas Cowan, et al.. (2025). The JWST weather report: Retrieving temperature variations, auroral heating, and static cloud coverage on SIMP-0136. Astronomy and Astrophysics. 702. A1–A1.
4.
Snellen, I. A. G., Yapeng Zhang, T. Stolker, et al.. (2025). The ESO SupJup Survey. Astronomy and Astrophysics. 698. A252–A252.
5.
Landman, Rico, I. A. G. Snellen, Yapeng Zhang, et al.. (2025). The ESO SupJup Survey. Astronomy and Astrophysics. 694. A164–A164. 3 indexed citations
6.
Nasedkin, E., P. Mollière, & Doriann Blain. (2024). Atmospheric Retrievals with petitRADTRANS. The Journal of Open Source Software. 9(96). 5875–5875. 15 indexed citations
7.
Blain, Doriann, P. Mollière, & E. Nasedkin. (2024). SpectralModel: a high-resolution framework forpetitRADTRANS 3. The Journal of Open Source Software. 9(102). 7028–7028. 4 indexed citations
8.
Zhang, Yapeng, I. A. G. Snellen, Siddharth Gandhi, et al.. (2024). The ESO SupJup Survey. III. Confirmation of 13CO in YSES 1 b and Atmospheric Detection of YSES 1 c with CRIRES+. The Astronomical Journal. 168(6). 246–246. 13 indexed citations
9.
Nasedkin, E., P. Mollière, Jason Wang, et al.. (2023). Impacts of high-contrast image processing on atmospheric retrievals. Astronomy and Astrophysics. 678. A41–A41. 2 indexed citations
10.
Vasist, Malavika, et al.. (2023). Neural posterior estimation for exoplanetary atmospheric retrieval. Astronomy and Astrophysics. 672. A147–A147. 24 indexed citations
11.
Christiaens, Valentin, Carlos Gómez González, E. Nasedkin, et al.. (2023). VIP: A Python package for high-contrast imaging. The Journal of Open Source Software. 8(81). 4774–4774. 22 indexed citations
12.
Mollière, P., Bertram Bitsch, Thomas Henning, et al.. (2022). Interpreting the Atmospheric Composition of Exoplanets: Sensitivity to Planet Formation Assumptions. The Astrophysical Journal. 934(1). 74–74. 1 indexed citations
13.
Mollière, P., Bertram Bitsch, Thomas Henning, et al.. (2022). Interpreting the atmospheric composition of exoplanets: sensitivity to planet formation assumptions. arXiv (Cornell University). 84 indexed citations
14.
Cantalloube, F., Valentin Christiaens, E. Nasedkin, et al.. (2022). Exoplanet imaging data challenge, phase II: characterization of exoplanet signals in high-contract images. arXiv (Cornell University). 4–4.
15.
Cugno, Gabriele, Polychronis Patapis, T. Stolker, et al.. (2021). Molecular mapping of the PDS70 system. Astronomy and Astrophysics. 653. A12–A12. 21 indexed citations
16.
Patapis, Polychronis, E. Nasedkin, Gabriele Cugno, et al.. (2021). Direct emission spectroscopy of exoplanets with the medium resolution imaging spectrometer on board JWST MIRI. Astronomy and Astrophysics. 658. A72–A72. 17 indexed citations
17.
Cugno, Gabriele, Polychronis Patapis, T. Stolker, et al.. (2021). Molecular mapping of the PDS70 system: No molecular absorption signatures from the forming planet PDS70 b. arXiv (Cornell University). 1 indexed citations
18.
Nasedkin, E.. (2017). Geochemical Research Aspects of Atmospheric Aerosol of Zaporizhia City. 39(2). 57–63. 1 indexed citations
19.
Denisov, V I, et al.. (2006). The ultrahigh resolution and sensitivity by spectral measurement on the basis of the ring laser. Journal of Quantitative Spectroscopy and Radiative Transfer. 103(2). 302–313.
20.
Denisov, V I, et al.. (2005). New potentialities of intracavity spectroscopy of matter using counterpropagating waves in a ring laser. Optics and Spectroscopy. 98(1). 47–52. 1 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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