K. Nandra

40.7k total citations · 5 hit papers
239 papers, 10.4k citations indexed

About

K. Nandra is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, K. Nandra has authored 239 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 220 papers in Astronomy and Astrophysics, 73 papers in Nuclear and High Energy Physics and 39 papers in Instrumentation. Recurrent topics in K. Nandra's work include Astrophysical Phenomena and Observations (197 papers), Galaxies: Formation, Evolution, Phenomena (149 papers) and Gamma-ray bursts and supernovae (62 papers). K. Nandra is often cited by papers focused on Astrophysical Phenomena and Observations (197 papers), Galaxies: Formation, Evolution, Phenomena (149 papers) and Gamma-ray bursts and supernovae (62 papers). K. Nandra collaborates with scholars based in United States, Germany and United Kingdom. K. Nandra's co-authors include T. J. Turner, I. M. George, R. F. Mushotzky, K. A. Pounds, T. Yaqoob, A. Georgakakis, A. C. Fabian, Murray Brightman, A. Merloni and M. Salvato and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

K. Nandra

229 papers receiving 9.9k citations

Hit Papers

X-ray spectral modelling ... 1994 2026 2004 2015 2014 1995 1994 2007 2015 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
K. Nandra 10.0k 3.7k 1.3k 517 512 239 10.4k
R. F. Mushotzky 14.5k 1.4× 5.9k 1.6× 1.6k 1.3× 554 1.1× 366 0.7× 396 14.9k
G. P. Garmire 9.5k 1.0× 3.6k 1.0× 899 0.7× 423 0.8× 223 0.4× 281 10.0k
M. Elvis 11.8k 1.2× 4.7k 1.3× 1.4k 1.0× 417 0.8× 203 0.4× 351 12.1k
W. N. Brandt 16.5k 1.6× 5.6k 1.5× 3.1k 2.4× 573 1.1× 355 0.7× 406 16.8k
Julian H. Krolik 10.0k 1.0× 3.4k 0.9× 857 0.7× 404 0.8× 457 0.9× 197 10.4k
J. S. Kaastra 8.2k 0.8× 2.8k 0.8× 551 0.4× 975 1.9× 215 0.4× 331 8.8k
E. Churazov 8.5k 0.8× 3.3k 0.9× 904 0.7× 254 0.5× 223 0.4× 343 8.8k
G. Hasinger 7.6k 0.8× 2.7k 0.7× 1.6k 1.3× 258 0.5× 141 0.3× 267 7.9k
R. Giacconi 6.7k 0.7× 2.5k 0.7× 939 0.7× 328 0.6× 264 0.5× 186 7.3k
R. Sunyaev 9.2k 0.9× 3.8k 1.0× 407 0.3× 318 0.6× 403 0.8× 436 9.6k

Countries citing papers authored by K. Nandra

Since Specialization
Citations

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

Fields of papers citing papers by K. Nandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Nandra

This figure shows the co-authorship network connecting the top 25 collaborators of K. Nandra. A scholar is included among the top collaborators of K. Nandra 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 K. Nandra. K. Nandra 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.
Shreeram, Soumya, Johan Comparat, A. Merloni, et al.. (2025). Retrieving the hot circumgalactic medium physics from the X-ray radial profile from eROSITA with an IlustrisTNG-based forward model. Astronomy and Astrophysics. 703. A137–A137.
2.
Büchner, Johannes, Teng Liu, K. Nandra, et al.. (2025). The average soft X-ray spectra of eROSITA active galactic nuclei. Astronomy and Astrophysics. 701. A144–A144.
3.
Lechner, P., et al.. (2024). Silicon drift detectors for the Spectroscopy Focusing Array of eXTP. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 257–257.
4.
Zhang, Yi, Johan Comparat, G. Ponti, et al.. (2024). The hot circumgalactic medium in the eROSITA All-Sky Survey. Astronomy and Astrophysics. 690. A268–A268. 16 indexed citations
5.
Bülbül, Esra, Xiaoyuan Zhang, Matthias Kluge, et al.. (2024). The galaxy group merger origin of the Cloverleaf odd radio circle system. Astronomy and Astrophysics. 685. L2–L2. 2 indexed citations
6.
Roster, W., M. Salvato, Sven Krippendorf, et al.. (2024). PICZL: Image-based photometric redshifts for AGN. Astronomy and Astrophysics. 692. A260–A260. 1 indexed citations
7.
Zhang, Yi, Johan Comparat, G. Ponti, et al.. (2024). The hot circumgalactic medium in the eROSITA All-Sky Survey. Astronomy and Astrophysics. 693. A197–A197. 8 indexed citations
8.
Zhang, Yi, Johan Comparat, G. Ponti, et al.. (2024). The hot circumgalactic medium in the eROSITA All-Sky Survey. Astronomy and Astrophysics. 690. A267–A267. 19 indexed citations
9.
Krumpe, M., T. Miyaji, A. Georgakakis, et al.. (2023). The Spatial Clustering of ROSAT All-Sky Survey Active Galactic Nuclei. V. The Evolution of Broad-line AGN Clustering Properties in the Last 6 Gyr. The Astrophysical Journal. 952(2). 109–109. 5 indexed citations
10.
Wolf, J., K. Nandra, M. Salvato, et al.. (2022). X-ray emission from a rapidly accreting narrow-line Seyfert 1 galaxy at z = 6.56. Astronomy and Astrophysics. 669. A127–A127. 6 indexed citations
11.
Arcodia, R., G. Miniutti, G. Ponti, et al.. (2022). The complex time and energy evolution of quasi-periodic eruptions in eRO-QPE1. Astronomy and Astrophysics. 662. A49–A49. 47 indexed citations
12.
Seppi, R., Johan Comparat, K. Nandra, et al.. (2021). The mass function dependence on the dynamical state of dark matter haloes. Springer Link (Chiba Institute of Technology). 16 indexed citations
13.
Hornschemeier, A. E., F. Haberl, Antara Basu‐Zych, et al.. (2021). The eROSITA Final Equatorial-Depth Survey (eFEDS). Astronomy and Astrophysics. 661. A16–A16. 9 indexed citations
14.
Arcodia, R., G. Ponti, A. Merloni, & K. Nandra. (2020). Do stellar-mass and super-massive black holes have similar dining habits?. Springer Link (Chiba Institute of Technology). 10 indexed citations
15.
Arcodia, R., A. Merloni, K. Nandra, & G. Ponti. (2019). Testing the disk-corona interplay in radiatively-efficient broad-line AGN. Springer Link (Chiba Institute of Technology). 29 indexed citations
16.
Büchner, Johannes, Murray Brightman, K. Nandra, Robert Nikutta, & F. E. Bauer. (2019). X-ray spectral and eclipsing model of the clumpy obscurer in active galactic nuclei. Springer Link (Chiba Institute of Technology). 11 indexed citations
17.
Ananna, Tonima Tasnim, M. Salvato, Stephanie LaMassa, et al.. (2017). AGN Populations in Large-volume X-Ray Surveys: Photometric Redshifts and Population Types Found in the Stripe 82X Survey. The Astrophysical Journal. 850(1). 66–66. 45 indexed citations
18.
Böller, Thomas, M. J. Freyberg, J. Trümper, et al.. (2016). Second ROSAT all-sky survey (2RXS) source catalogue. Springer Link (Chiba Institute of Technology). 92 indexed citations
19.
Gerke, Brian F., Jeffrey A. Newman, Jennifer M. Lotz, et al.. (2006). The DEEP2 Galaxy Redshift Survey: AEGIS observations of a Dual AGN at z = 0.7. eScholarship (California Digital Library). 35 indexed citations
20.
Porquet, D., J. N. Reeves, A. Markowitz, et al.. (2006). An XMM-Newton view of the X-ray flat radio-quiet quasar PG 1416-129. Springer Link (Chiba Institute of Technology). 2 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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