Niels Oppermann

4.1k total citations
26 papers, 730 citations indexed

About

Niels Oppermann is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Niels Oppermann has authored 26 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Astronomy and Astrophysics, 11 papers in Nuclear and High Energy Physics and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Niels Oppermann's work include Astrophysics and Cosmic Phenomena (9 papers), Galaxies: Formation, Evolution, Phenomena (7 papers) and Radio Astronomy Observations and Technology (7 papers). Niels Oppermann is often cited by papers focused on Astrophysics and Cosmic Phenomena (9 papers), Galaxies: Formation, Evolution, Phenomena (7 papers) and Radio Astronomy Observations and Technology (7 papers). Niels Oppermann collaborates with scholars based in Germany, Canada and United States. Niels Oppermann's co-authors include T. A. Enßlin, Ue‐Li Pen, Marco Selig, Liam Connor, V. Vacca, M. R. Bell, Hao-Ran Yu, H. Junklewitz, Kiyoshi W. Masui and Georg Robbers and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Physical review. D.

In The Last Decade

Niels Oppermann

24 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niels Oppermann Germany 14 591 274 35 34 29 26 730
Benjamin R. Barsdell Australia 11 797 1.3× 230 0.8× 14 0.4× 72 2.1× 22 0.8× 14 865
T. Matsakos Italy 10 1.1k 1.9× 326 1.2× 11 0.3× 32 0.9× 29 1.0× 18 1.2k
Youling Yue China 13 603 1.0× 197 0.7× 13 0.4× 93 2.7× 34 1.2× 41 690
Farhan Feroz United Kingdom 13 693 1.2× 468 1.7× 23 0.7× 28 0.8× 115 4.0× 31 1.0k
Nikolaos Karnesis Greece 15 595 1.0× 124 0.5× 36 1.0× 25 0.7× 36 1.2× 35 688
Marco Selig Germany 9 212 0.4× 139 0.5× 23 0.7× 22 0.6× 14 0.5× 20 343
R. Stanga Italy 13 420 0.7× 94 0.3× 31 0.9× 33 1.0× 41 1.4× 51 542
T. J. Cornwell United States 15 541 0.9× 351 1.3× 14 0.4× 67 2.0× 23 0.8× 51 643
Nirupam Roy India 18 795 1.3× 405 1.5× 15 0.4× 128 3.8× 33 1.1× 84 914

Countries citing papers authored by Niels Oppermann

Since Specialization
Citations

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

Fields of papers citing papers by Niels Oppermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niels Oppermann

This figure shows the co-authorship network connecting the top 25 collaborators of Niels Oppermann. A scholar is included among the top collaborators of Niels Oppermann 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 Niels Oppermann. Niels Oppermann 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.
Oppermann, Niels, Hao-Ran Yu, & Ue‐Li Pen. (2018). On the non-Poissonian repetition pattern of FRB121102. Monthly Notices of the Royal Astronomical Society. 475(4). 5109–5115. 68 indexed citations
2.
Anderson, C.J., Cheng‐Yu Kuo, Jaswant K. Yadav, et al.. (2018). Low-amplitude clustering in low-redshift 21-cm intensity maps cross-correlated with 2dF galaxy densities. Monthly Notices of the Royal Astronomical Society. 476(3). 3382–3392. 106 indexed citations
3.
Berger, Philippe, Niels Oppermann, Ue‐Li Pen, & J. Richard Shaw. (2017). An efficient method for removing point sources from full-sky radio interferometric maps. Monthly Notices of the Royal Astronomical Society. 472(4). 4928–4934. 3 indexed citations
4.
Enßlin, T. A., Sebastian Hutschenreuter, V. Vacca, & Niels Oppermann. (2017). The Galaxy in circular polarization: All-sky radio prediction, detection strategy, and the charge of the leptonic cosmic rays. Physical review. D. 96(4). 10 indexed citations
5.
Vacca, V., Niels Oppermann, T. A. Enßlin, et al.. (2016). Using rotation measure grids to detect cosmological magnetic fields: A Bayesian approach. Astronomy and Astrophysics. 591. A13–A13. 21 indexed citations
6.
Oppermann, Niels, Liam Connor, & Ue‐Li Pen. (2016). The Euclidean distribution of fast radio bursts. Monthly Notices of the Royal Astronomical Society. 461(1). 984–987. 33 indexed citations
7.
Selig, Marco, V. Vacca, Niels Oppermann, & T. A. Enßlin. (2016). The Denoised, Deconvolved, and Decomposed Fermi gamma-ray sky. Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015). 768–768. 1 indexed citations
8.
Selig, Marco, V. Vacca, Niels Oppermann, & T. A. Enßlin. (2015). The denoised, deconvolved, and decomposedFermiγ-ray sky. Astronomy and Astrophysics. 581. A126–A126. 41 indexed citations
9.
Heald, G., W. J. G. de Blok, R.‐J. Dettmar, et al.. (2015). Magnetic Field Tomography in Nearby Galaxies with the Square Kilometre Array. Research Explorer (The University of Manchester). 106–106. 10 indexed citations
10.
Haverkorn, M., Takuya Akahori, E. Carretti, et al.. (2015). Measuring magnetism in the Milky Way with the Square Kilometre Array. Research Explorer (The University of Manchester). 96–96. 7 indexed citations
11.
Li, Yichao, L. Staveley‐Smith, Ue‐Li Pen, et al.. (2014). Clustering of neutral hydrogen with intensity mapping - 2dFGRS cross-correlation. 641. 1 indexed citations
12.
Oppermann, Niels, H. Junklewitz, T. A. Enßlin, et al.. (2014). Estimating extragalactic Faraday rotation. Astronomy and Astrophysics. 575. A118–A118. 113 indexed citations
13.
Bell, M. R., et al.. (2013). Improved CLEAN reconstructions for rotation measure synthesis\n with maximum likelihood estimation. Springer Link (Chiba Institute of Technology). 8 indexed citations
14.
Selig, Marco, M. R. Bell, H. Junklewitz, et al.. (2013). NIFTY: A versatile Python library for signal inference. Astrophysics Source Code Library.
15.
Selig, Marco, M. R. Bell, H. Junklewitz, et al.. (2013). NIFTY – Numerical Information Field Theory. Astronomy and Astrophysics. 554. A26–A26. 52 indexed citations
16.
Dörn, Sebastian, Niels Oppermann, & T. A. Enßlin. (2013). Diagnostics for insufficiencies of posterior calculations in Bayesian signal inference. Physical Review E. 88(5). 53303–53303. 4 indexed citations
17.
Selig, Marco, Niels Oppermann, & T. A. Enßlin. (2012). Improving stochastic estimates with inference methods: Calculating matrix diagonals. Physical Review E. 85(2). 21134–21134. 9 indexed citations
18.
Bœhm, Céline, et al.. (2012). XENON100 exclusion limit without consideringLeffas a nuisance parameter. Physical review. D. Particles, fields, gravitation, and cosmology. 86(1). 6 indexed citations
19.
Oppermann, Niels, Georg Robbers, & T. A. Enßlin. (2011). Reconstructing signals from noisy data with unknown signal and noise covariance. Physical Review E. 84(4). 41118–41118. 18 indexed citations
20.
Oppermann, Niels, H. Junklewitz, Georg Robbers, & T. A. Enßlin. (2011). Probing magnetic helicity with synchrotron radiation and Faraday rotation. Astronomy and Astrophysics. 530. A89–A89. 17 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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