H. Junklewitz

1.6k total citations
25 papers, 571 citations indexed

About

H. Junklewitz is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, H. Junklewitz has authored 25 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Astronomy and Astrophysics, 7 papers in Artificial Intelligence and 7 papers in Nuclear and High Energy Physics. Recurrent topics in H. Junklewitz's work include Astrophysics and Cosmic Phenomena (7 papers), Radio Astronomy Observations and Technology (7 papers) and Explainable Artificial Intelligence (XAI) (4 papers). H. Junklewitz is often cited by papers focused on Astrophysics and Cosmic Phenomena (7 papers), Radio Astronomy Observations and Technology (7 papers) and Explainable Artificial Intelligence (XAI) (4 papers). H. Junklewitz collaborates with scholars based in Germany, Italy and France. H. Junklewitz's co-authors include Ronan Hamon, T. A. Enßlin, M. R. Bell, Niels Oppermann, Marco Selig, Ignacio Sanchez, Gianclaudio Malgieri, Paul De Hert, V. Vacca and E. Carretti and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, IEEE Access and Astronomy and Astrophysics.

In The Last Decade

H. Junklewitz

24 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Junklewitz Germany 13 273 162 137 76 48 25 571
Hantian Zhang Switzerland 9 52 0.2× 153 0.9× 8 0.1× 11 0.1× 5 0.1× 15 362
Michael Doran United States 19 1.2k 4.5× 45 0.3× 1.0k 7.6× 8 0.1× 2 0.0× 51 1.5k
Simon Pope United Kingdom 17 367 1.3× 314 1.9× 32 0.2× 5 0.1× 39 1.1k
Marcellin Atemkeng South Africa 11 198 0.7× 81 0.5× 137 1.0× 1 0.0× 2 0.0× 35 403
Gary Doran United States 13 234 0.9× 123 0.8× 24 0.2× 7 0.1× 41 513
Gaurav Goswami India 18 188 0.7× 201 1.2× 185 1.4× 11 0.1× 1 0.0× 51 1.0k
C. Donalek United States 13 854 3.1× 82 0.5× 187 1.4× 3 0.0× 43 1.3k
Giampaolo Cristadoro Italy 11 11 0.0× 119 0.7× 14 0.1× 35 0.5× 4 0.1× 29 423
Keir Mierle Canada 7 401 1.5× 120 0.7× 38 0.3× 3 0.0× 9 721

Countries citing papers authored by H. Junklewitz

Since Specialization
Citations

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

Fields of papers citing papers by H. Junklewitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Junklewitz

This figure shows the co-authorship network connecting the top 25 collaborators of H. Junklewitz. A scholar is included among the top collaborators of H. Junklewitz 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 H. Junklewitz. H. Junklewitz 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.
Llorca, David Fernández, Ronan Hamon, H. Junklewitz, et al.. (2025). Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness. European Transport Research Review. 17(1). 2 indexed citations
2.
Panigutti, Cecilia, Ronan Hamon, Isabelle Hupont, et al.. (2023). The role of explainable AI in the context of the AI Act. 1139–1150. 48 indexed citations
3.
Hamon, Ronan, H. Junklewitz, Gianclaudio Malgieri, et al.. (2021). Impossible Explanations? Beyond explainable AI in the GDPR from a COVID-19 Use Case Scenario. SSRN Electronic Journal. 6 indexed citations
4.
Hamon, Ronan, H. Junklewitz, Gianclaudio Malgieri, et al.. (2021). Impossible Explanations?. 549–559. 25 indexed citations
5.
Hamon, Ronan, et al.. (2020). Cybersecurity challenges in the uptake of Artificial Intelligence in Autonomous Driving. Joint Research Centre (European Commission). 16 indexed citations
6.
Gómez-González, Emilio, Bertin Martens, Sven Schade, et al.. (2020). Artificial Intelligence and Digital Transformation: early lessons from the COVID-19 crisis. Joint Research Centre (European Commission). 7 indexed citations
7.
Hamon, Ronan, et al.. (2019). Robustness and Explainability of Artificial Intelligence. Joint Research Centre (European Commission). 84 indexed citations
8.
Basu, Aritra, Sui Ann Mao, Andrew Fletcher, et al.. (2018). Statistical properties of Faraday rotation measure in external galaxies – I. Intervening disc galaxies. Monthly Notices of the Royal Astronomical Society. 477(2). 2528–2546. 10 indexed citations
9.
Junklewitz, H., M. R. Bell, Marco Selig, & T. A. Enßlin. (2016). RESOLVE: A new algorithm for aperture synthesis imaging of extended emission in radio astronomy. Springer Link (Chiba Institute of Technology). 42 indexed citations
10.
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
11.
Vacca, V., T. A. Enßlin, Marco Selig, et al.. (2015). Statistical methods for the analysis of rotation measure grids in large scale structures in the SKA era. 114–114. 4 indexed citations
12.
Junklewitz, H., M. R. Bell, & T. A. Enßlin. (2015). A new approach to multifrequency synthesis in radio interferometry. Astronomy and Astrophysics. 581. A59–A59. 14 indexed citations
13.
Enßlin, T. A., et al.. (2014). Improving self-calibration. Physical Review E. 90(4). 43301–43301. 5 indexed citations
14.
Oppermann, Niels, H. Junklewitz, T. A. Enßlin, et al.. (2014). Estimating extragalactic Faraday rotation. Astronomy and Astrophysics. 575. A118–A118. 113 indexed citations
15.
Selig, Marco, M. R. Bell, H. Junklewitz, et al.. (2013). NIFTY: A versatile Python library for signal inference. Astrophysics Source Code Library.
16.
Selig, Marco, M. R. Bell, H. Junklewitz, et al.. (2013). NIFTY – Numerical Information Field Theory. Astronomy and Astrophysics. 554. A26–A26. 52 indexed citations
17.
Junklewitz, H. & T. A. Enßlin. (2011). Imprints of magnetic power and helicity spectra on radio polarimetry statistics. Springer Link (Chiba Institute of Technology). 12 indexed citations
18.
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
19.
Bell, M. R., H. Junklewitz, & T. A. Enßlin. (2011). Faraday caustics. Astronomy and Astrophysics. 535. A85–A85. 15 indexed citations
20.
Bell, M. R. & H. Junklewitz. (2011). Singularities in the Faraday spectrum and their utility as probes of magnetic field properties. 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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