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

H. Junklewitz
Comparison fields: 5 of 97
  • Astronomy and Astrophysics 273
  • Artificial Intelligence 162
  • Nuclear and High Energy Physics 137
  • Safety Research 76
  • Health Informatics 48
Hantian Zhang Switzerland
Michael Doran United States
Simon Pope United Kingdom
Marcellin Atemkeng South Africa
Gary Doran United States
Gaurav Goswami India
C. Donalek United States
Giampaolo Cristadoro Italy
Keir Mierle Canada
Hantian Zhang Switzerland View profile →
Citations per field, relative to H. Junklewitz
H. Junklewitz · 1×
Citations per year, relative to H. Junklewitz
H. Junklewitz · 1×

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
# Work Indexed citations
1 2
2 48
3
Impossible Explanations? Beyond explainable AI in the GDPR from a COVID-19 Use Case Scenario
6
4 25
5 16
6 7
7 84
8 10
9 42
10 21
11 4
12 14
13 5
14 113
15
NIFTY: A versatile Python library for signal inference
0
16 52
17 12
18 17
19 15
20
Singularities in the Faraday spectrum and their utility as probes of magnetic field properties
1

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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