Daniel Haas

15 papers receiving 212 citations

Peers

Daniel Haas
Comparison fields: 5 of 41
  • Structural Biology 6
  • Nuclear and High Energy Physics 50
  • Radiation 27
  • Biophysics 18
  • Astronomy and Astrophysics 42
Replace Jan Taro Svejda with:
Jan Taro Svejda Germany
Lorenzo Valzania Switzerland
J.S.T. Ng United States
A.N. Matveenko Russia
Bianca Salmaso Italy
G. Lucchini Italy
V. K. Ovchar Russia
S. S. Serednyakov Russia
C. Castelli United Kingdom
A. Dominjon France
Daniel Haas relative to Jan Taro Svejda Germany Jan Taro Svejda's profile →
Citations per field
00.5×2×4×6×7.3×
Jan Taro Svejda · 1×
Citations per year

Countries citing papers authored by Daniel Haas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Haas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Haas Line = papers co-authored together Daniel Haas links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2018104
2 196837
3 201717
4 201014
5 201111
6 20167
7 20037
8 20126
9 20214
10 20214
11 20043
12 19532
13 20202
14 20211
15 20201
16 20110
17 20050

About Daniel Haas

Daniel Haas is a scholar working on Radiation, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Astronomy and Astrophysics and Control and Systems Engineering, having authored 17 papers that have together received 220 indexed citations. Recurring topics across this work include Gyrotron and Vacuum Electronics Research (4 papers), X-ray Spectroscopy and Fluorescence Analysis (4 papers), Nuclear Physics and Applications (4 papers), Microwave Engineering and Waveguides (3 papers), Pulsed Power Technology Applications (3 papers), Particle Detector Development and Performance (3 papers), Laser Material Processing Techniques (2 papers) and Laser and Thermal Forming Techniques (2 papers). The work is most often cited by research in Structural Biology (6 citations), Nuclear and High Energy Physics (50 citations), Radiation (27 citations), Biophysics (18 citations) and Astronomy and Astrophysics (42 citations). Daniel Haas has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Ralf Jungmann, Maximilian T. Strauss, Florian Schueder, Philipp C. Nickels, M. Thumm, C. P. de Vries, Noriko Y. Yamasaki, Kazuhisa Mitsuda, C.T. Walker and Richard L. Kelley. Their work appears in journals such as Journal of Infrared Millimeter and Terahertz Waves, Spectrochimica Acta Part B Atomic Spectroscopy, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Astronomical Telescopes Instruments and Systems and Nature Communications.

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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