Daniel Haas

1.4k citations
46 papers · 955 indexed · h-index 15

Impact in

    • Advanced Electron Microscopy Techniques and Applications
  • Radiation top 5%
    • Advanced X-ray Imaging Techniques
    • X-ray Spectroscopy and Fluorescence Analysis

Papers in

Daniel Haas

40 papers receiving 882 citations

Peers

Daniel Haas
Comparison fields: 5 of 144
  • Structural Biology 58
  • Radiation 208
  • Computer Science Applications 68
  • Management Science and Operations Research 73
  • Media Technology 51
Replace Kristof T. Schütt with:
Kristof T. Schütt Germany
Bernard Lang France
Yanjun Ma United States
Florian Häse Canada
Stefan Chmiela Germany
Hideitsu Hino Japan
Min Xu United States
Guangwen Yang China
Katsuhiko Murakami Japan
Simon Batzner United States
Daniel Haas relative to Kristof T. Schütt Germany Kristof T. Schütt's profile →
Citations per field
00.5×10×15×20×22.7×
Kristof T. Schütt · 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

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011213
2 201596
3 200989
4 196683
5 196575
6 197059
7 201542
8 201535
9 201630
10 201529
11 197923
12 199722
13 196420
14 196416
15 199816
16 196811
17 200811
18 196610
19 19698
20
Emerging Technologies for Rotor System Health Monitoring
19968

About Daniel Haas

Daniel Haas is a scholar working on Computer Science Applications, Media Technology, Structural Biology, Radiation and Filtration and Separation, having authored 46 papers that have together received 955 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Advanced X-ray Imaging Techniques (5 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Infrared Target Detection Methodologies (5 papers), Enzyme Structure and Function (5 papers), Privacy-Preserving Technologies in Data (4 papers), Protein Structure and Dynamics (3 papers) and Synthesis and Characterization of Heterocyclic Compounds (3 papers). The work is most often cited by research in Structural Biology (58 citations), Radiation (208 citations), Computer Science Applications (68 citations), Management Science and Operations Research (73 citations) and Media Technology (51 citations). Daniel Haas has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Alexander Rack, Timm Weitkamp, D. Wȩgrzynek, Michael J. Franklin, M.G. Rossmann, Helene R. Bello, Jake Bello, David R. Harris, Eugene Wu and Evan Sparks. Their work appears in journals such as Proceedings of the VLDB Endowment, Biopolymers, Journal of the American Chemical Society, Computers in Biology and Medicine and Journal of Synchrotron Radiation.

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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