Daniel Haas

1.4k total citations
46 papers, 955 citations indexed

About

Daniel Haas is a scholar working on Artificial Intelligence, Media Technology and Aerospace Engineering. According to data from OpenAlex, Daniel Haas has authored 46 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Media Technology and 7 papers in Aerospace Engineering. Recurrent topics in Daniel Haas's work include Remote-Sensing Image Classification (7 papers), Advanced X-ray Imaging Techniques (5 papers) and Enzyme Structure and Function (5 papers). Daniel Haas is often cited by papers focused on Remote-Sensing Image Classification (7 papers), Advanced X-ray Imaging Techniques (5 papers) and Enzyme Structure and Function (5 papers). Daniel Haas collaborates with scholars based in United States, Germany and Austria. Daniel Haas's 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 Ameet Talwalkar and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Daniel Haas

40 papers receiving 882 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Haas United States 15 208 175 173 131 129 46 955
Min Xu United States 24 64 0.3× 140 0.8× 313 1.8× 119 0.9× 527 4.1× 159 1.8k
Steven Diamond United States 22 23 0.1× 162 0.9× 135 0.8× 197 1.5× 113 0.9× 36 1.5k
Shantenu Jha United States 23 24 0.1× 151 0.9× 111 0.6× 83 0.6× 426 3.3× 152 1.7k
Bryant Gipson United States 13 29 0.1× 165 0.9× 76 0.4× 58 0.4× 294 2.3× 21 788
M. Weber Switzerland 17 134 0.6× 136 0.8× 179 1.0× 86 0.7× 83 0.6× 101 1.2k
Yanjun Ma United States 25 226 1.1× 449 2.6× 654 3.8× 106 0.8× 47 0.4× 96 2.0k
Yujia Liu China 8 72 0.3× 605 3.5× 46 0.3× 276 2.1× 119 0.9× 29 1.0k
P. Nieminen Finland 10 199 1.0× 123 0.7× 37 0.2× 35 0.3× 89 0.7× 26 641
Katsuhiko Murakami Japan 18 151 0.7× 146 0.8× 14 0.1× 282 2.2× 229 1.8× 135 1.3k

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-authorship network of co-authors of Daniel Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Haas. A scholar is included among the top collaborators of Daniel Haas 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 Daniel Haas. Daniel Haas 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.
Haas, Daniel, Margareth Ribe, Nina E. Hasselberg, et al.. (2025). DeepValve: The first automatic detection pipeline for the mitral valve in Cardiac Magnetic Resonance imaging. Computers in Biology and Medicine. 192(Pt A). 110211–110211.
2.
Jamieson, Kevin, Daniel Haas, & Benjamin Recht. (2016). The Power of Adaptivity in Identifying Statistical Alternatives. Neural Information Processing Systems. 29. 775–783. 3 indexed citations
3.
Haas, Daniel, et al.. (2015). Argonaut. Proceedings of the VLDB Endowment. 8(12). 1642–1653. 42 indexed citations
4.
Sparks, Evan, Ameet Talwalkar, Daniel Haas, et al.. (2015). Automating model search for large scale machine learning. 368–380. 96 indexed citations
5.
Haas, Daniel, Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, & Eugene Wu. (2015). Wisteria. Proceedings of the VLDB Endowment. 8(12). 2004–2007. 29 indexed citations
6.
Haas, Daniel, et al.. (2013). Reducing Error in Context-Sensitive Crowdsourced Tasks. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 1. 28–29. 2 indexed citations
7.
Weitkamp, Timm, Daniel Haas, D. Wȩgrzynek, & Alexander Rack. (2011). ANKAphase: software for single-distance phase retrieval from inline X-ray phase-contrast radiographs. Journal of Synchrotron Radiation. 18(4). 617–629. 213 indexed citations
8.
Mayer, Rulon, J. A. Antoniades, Mark M. Baumback, et al.. (2007). Shadowed object detection for hyperspectral imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6678. 66780L–66780L. 3 indexed citations
9.
Nguyen, Phong H., et al.. (2006). Enhancing DON Helicopter Flight Operations Using Available Flight Related Data. 1 indexed citations
10.
Haas, Daniel, et al.. (2003). JAHUMS ACTD-a case study in open systems from a technology insertion perspective. B.6-6 vol.2. 9.B.5–1. 1 indexed citations
11.
Haas, Daniel. (2002). A geometric study of the toric varieties determined by the root systems A(n), B(n) and C(n).. Deep Blue (University of Michigan). 1 indexed citations
12.
Bowles, Jeffrey H., David Gillis, P. J. Palmadesso, et al.. (1999). <title>New results from the ORASIS/NEMO compression algorithm</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3753. 226–234. 6 indexed citations
13.
Haas, Daniel, et al.. (1996). Emerging Technologies for Rotor System Health Monitoring. 8 indexed citations
14.
Jenkins, R. & Daniel Haas. (1975). Incidence, detection and monitoring of radiation from X‐ray analytical instrumentation. X-Ray Spectrometry. 4(1). 33–42.
15.
Haas, Daniel & M.G. Rossmann. (1970). Crystallographic studies on lactate dehydrogenase at –75°C. Acta Crystallographica Section B. 26(7). 998–1004. 59 indexed citations
16.
Leberman, R., Ira E. Smiley, Daniel Haas, & Michael G. Rossmann. (1969). Crystalline ternary complexes of lactate dehydrogenase. Journal of Molecular Biology. 46(1). 217–219. 8 indexed citations
17.
Haas, Daniel. (1968). X-ray studies on lysozyme crystals at –50°C. Acta Crystallographica Section B. 24(4). 604–604. 11 indexed citations
18.
Bello, Jake, Daniel Haas, & Helene R. Bello. (1966). Interactions of Protein-Denaturing Salts with Model Amides*. Biochemistry. 5(8). 2539–2548. 83 indexed citations
19.
Haas, Daniel, et al.. (1965). The structure of the crystalline intermolecular complex: guanidinium chloride–disorderedN,N-dimethylacetamide(3:l). Acta Crystallographica. 18(4). 623–627. 1 indexed citations
20.
Haas, Daniel. (1965). Intermolecular complexes. III. L-Cysteine ethyl ester hydrochloride–urea(l:1). Acta Crystallographica. 19(5). 860–861. 6 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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