Raphael Hauser

32 papers receiving 363 citations

Peers

Raphael Hauser
Comparison fields: 5 of 76
  • Numerical Analysis 56
  • Cardiology and Cardiovascular Medicine 172
  • Computational Mathematics 4
  • Computational Theory and Mathematics 56
  • Radiology, Nuclear Medicine and Imaging 81
Replace Carlos Sing‐Long with:
Carlos Sing‐Long Chile
M. Kuwahara Japan
A. Cristiano I. Malossi Switzerland
Michiyoshi Kuwahara Japan
Daniele Lamponi Switzerland
Marcus Wagner Germany
Thomas Goldstein United States
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Karol Makowski Poland
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Citations per year

Countries citing papers authored by Raphael Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Raphael Hauser, 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 Raphael Hauser Line = papers co-authored together Raphael Hauser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202175
2 202170
3 200669
4 202223
5 200221
6 200219
7 200214
8 200514
9 201413
10 20188
11 20057
12 20197
13 20236
14 20085
15 20055
16 20214
17 20074
18
On search directions for self-scaled conic programming
19994
19 20063
20 20233

About Raphael Hauser

Raphael Hauser is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Cardiology and Cardiovascular Medicine, Statistics and Probability and Artificial Intelligence, having authored 41 papers that have together received 396 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (9 papers), Cardiovascular Function and Risk Factors (8 papers), Matrix Theory and Algorithms (6 papers), Face and Expression Recognition (4 papers), Cardiac Imaging and Diagnostics (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Numerical Analysis (56 citations), Cardiology and Cardiovascular Medicine (172 citations), Computational Mathematics (4 citations), Computational Theory and Mathematics (56 citations) and Radiology, Nuclear Medicine and Imaging (81 citations). Raphael Hauser has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Tor Biering‐Sørensen, Kristoffer Grundtvig Skaarup, Massimiliano Pontil, Andreas A. Argyriou, Charles A. Micchelli, Anne Bjerg Nielsen, Mats Christian Højbjerg Lassen, Rasmus Møgelvang, Niklas Dyrby Johansen and Peter Schnohr. Their work appears in journals such as SIAM Journal on Optimization, Foundations of Computational Mathematics, European Heart Journal - Cardiovascular Imaging, International Journal of Cardiology and Advances in Applied Probability.

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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