Peter Staar

31 papers receiving 681 citations

Peter Staar's Hit Papers

Accelerating materials discovery using artificial intelligence, high performance computing and robotics 2022 · 241 citations
2410+1+2Years since publication50100150200

Peers

Peter Staar
Comparison fields: 5 of 106
  • Condensed Matter Physics 200
  • Health Informatics 11
  • Hardware and Architecture 38
  • Electronic, Optical and Magnetic Materials 88
  • Atomic and Molecular Physics, and Optics 135
Replace Yuguang Chen with:
Yuguang Chen China
Matthias Neubauer Austria
I. Satoh Japan
Umang Agarwal India
Ralf Wunderlich Germany
Vladimı́r Székely Hungary
G. J. Conduit United Kingdom
Dhananjay Kumar India
Werner Schindler Germany
Bo Zhang China
Peter Staar relative to Yuguang Chen China Yuguang Chen's profile →
Citations per field
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Yuguang Chen · 1×
Citations per year

Countries citing papers authored by Peter Staar

Since Specialization
Citations

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

Fields of papers citing papers by Peter Staar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Accelerating materials discovery using artificial intelligence, high performance computing and robotics
Hit paper breakdown →
2022241
2 201580
3 201179
4 202233
5 201329
6 201926
7 201422
8 201921
9 202520
10 201618
11 202218
12 202313
13 201612
14 202312
15 201610
16 20248
17 20128
18 20207
19 20147
20 20236

About Peter Staar

Peter Staar is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry, having authored 33 papers that have together received 703 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (11 papers), Quantum and electron transport phenomena (8 papers), Advanced Condensed Matter Physics (6 papers), Machine Learning in Materials Science (4 papers), Magnetic and transport properties of perovskites and related materials (3 papers), Parallel Computing and Optimization Techniques (3 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Condensed Matter Physics (200 citations), Health Informatics (11 citations), Hardware and Architecture (38 citations), Electronic, Optical and Magnetic Materials (88 citations) and Atomic and Molecular Physics, and Optics (135 citations). Peter Staar has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include T. C. Schulthess, Thomas Maier, Alessandro Curioni, Teodoro Laino, Edward O. Pyzer‐Knapp, John R. Smith, Seiji Takeda, James Sexton, Daniel P. Sanders and Jed W. Pitera. Their work appears in journals such as Physical Review B, Physical review. B., npj Computational Materials, Nature Communications and Computer Physics 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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