Peter Staar

1.4k citations
37 papers · 826 · 2 hit papers · h-index 14

Impact in

Papers in

Peter Staar

35 papers receiving 804 citations

Peter Staar's Hit Papers

Foundation models for materials discovery – current state and future directions 2025 · 32 citations
320+1+2Years since publication50100150200250

Peers

Peter Staar
Comparison fields: 5 of 108
  • Condensed Matter Physics 203
  • Health Informatics 10
  • Hardware and Architecture 47
  • Electronic, Optical and Magnetic Materials 93
  • Computational Mathematics 3
Replace Yuguang Chen with:
Yuguang Chen China
I. Satoh Japan
Shu Tanaka Japan
Umang Agarwal India
Yu‐Cheng Lin Taiwan
Bo Zhang China
Dhananjay Kumar India
Ralf Wunderlich Germany
Ayan Kumar Das India
Vladimı́r Székely Hungary
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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 37 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 →
2022270
2 201593
3 201181
4 202259
5
Foundation models for materials discovery – current state and future directions
Hit paper breakdown →
202532
6 201329
7 201927
8 201924
9 202223
10 201422
11 201619
12 201616
13 202314
14 202313
15 202411
16 201610
17 20129
18 20239
19 20248
20 20207

About Peter Staar

Peter Staar is a scholar working on Condensed Matter Physics, Artificial Intelligence, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 37 papers that have together received 826 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), Handwritten Text Recognition Techniques (4 papers), Topic Modeling (4 papers), Machine Learning in Materials Science (4 papers), Natural Language Processing Techniques (3 papers) and Graph Theory and Algorithms (3 papers). The work is most often cited by research in Condensed Matter Physics (203 citations), Health Informatics (10 citations), Hardware and Architecture (47 citations), Electronic, Optical and Magnetic Materials (93 citations) and Computational Mathematics (3 citations). Peter Staar has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Alessandro Curioni, T. C. Schulthess, Thomas Maier, Teodoro Laino, John R. Smith, Edward O. Pyzer‐Knapp, Jed W. Pitera, Seiji Takeda, Daniel P. Sanders and James Sexton. Their work appears in journals such as Physical Review B, Physical review. B., npj Computational Materials, Nature Communications and Earth s Future.

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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