Patrick Schwab

1.6k citations
66 papers · 815 · h-index 17

Impact in

Papers in

Patrick Schwab

60 papers receiving 789 citations

Peers

Patrick Schwab
Comparison fields: 5 of 143
  • Health Informatics 37
  • Condensed Matter Physics 199
  • Health Information Management 33
  • Electronic, Optical and Magnetic Materials 130
  • Artificial Intelligence 144
Replace Akira Sakai with:
Akira Sakai Japan
Richard L. J. Qiu United States
Alexander Thieme Germany
Jin Kyu Kang South Korea
Heinz U. Lemke Germany
Aonghus Lawlor Ireland
Daiju Ueda Japan
Trevor Back United Kingdom
P. R. Eastham Ireland
Jimmy Wang United States
Patrick Schwab relative to Akira Sakai Japan Akira Sakai's profile →
Citations per field
00.5×3.2×
Akira Sakai · 1×
Citations per year

Countries citing papers authored by Patrick Schwab

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199486
2 202068
3 202251
4 202149
5 201441
6 202133
7 201332
8 201931
9 200328
10 201927
11 199427
12 202121
13 199019
14 201918
15 201518
16 202317
17 199216
18 201815
19 199515
20 202113

About Patrick Schwab

Patrick Schwab is a scholar working on Condensed Matter Physics, Artificial Intelligence, Materials Chemistry, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 66 papers that have together received 815 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (13 papers), Magnetic properties of thin films (9 papers), Machine Learning in Healthcare (6 papers), Electronic and Structural Properties of Oxides (5 papers), Advanced Condensed Matter Physics (4 papers), Nuclear and radioactivity studies (4 papers), Graphite, nuclear technology, radiation studies (4 papers) and Artificial Intelligence in Healthcare and Education (4 papers). The work is most often cited by research in Health Informatics (37 citations), Condensed Matter Physics (199 citations), Health Information Management (33 citations), Electronic, Optical and Magnetic Materials (130 citations) and Artificial Intelligence (144 citations). Patrick Schwab has collaborated with scholars based in Switzerland, Austria and Germany. Frequent co-authors include Walter Karlen, D. Bäuerle, Stefan Bauer, W. Lang, Jürgen Hetzel, Uli Lemmer, Hans‐Jürgen Eisler, Leo Anthony Celi, J. Heitz and Sergios Gatidis. Their work appears in journals such as Physica C Superconductivity, Applied Physics A, Physica B Condensed Matter, npj Digital Medicine and Physical review. B, Condensed matter.

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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