Bernard van Heck

2.3k citations
40 papers · 1.5k · h-index 18

Impact in

Papers in

Bernard van Heck

38 papers receiving 1.5k citations

Peers

Bernard van Heck
Comparison fields: 5 of 19
  • Condensed Matter Physics 729
  • Atomic and Molecular Physics, and Optics 1.5k
  • Materials Chemistry 399
  • Artificial Intelligence 220
  • Acoustics and Ultrasonics 4
Replace Fabrizio Dolcini with:
Fabrizio Dolcini Italy
Stephan Plugge Germany
S. M. Albrecht Denmark
Michele Burrello Italy
Alex Zazunov Germany
Gunnar Möller United Kingdom
I. V. Protopopov Russia
David J. van Woerkom Netherlands
Matthieu Dartiailh United States
Shubhayu Chatterjee United States
Bernard van Heck relative to Fabrizio Dolcini Italy Fabrizio Dolcini's profile →
Citations per field
00.5×5.0×
Fabrizio Dolcini · 1×
Citations per year

Countries citing papers authored by Bernard van Heck

Since Specialization
Citations

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

Fields of papers citing papers by Bernard van Heck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernard van Heck. 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 Bernard van Heck. The network helps show where Bernard van Heck may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012231
2 2013227
3 2015180
4 201794
5 201186
6 201679
7 201478
8 201473
9 202369
10 201858
11 201337
12 202032
13 202029
14 202327
15 202026
16 201725
17 202119
18 201318
19 202417
20 201317

About Bernard van Heck

Bernard van Heck is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Artificial Intelligence, Materials Chemistry and Computational Theory and Mathematics, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (27 papers), Topological Materials and Phenomena (27 papers), Physics of Superconductivity and Magnetism (10 papers), Quantum Information and Cryptography (8 papers), Quantum many-body systems (8 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Graphene research and applications (4 papers) and Advanced Condensed Matter Physics (4 papers). The work is most often cited by research in Condensed Matter Physics (729 citations), Atomic and Molecular Physics, and Optics (1.5k citations), Materials Chemistry (399 citations), Artificial Intelligence (220 citations) and Acoustics and Ultrasonics (4 citations). Bernard van Heck has collaborated with scholars based in Netherlands, United States and Denmark. Frequent co-authors include Anton Akhmerov, Michele Burrello, C. W. J. Beenakker, Fabian Hassler, Ion Cosma Fulga, L. I. Glazman, Timo Hyart, Roman M. Lutchyn, David J. van Woerkom and Attila Geresdi. Their work appears in journals such as Physical Review B, Physical Review Letters, Physical review. B., Nature Physics and Physical Review Applied.

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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