Jonas Haferkamp

647 total citations
16 papers, 360 citations indexed

About

Jonas Haferkamp is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Jonas Haferkamp has authored 16 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Jonas Haferkamp's work include Quantum Computing Algorithms and Architecture (13 papers), Quantum many-body systems (7 papers) and Quantum Information and Cryptography (6 papers). Jonas Haferkamp is often cited by papers focused on Quantum Computing Algorithms and Architecture (13 papers), Quantum many-body systems (7 papers) and Quantum Information and Cryptography (6 papers). Jonas Haferkamp collaborates with scholars based in Germany, United States and Spain. Jonas Haferkamp's co-authors include Jens Eisert, Philippe Faist, Nicole Yunger Halpern, Dominik Hangleiter, Marek Gluza, Nicholas Hunter-Jones, Juan Bermejo-Vega, Hakop Pashayan, Ingo Roth and Bill Fefferman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Jonas Haferkamp

16 papers receiving 355 citations

Peers

Jonas Haferkamp
Comparison fields: 5 of 34
  • Artificial Intelligence 230
  • Atomic and Molecular Physics, and Optics 217
  • Statistical and Nonlinear Physics 59
  • Computational Theory and Mathematics 35
  • Nuclear and High Energy Physics 25
Replace Ivan Kukuljan with:
Ivan Kukuljan Germany
Christopher T. Chubb Australia
Winton Brown United States
Sevag Gharibian United States
Andrew J. Ferris Australia
Todd Tilma Japan
Daniel K. Mark United States
Jacob C. Bridgeman Australia
Markus Hauru United States
Péter Vrana Hungary
Ivan Kukuljan Germany View profile →
Citations per field, relative to Jonas Haferkamp
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Citations per year, relative to Jonas Haferkamp
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Countries citing papers authored by Jonas Haferkamp

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Haferkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Haferkamp

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Haferkamp. A scholar is included among the top collaborators of Jonas Haferkamp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonas Haferkamp. Jonas Haferkamp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 2
3 5
4 3
5 10
6 30
7 20
8 3
9 17
10 91
11 29
12 50
13 22
14 18
15 38
16 21

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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