Daniel Litinski

909 citations
10 papers · 546 · h-index 10

Impact in

Papers in

Daniel Litinski

10 papers receiving 523 citations

Peers

Daniel Litinski
Comparison fields: 5 of 25
  • Artificial Intelligence 376
  • Atomic and Molecular Physics, and Optics 320
  • Computational Theory and Mathematics 144
  • Condensed Matter Physics 73
  • Hardware and Architecture 16
Replace James R. Wootton with:
James R. Wootton Switzerland
Shuxiang Cao United Kingdom
M. A. Rol Netherlands
Nishad Maskara United States
Peter Groszkowski United States
Michael E. Beverland United States
Martin Leib Germany
Eric R. Anschuetz United States
Panagiotis Kl. Barkoutsos Switzerland
Andrew S. Darmawan Japan
Daniel Litinski relative to James R. Wootton Switzerland James R. Wootton's profile →
Citations per field
00.5×1.5×
James R. Wootton · 1×
Citations per year

Countries citing papers authored by Daniel Litinski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Litinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniel Litinski, 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 Daniel Litinski Line = papers co-authored together Daniel Litinski links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2019177
2 2019115
3 201858
4 201750
5 201844
6 201935
7 201724
8 202415
9 201715
10 201613

About Daniel Litinski

Daniel Litinski is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electrical and Electronic Engineering, Materials Chemistry and Computer Networks and Communications, having authored 10 papers that have together received 546 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (4 papers), Quantum Computing Algorithms and Architecture (4 papers), Topological Materials and Phenomena (4 papers), Quantum many-body systems (3 papers), Quantum Information and Cryptography (3 papers), Graphene research and applications (2 papers), High-pressure geophysics and materials (1 paper) and Quantum-Dot Cellular Automata (1 paper). The work is most often cited by research in Artificial Intelligence (376 citations), Atomic and Molecular Physics, and Optics (320 citations), Computational Theory and Mathematics (144 citations), Condensed Matter Physics (73 citations) and Hardware and Architecture (16 citations). Daniel Litinski has collaborated with scholars based in Germany, Russia and Switzerland. Frequent co-authors include Felix von Oppen, Markus S. Kesselring, Jens Eisert, Yizhi You, Michele Filippone, Piet W. Brouwer, S. A. Trigger, В. Б. Бобров, Naomi Nickerson and Héctor Bombín. Their work appears in journals such as Physical review. B., Quantum, Physical Review X, Zeitschrift für Naturforschung A and Refubium (Universitätsbibliothek der Freien Universität Berlin).

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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