Falk Unger

1.3k citations
14 papers · 573 · h-index 8

Impact in

Papers in

Falk Unger

14 papers receiving 539 citations

Peers

Falk Unger
Comparison fields: 5 of 40
  • Artificial Intelligence 513
  • Atomic and Molecular Physics, and Optics 440
  • Computational Theory and Mathematics 98
  • Statistical and Nonlinear Physics 58
  • History and Philosophy of Science 18
Replace Koji Nagata with:
Koji Nagata Japan
Nicolas Delfosse United States
Adam Bouland United States
Matty J. Hoban United Kingdom
Juan Bermejo-Vega Germany
Manik Banik India
Alexander Wilce United States
Denis Rosset Switzerland
Christopher Hadley United Kingdom
S. Bugajski Poland
Falk Unger relative to Koji Nagata Japan Koji Nagata's profile →
Citations per field
00.5×1.5×2.1×
Koji Nagata · 1×
Citations per year

Countries citing papers authored by Falk Unger

Since Specialization
Citations

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

Fields of papers citing papers by Falk Unger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Falk Unger, 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 Falk Unger Line = papers co-authored together Falk Unger links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2013214
2 2006178
3 200850
4 200632
5 201332
6 200625
7 200810
8 20079
9 20097
10 19955
11 20145
12
Better gates can make fault-tolerant computation impossible.
20103
13 20102
14 20071

About Falk Unger

Falk Unger is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 573 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (12 papers), Quantum Mechanics and Applications (6 papers), Quantum Information and Cryptography (6 papers), Complexity and Algorithms in Graphs (4 papers), Computability, Logic, AI Algorithms (4 papers), Low-power high-performance VLSI design (2 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Artificial Intelligence (513 citations), Atomic and Molecular Physics, and Optics (440 citations), Computational Theory and Mathematics (98 citations), Statistical and Nonlinear Physics (58 citations) and History and Philosophy of Science (18 citations). Falk Unger has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Umesh Vazirani, Ben W. Reichardt, Harry Buhrman, Noah Linden, Gilles Brassard, Alain Tapp, André Allan Méthot, Richard Cleve, Sarvagya Upadhyay and Ben W. Reichardt. Their work appears in journals such as Computational Complexity, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Nature, Physical Review Letters and IEEE Transactions on Information Theory.

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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