Markus Grassl

4.9k citations
106 papers · 2.8k · h-index 26

Impact in

Papers in

Markus Grassl

102 papers receiving 2.7k citations

Peers

Markus Grassl
Comparison fields: 5 of 77
  • Artificial Intelligence 2.4k
  • Computational Theory and Mathematics 998
  • Atomic and Molecular Physics, and Optics 1.1k
  • Discrete Mathematics and Combinatorics 74
  • Computational Mathematics 8
Replace Martin Rötteler with:
Martin Rötteler United States
Edwin Barnes United States
John Watrous Canada
Zeph A. Landau United States
Vivek Shende United States
Nilanjana Datta United Kingdom
Thomas Vidick United States
Koenraad M. R. Audenaert United Kingdom
Andris Ambainis Latvia
Andrew M. Childs United States
Markus Grassl relative to Martin Rötteler United States Martin Rötteler's profile →
Citations per field
00.5×2×3×4×4.5×
Martin Rötteler · 1×
Citations per year

Countries citing papers authored by Markus Grassl

Since Specialization
Citations

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

Fields of papers citing papers by Markus Grassl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005272
2 1997262
3 2004209
4 2016203
5 2010173
6 1998119
7 199987
8 200765
9 200364
10 200056
11 200355
12 201655
13 201554
14 199952
15 200545
16 201542
17 200141
18 200739
19 200438
20 202238

About Markus Grassl

Markus Grassl is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Discrete Mathematics and Combinatorics and Applied Mathematics, having authored 106 papers that have together received 2.8k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (68 papers), Quantum Information and Cryptography (57 papers), Quantum-Dot Cellular Automata (35 papers), Coding theory and cryptography (30 papers), Quantum Mechanics and Applications (20 papers), graph theory and CDMA systems (12 papers), Finite Group Theory Research (9 papers) and Quantum and electron transport phenomena (7 papers). The work is most often cited by research in Artificial Intelligence (2.4k citations), Computational Theory and Mathematics (998 citations), Atomic and Molecular Physics, and Optics (1.1k citations), Discrete Mathematics and Combinatorics (74 citations) and Computational Mathematics (8 citations). Markus Grassl has collaborated with scholars based in Germany, Singapore and United States. Frequent co-authors include Martin Rötteler, Thomas Beth, T. Beth, Thomas Pellizzari, Andrew J. Scott, Rainer Steinwandt, Martin Roetteler, Eli Biham, Daniel Lidar and David Biron. Their work appears in journals such as Physical Review A, IEEE Transactions on Information Theory, Quantum Information Processing, Designs Codes and Cryptography and Physical Review Letters.

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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