Markus Grassl

4.5k citations
79 papers · 1.6k indexed · h-index 21

Impact in

Papers in

Markus Grassl

74 papers receiving 1.6k citations

Peers

Markus Grassl
Comparison fields: 5 of 53
  • Artificial Intelligence 1.5k
  • Computational Theory and Mathematics 633
  • Atomic and Molecular Physics, and Optics 667
  • Discrete Mathematics and Combinatorics 57
  • Computational Mathematics 6
Replace Martin Rötteler with:
Martin Rötteler United States
Edwin Barnes United States
Vivek Shende United States
Zeph Landau United States
Koenraad M. R. Audenaert United Kingdom
John Watrous Canada
Dorit Aharonov Israel
Paweł Wocjan United States
Joachim von zur Gathen Germany
Andris Ambainis Latvia
Markus Grassl relative to Martin Rötteler United States Martin Rötteler's profile →
Citations per field
00.5×2.8×
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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997219
2 2004188
3 2010156
4 1998112
5 199979
6 200055
7 200354
8 200752
9 201545
10 201537
11 200535
12 200435
13 202235
14 200134
15 200633
16 202131
17 201830
18 200924
19 199924
20 201521

About Markus Grassl

Markus Grassl is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Discrete Mathematics and Combinatorics, having authored 79 papers that have together received 1.6k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (50 papers), Quantum Information and Cryptography (39 papers), Coding theory and cryptography (25 papers), Quantum-Dot Cellular Automata (24 papers), Quantum Mechanics and Applications (17 papers), graph theory and CDMA systems (10 papers), Finite Group Theory Research (9 papers) and Quantum and electron transport phenomena (5 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computational Theory and Mathematics (633 citations), Atomic and Molecular Physics, and Optics (667 citations), Discrete Mathematics and Combinatorics (57 citations) and Computational Mathematics (6 citations). Markus Grassl has collaborated with scholars based in Germany, Singapore and United States. Frequent co-authors include Martin Rötteler, Thomas Beth, T. Beth, A.J. Scott, T. Pellizzari, David Biron, Ofer Biham, Daniel A. Lidar, Eli Biham and Bei Zeng. Their work appears in journals such as Physical Review A, IEEE Transactions on Information Theory, Quantum Information Processing, Designs Codes and Cryptography and Quantum Information and Computation.

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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