Martin Suchara

77 total papers · 1.5k total citations
37 papers, 796 citations indexed

About

Martin Suchara is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Martin Suchara has authored 37 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 17 papers in Atomic and Molecular Physics, and Optics and 10 papers in Computer Networks and Communications. Recurrent topics in Martin Suchara's work include Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (20 papers) and Quantum and electron transport phenomena (9 papers). Martin Suchara is often cited by papers focused on Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (20 papers) and Quantum and electron transport phenomena (9 papers). Martin Suchara collaborates with scholars based in United States, Germany and Sweden. Martin Suchara's co-authors include Jennifer Rexford, Sergey Bravyi, David S. Johnson, Robert Doverspike, Dahai Xu, Teague Tomesh, Jiayue He, Frederic T. Chong, Margaret Martonosi and Pranav Gokhale and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical Review A.

In The Last Decade

Martin Suchara

35 papers receiving 770 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Martin Suchara	391	372	315	213	113	37	796
Muyuan Li	542 1.4×	154 0.4×	226 0.7×	213 1.0×	93 0.8×	28	819
Gerald Baumgartner	392 1.0×	379 1.0×	127 0.4×	298 1.4×	67 0.6×	62	1.0k
Jean–Pierre Tillich	559 1.4×	191 0.5×	193 0.6×	56 0.3×	271 2.4×	47	740
Shun Watanabe	280 0.7×	179 0.5×	522 1.7×	279 1.3×	96 0.8×	71	777
Lev B. Levitin	441 1.1×	329 0.9×	246 0.8×	295 1.4×	177 1.6×	58	881
Toshiyuki Miyazawa	504 1.3×	65 0.2×	491 1.6×	509 2.4×	111 1.0×	28	955
Alejandro Aguado	407 1.0×	251 0.7×	371 1.2×	204 1.0×	91 0.8×	46	791
T. Beth	838 2.1×	108 0.3×	98 0.3×	449 2.1×	181 1.6×	47	1.0k
Jaikumar Radhakrishnan	474 1.2×	361 1.0×	208 0.7×	79 0.4×	491 4.3×	70	990
Edgar Solomonik	231 0.6×	301 0.8×	65 0.2×	82 0.4×	81 0.7×	40	760

Countries citing papers authored by Martin Suchara

Since Specialization

Citations

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

Fields of papers citing papers by Martin Suchara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Suchara

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Suchara. A scholar is included among the top collaborators of Martin Suchara 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 Martin Suchara. Martin Suchara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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