Raoul Heese

59 total papers · 1.2k total citations
20 papers, 573 citations indexed

About

Raoul Heese is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Raoul Heese has authored 20 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 4 papers in Control and Systems Engineering. Recurrent topics in Raoul Heese's work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (7 papers) and Quantum Mechanics and Applications (4 papers). Raoul Heese is often cited by papers focused on Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (7 papers) and Quantum Mechanics and Applications (4 papers). Raoul Heese collaborates with scholars based in Germany, United States and Finland. Raoul Heese's co-authors include Bogdan Georgiev, Christian Bauckhage, Julius Pfrommer, Rajkumar Ramamurthy, Michał Walczak, Katharina Beckh, Sebastian Mayer, Birgit Kirsch, Sven Giesselbach and Jannis Schuecker and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Raoul Heese

19 papers receiving 546 citations

Hit Papers

Informed Machine Learning... 2021 2026 2022 2024 2021 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Raoul Heese 234 92 62 56 49 20 573
Sebastian Mayer 186 0.8× 72 0.8× 87 1.4× 81 1.4× 47 1.0× 23 665
Rajkumar Ramamurthy 228 1.0× 67 0.7× 57 0.9× 49 0.9× 44 0.9× 13 526
Ying Li 185 0.8× 132 1.4× 47 0.8× 104 1.9× 43 0.9× 46 562
Lothar M. Schmitt 227 1.0× 63 0.7× 66 1.1× 40 0.7× 18 0.4× 25 676
Sven Giesselbach 198 0.8× 69 0.8× 57 0.9× 52 0.9× 46 0.9× 10 532
Jianxiang Feng 199 0.9× 76 0.8× 45 0.7× 30 0.5× 21 0.4× 27 604
Yuchen Wu 197 0.8× 45 0.5× 82 1.3× 84 1.5× 18 0.4× 12 643
Katya Rodríguez‐Vázquez 190 0.8× 159 1.7× 54 0.9× 36 0.6× 24 0.5× 47 532
Andreas Damianou 294 1.3× 120 1.3× 32 0.5× 46 0.8× 90 1.8× 18 639
Gherardo Varando 226 1.0× 38 0.4× 47 0.8× 33 0.6× 25 0.5× 25 637

Countries citing papers authored by Raoul Heese

Since Specialization
Citations

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

Fields of papers citing papers by Raoul Heese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raoul Heese

This figure shows the co-authorship network connecting the top 25 collaborators of Raoul Heese. A scholar is included among the top collaborators of Raoul Heese 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 Raoul Heese. Raoul Heese 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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