Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Quantum machine learning
20172.4k citationsJacob Biamonte, Péter Wittek et al.Natureprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Péter Wittek'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 Péter Wittek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Wittek more than expected).
This network shows the impact of papers produced by Péter Wittek. 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 Péter Wittek. The network helps show where Péter Wittek may publish in the future.
Co-authorship network of co-authors of Péter Wittek
This figure shows the co-authorship network connecting the top 25 collaborators of Péter Wittek.
A scholar is included among the top collaborators of Péter Wittek 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 Péter Wittek. Péter Wittek is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Wittek, Péter, et al.. (2020). Modular Length Control for Sentence Generation.. The European Symposium on Artificial Neural Networks. 607–612.
Huembeli, Patrick, Alexandre Dauphin, & Péter Wittek. (2017). Adversarial Domain Adaptation for Identifying Phase Transitions.. arXiv (Cornell University).1 indexed citations
4.
Liu, Ding, et al.. (2017). Machine Learning by Two-Dimensional Hierarchical Tensor Networks: A Quantum Information Theoretic Perspective on Deep Architectures. arXiv (Cornell University).7 indexed citations
5.
Biamonte, Jacob, Péter Wittek, Nicola Pancotti, et al.. (2017). Quantum machine learning. Nature. 549(7671). 195–202.2441 indexed citations breakdown →
Wittek, Péter, et al.. (2016). Controlling adaptive quantum-phase estimation with scalable reinforcement learning.. KTH Publication Database DiVA (KTH Royal Institute of Technology). 327–332.11 indexed citations
Meroño-Peñuela, Albert, et al.. (2016). Visualizing the Drift of Linked Open Data Using Self-Organizing Maps. KTH Publication Database DiVA (KTH Royal Institute of Technology). 42–49.1 indexed citations
Chatzilari, Elisavet, Efstratios Kontopoulos, Marina Riga, et al.. (2016). PERICLES Deliverable 4.3: Content Semantics and Use Context Analysis Techniques. Bristol Research (University of Bristol).1 indexed citations
16.
Wittek, Péter. (2013). Somoclu: An Efficient Distributed Library for Self-Organizing Maps. arXiv (Cornell University).3 indexed citations
17.
Wittek, Péter, et al.. (2012). A GPU-Accelerated Algorithm for Self-Organizing Maps in a Distributed Environment.. Borås Academic Digital Archive (University of Borås).9 indexed citations
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.