Nico Piatkowski

983 total citations
48 papers, 486 citations indexed

About

Nico Piatkowski is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Nico Piatkowski has authored 48 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in Nico Piatkowski's work include Quantum Computing Algorithms and Architecture (12 papers), Neural Networks and Applications (7 papers) and Data Management and Algorithms (6 papers). Nico Piatkowski is often cited by papers focused on Quantum Computing Algorithms and Architecture (12 papers), Neural Networks and Applications (7 papers) and Data Management and Algorithms (6 papers). Nico Piatkowski collaborates with scholars based in Germany, Australia and United Kingdom. Nico Piatkowski's co-authors include Katharina Morik, Thomas Liebig, Christian Bockermann, Sangkyun Lee, Raoul Heese, Marco Stolpe, Mike Preuß, Kuan-Hsun Chen, Nicola Beume and Jian-Jia Chen and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Neurocomputing.

In The Last Decade

Nico Piatkowski

43 papers receiving 471 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nico Piatkowski Germany 12 185 125 111 104 80 48 486
Daniele Frigioni Italy 14 132 0.7× 58 0.5× 253 2.3× 31 0.3× 140 1.8× 57 581
G. Carpaneto Italy 11 108 0.6× 65 0.5× 131 1.2× 58 0.6× 37 0.5× 11 586
Yilun Jin China 12 512 2.8× 55 0.4× 59 0.5× 90 0.9× 34 0.4× 28 701
Weiqin Tong China 13 124 0.7× 36 0.3× 317 2.9× 40 0.4× 29 0.4× 94 608
Karsten Weihe Germany 10 58 0.3× 61 0.5× 108 1.0× 27 0.3× 100 1.3× 53 381
Gianlorenzo D’Angelo Italy 14 80 0.4× 52 0.4× 326 2.9× 24 0.2× 61 0.8× 64 694
Kai Zhao China 13 380 2.1× 26 0.2× 315 2.8× 21 0.2× 86 1.1× 51 787
Tian Xia United States 11 132 0.7× 106 0.8× 158 1.4× 68 0.7× 344 4.3× 35 656

Countries citing papers authored by Nico Piatkowski

Since Specialization
Citations

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

Fields of papers citing papers by Nico Piatkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nico Piatkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Nico Piatkowski. A scholar is included among the top collaborators of Nico Piatkowski 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 Nico Piatkowski. Nico Piatkowski 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.
Piatkowski, Nico, et al.. (2025). Dynamic Range Reduction via Branch-and-Bound. 119–129.
2.
Piatkowski, Nico, et al.. (2024). Optimum-preserving QUBO parameter compression. Quantum Machine Intelligence. 7(1). 5 indexed citations
3.
Heese, Raoul, et al.. (2024). On the effects of biased quantum random numbers on the initialization of artificial neural networks. Machine Learning. 113(3). 1189–1217. 3 indexed citations
4.
Piatkowski, Nico, et al.. (2024). Quantum Optimization for FPGA-Placement. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 637–647.
5.
Heese, Raoul, et al.. (2023). Feature selection on quantum computers. Quantum Machine Intelligence. 5(1). 28 indexed citations
6.
Webb, Geoffrey I., et al.. (2023). Computing Marginal and Conditional Divergences between Decomposable Models with Applications. Fraunhofer-Publica (Fraunhofer-Gesellschaft).
7.
Piatkowski, Nico, et al.. (2022). Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–8. 5 indexed citations
8.
Morik, Katharina, et al.. (2022). Yes we care!-Certification for machine learning methods through the care label framework. Frontiers in Artificial Intelligence. 5. 975029–975029. 6 indexed citations
9.
Piatkowski, Nico, et al.. (2022). Quantum- Inspired Structure- Preserving Probabilistic Inference. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–9. 1 indexed citations
10.
Georgiev, Bogdan, et al.. (2022). Quantum Circuit Evolution on NISQ Devices. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–8. 8 indexed citations
11.
Rueden, Laura von, et al.. (2021). Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 6 indexed citations
12.
Piatkowski, Nico, et al.. (2019). Learning Bit by Bit: Extracting the Essence of Machine Learning.. 144–155. 1 indexed citations
13.
Bauckhage, Christian, Nico Piatkowski, Rafet Sifa, Dirk Hecker, & Stefan Wrobel. (2019). A QUBO Formulation of the k-Medoids Problem.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 54–63. 9 indexed citations
14.
Brüggen, Georg von der, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, & Katharina Morik. (2018). Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 15 indexed citations
15.
Piatkowski, Nico & Katharina Morik. (2018). Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation. Uncertainty in Artificial Intelligence. 715–724. 3 indexed citations
16.
Piatkowski, Nico & Katharina Morik. (2016). Stochastic discrete clenshaw-curtis quadrature. International Conference on Machine Learning. 3000–3009. 3 indexed citations
17.
Hess, Sibylle, Nico Piatkowski, & Katharina Morik. (2014). SHrimp: Descriptive Patterns in a Tree. TU/e Research Portal (Eindhoven University of Technology). 181–192. 3 indexed citations
18.
Liebig, Thomas, Nico Piatkowski, Christian Bockermann, & Katharina Morik. (2014). Predictive Trip Planning - Smart Routing in Smart Cities. EDBT/ICDT Workshops. 331–338. 37 indexed citations
19.
Piatkowski, Nico. (2012). Parallel Algorithms for GPU accelerated Probabilistic Inference. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 2 indexed citations
20.
Piatkowski, Nico, et al.. (2012). Predicting next network cell IDs for moving users with Discriminative and Generative Models. 14 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.

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