Oliver Niggemann

2.1k total citations
162 papers, 1.1k citations indexed

About

Oliver Niggemann is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Oliver Niggemann has authored 162 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Control and Systems Engineering, 63 papers in Industrial and Manufacturing Engineering and 59 papers in Artificial Intelligence. Recurrent topics in Oliver Niggemann's work include Flexible and Reconfigurable Manufacturing Systems (54 papers), Fault Detection and Control Systems (52 papers) and Anomaly Detection Techniques and Applications (22 papers). Oliver Niggemann is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (54 papers), Fault Detection and Control Systems (52 papers) and Anomaly Detection Techniques and Applications (22 papers). Oliver Niggemann collaborates with scholars based in Germany, United States and United Kingdom. Oliver Niggemann's co-authors include Alexander Maier, Jens Otto, Asmir Vodenčarević, Peng Li, Birgit Vogel‐Heuser, Florian Pethig, Hans Kleine Büning, Sebastian Schriegel, Jürgen Beyerer and Jürgen Jasperneite and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Oliver Niggemann

150 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oliver Niggemann Germany 16 553 387 299 138 84 162 1.1k
Christian Diedrich Germany 21 998 1.8× 283 0.7× 324 1.1× 375 2.7× 165 2.0× 154 1.6k
Arquimedes Canedo United States 14 292 0.5× 157 0.4× 354 1.2× 175 1.3× 34 0.4× 52 1.0k
Klaus Kabitzsch Germany 19 301 0.5× 360 0.9× 251 0.8× 433 3.1× 136 1.6× 134 1.3k
Hehua Yan China 12 322 0.6× 331 0.9× 133 0.4× 361 2.6× 33 0.4× 17 985
Valeriy Vyatkin Sweden 15 664 1.2× 158 0.4× 107 0.4× 136 1.0× 221 2.6× 47 1.0k
Nikolaos Papakonstantinou Finland 14 316 0.6× 159 0.4× 114 0.4× 62 0.4× 32 0.4× 66 691
Claude Le Pape France 17 951 1.7× 171 0.4× 251 0.8× 659 4.8× 132 1.6× 36 1.5k
Patricia Derler United States 12 142 0.3× 312 0.8× 188 0.6× 260 1.9× 161 1.9× 28 895
Cláudio Gomes Denmark 14 272 0.5× 230 0.6× 75 0.3× 69 0.5× 126 1.5× 64 868
Jakob Axelsson Sweden 17 115 0.2× 379 1.0× 243 0.8× 143 1.0× 45 0.5× 114 1.0k

Countries citing papers authored by Oliver Niggemann

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Niggemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Niggemann

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Niggemann. A scholar is included among the top collaborators of Oliver Niggemann 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 Oliver Niggemann. Oliver Niggemann 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.
Niggemann, Oliver, et al.. (2024). Discret2Di - Deep Learning based Discretization for Model-based Diagnosis. IFAC-PapersOnLine. 58(4). 640–645. 1 indexed citations
2.
Niggemann, Oliver, et al.. (2024). Self-Supervised Graph Structure Learning for Cyber-Physical Systems. IFAC-PapersOnLine. 58(4). 204–209. 1 indexed citations
3.
Kramer, Denis, et al.. (2024). High accuracy uncertainty-aware interatomic force modeling with equivariant Bayesian neural networks. Digital Discovery. 3(11). 2356–2366. 3 indexed citations
5.
Niggemann, Oliver, et al.. (2023). Game Design Tools for ML Data Generation in CPS. 362–367. 1 indexed citations
6.
Niggemann, Oliver, et al.. (2023). AI-assisted study of auxetic structures. SHILAP Revista de lepidopterología. 42. 32–36. 1 indexed citations
7.
Meyer, Frédéric, et al.. (2023). How to Generate Assembly Instructions with Robotic Process Automation. AHFE international. 1 indexed citations
9.
Niggemann, Oliver, et al.. (2022). FliPSi: Generating Data for the Training of Machine Learning Algorithms for CPPS. Annual Conference of the PHM Society. 14(1). 3 indexed citations
10.
Niggemann, Oliver, et al.. (2020). Automated Reconfiguration of Cyber-Physical Production Systems using Satisfiability Modulo Theories. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 461–468. 11 indexed citations
11.
Friebe, Jens, et al.. (2020). Machine Learning for Grey Box Modelling of Electrical Components for Circuit- and EMC-Simulation. 1–9. 1 indexed citations
12.
Niggemann, Oliver, et al.. (2020). A Concept for the Automated Reconfiguration of Quadcopters.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 180–191. 1 indexed citations
13.
Niggemann, Oliver, et al.. (2016). Machine Learning for Cyber Physical Systems. CERN Document Server (European Organization for Nuclear Research). 9 indexed citations
14.
Otto, Jens, Björn Böttcher, & Oliver Niggemann. (2013). Plug-and-Produce: Semantic Module Profile.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 90–99. 4 indexed citations
15.
Niggemann, Oliver, et al.. (2011). Fighting the Modeling Bottleneck - Learning Models for Production Plants.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 157–166. 6 indexed citations
16.
Niggemann, Oliver, Alexander G. Maier, & Jürgen Jasperneite. (2010). Model-based Development of Automation Systems.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 22(7). 45–54. 3 indexed citations
17.
Niggemann, Oliver, et al.. (2009). Using Models for Dynamic System Diagnosis: A Case Study in Automotive Engineering.. 46–56. 3 indexed citations
18.
Niggemann, Oliver, et al.. (2008). Durchgehende Systemverifikation im Automotiven Entwicklungsprozess.. 20–27. 1 indexed citations
19.
Gehrke, Matthias, et al.. (2006). Scenario-Based Verification of Automotive Software Systems.. 35–42. 2 indexed citations
20.
Stein, Benno, et al.. (2006). Speeding up model-based diagnosis by a heuristic approach to solving SAT. 273–278. 2 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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