Nico Hochgeschwender

901 total citations
46 papers, 425 citations indexed

About

Nico Hochgeschwender is a scholar working on Artificial Intelligence, Software and Control and Systems Engineering. According to data from OpenAlex, Nico Hochgeschwender has authored 46 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 20 papers in Software and 10 papers in Control and Systems Engineering. Recurrent topics in Nico Hochgeschwender's work include Advanced Software Engineering Methodologies (19 papers), Model-Driven Software Engineering Techniques (14 papers) and Modular Robots and Swarm Intelligence (8 papers). Nico Hochgeschwender is often cited by papers focused on Advanced Software Engineering Methodologies (19 papers), Model-Driven Software Engineering Techniques (14 papers) and Modular Robots and Swarm Intelligence (8 papers). Nico Hochgeschwender collaborates with scholars based in Germany, Luxembourg and Italy. Nico Hochgeschwender's co-authors include Gerhard K. Kraetzschmar, Davide Brugali, Herman Bruyninckx, Arne Nordmann, Sebastian Wrede, Holger Voos, Sven Schneider, Andreas Schreiber, Paul G. Plöger and Thomas Breuer and has published in prestigious journals such as IEEE Robotics & Automation Magazine, Journal of Intelligent & Robotic Systems and IFAC-PapersOnLine.

In The Last Decade

Nico Hochgeschwender

42 papers receiving 411 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 Hochgeschwender Germany 9 222 125 87 85 83 46 425
David J. Musliner United States 10 433 2.0× 98 0.8× 71 0.8× 119 1.4× 45 0.5× 61 673
Kerstin Eder United Kingdom 12 123 0.6× 59 0.5× 73 0.8× 48 0.6× 50 0.6× 64 469
Afsoon Afzal United States 8 69 0.3× 145 1.2× 63 0.7× 34 0.4× 69 0.8× 12 276
Geoffrey Biggs Japan 7 74 0.3× 69 0.6× 138 1.6× 52 0.6× 30 0.4× 29 282
Theodore W. Manikas United States 10 108 0.5× 34 0.3× 114 1.3× 221 2.6× 27 0.3× 41 427
Kenji Tei Japan 13 191 0.9× 39 0.3× 52 0.6× 50 0.6× 89 1.1× 84 465
Michele Colledanchise Sweden 11 465 2.1× 53 0.4× 190 2.2× 221 2.6× 27 0.3× 24 784
Jonas Kvarnström Sweden 16 514 2.3× 50 0.4× 57 0.7× 159 1.9× 42 0.5× 43 793
Gerardo Pardo-Castellote United States 9 93 0.4× 21 0.2× 130 1.5× 86 1.0× 85 1.0× 17 490
Chih‐Hong Cheng Germany 11 124 0.6× 59 0.5× 41 0.5× 47 0.6× 36 0.4× 31 311

Countries citing papers authored by Nico Hochgeschwender

Since Specialization
Citations

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

Fields of papers citing papers by Nico Hochgeschwender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nico Hochgeschwender

This figure shows the co-authorship network connecting the top 25 collaborators of Nico Hochgeschwender. A scholar is included among the top collaborators of Nico Hochgeschwender 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 Hochgeschwender. Nico Hochgeschwender 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.
Hochgeschwender, Nico, et al.. (2025). Semantic composition of robotic solver algorithms on graph structures. Frontiers in Robotics and AI. 11. 1363150–1363150.
2.
Hochgeschwender, Nico, et al.. (2024). A Multimodal Handover Failure Detection Dataset and Baselines. 17013–17019. 1 indexed citations
3.
Hochgeschwender, Nico, et al.. (2024). Composable and executable scenarios for simulation-based testing of mobile robots. Frontiers in Robotics and AI. 11. 1363281–1363281. 1 indexed citations
4.
Hochgeschwender, Nico, et al.. (2023). Automated Testing of Standard Conformance for Robots. 1–8.
5.
Hochgeschwender, Nico, et al.. (2022). From zero to hero. elib (German Aerospace Center). 17–20. 1 indexed citations
6.
Schneider, Sven, et al.. (2021). Specifying QoS Requirements and Capabilities for Component-Based Robot Software. 29–36. 8 indexed citations
7.
Hochgeschwender, Nico, et al.. (2021). A qualitative study of Machine Learning practices and engineering challenges in Earth Observation. it - Information Technology. 63(4). 235–247. 3 indexed citations
8.
Hochgeschwender, Nico, et al.. (2019). Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models. elib (German Aerospace Center). 37–40. 6 indexed citations
9.
Hochgeschwender, Nico, et al.. (2019). Arguing Security of Autonomous Robots. 7791–7797. 7 indexed citations
10.
Hochgeschwender, Nico, et al.. (2019). Using Visualization of Convolutional Neural Networks in Virtual Reality for Machine Learning Newcomers. elib (German Aerospace Center). 152–1526. 16 indexed citations
11.
Hochgeschwender, Nico, et al.. (2019). Speak to your Software Visualization—Exploring Component-Based Software Architectures in Augmented Reality with a Conversational Interface. elib (German Aerospace Center). 78–82. 9 indexed citations
12.
Brugali, Davide & Nico Hochgeschwender. (2018). Software Product Line Engineering for Robotic Perception Systems. International Journal of Semantic Computing. 12(1). 89–107. 12 indexed citations
13.
Hochgeschwender, Nico, Geoffrey Biggs, & Holger Voos. (2018). A Reference Architecture for Deploying Component-Based Robot Software and Comparison with Existing Tools. Open Repository and Bibliography (University of Luxembourg). 121–128. 6 indexed citations
14.
Schneider, Sven, et al.. (2016). Context-Based Adaptation of In-Hand Slip Detection for Service Robots. IFAC-PapersOnLine. 49(15). 266–271. 4 indexed citations
15.
Schneider, Sven, et al.. (2015). Design and development of a benchmarking testbed for the Factory of the Future. 1–7. 4 indexed citations
16.
Hochgeschwender, Nico, et al.. (2015). Poster: Model-based Run-time Variability Resolution for Robotic Applications. International Conference on Software Engineering. 2. 829–830. 3 indexed citations
17.
Hochgeschwender, Nico, Miguel Olivares-Mendez, Holger Voos, & Gerhard K. Kraetzschmar. (2015). Context-based selection and execution of robot perception graphs. 8810. 1–4. 5 indexed citations
18.
Hochgeschwender, Nico, et al.. (2015). Poster: Model-based Run-time Variability Resolution for Robotic Applications. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 829–830. 4 indexed citations
19.
Hochgeschwender, Nico, et al.. (2015). RRA: Models and tools for robotics run-time adaptation. 1777–1784. 7 indexed citations
20.
Ertel, Wolfgang, et al.. (2005). A UNIVERSAL MODULAR AUTONOMOUS ROBOT ARCHITECTURE. 391–394. 1 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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