Simon Stepputtis

438 total citations · 1 hit paper
20 papers, 213 citations indexed

About

Simon Stepputtis is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Simon Stepputtis has authored 20 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Control and Systems Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Simon Stepputtis's work include Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (4 papers) and Multimodal Machine Learning Applications (4 papers). Simon Stepputtis is often cited by papers focused on Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (4 papers) and Multimodal Machine Learning Applications (4 papers). Simon Stepputtis collaborates with scholars based in United States, Germany and China. Simon Stepputtis's co-authors include Heni Ben Amor, David Vogt, Bernhard Jung, Katia Sycara, Chitta Baral, Stefan Lee, Yaqi Xie, Joseph Campbell, Chong Yu and Charles Lewis and has published in prestigious journals such as Autonomous Robots, IEEE Robotics and Automation Letters and neural information processing systems.

In The Last Decade

Simon Stepputtis

17 papers receiving 202 citations

Hit Papers

Sigma: Siamese Mamba Network for Multi-Modal Semantic Seg... 2025 2026 2025 5 10 15 20
What are hit papers?

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.

  1. Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation
    2025 23 citations Pingping Zhang, Simon Stepputtis et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Stepputtis United States 8 112 78 60 30 28 20 213
Dorothea Koert Germany 9 141 1.3× 102 1.3× 87 1.4× 27 0.9× 24 0.9× 28 233
S. Reza Ahmadzadeh United States 10 159 1.4× 96 1.2× 68 1.1× 30 1.0× 26 0.9× 24 234
Ingo Kresse Germany 7 149 1.3× 93 1.2× 96 1.6× 41 1.4× 47 1.7× 7 245
Zhenjia Xu China 3 123 1.1× 64 0.8× 84 1.4× 32 1.1× 30 1.1× 13 254
Sanket Kamthe United Kingdom 3 122 1.1× 62 0.8× 41 0.7× 52 1.7× 19 0.7× 4 177
Ferenc Bálint-Benczédi Germany 10 103 0.9× 103 1.3× 118 2.0× 18 0.6× 19 0.7× 21 246
Florian Weißhardt Germany 8 79 0.7× 46 0.6× 89 1.5× 27 0.9× 45 1.6× 16 187
Hakan Karaoğuz Türkiye 6 100 0.9× 42 0.5× 78 1.3× 62 2.1× 34 1.2× 12 197
Toki Migimatsu United States 7 125 1.1× 115 1.5× 98 1.6× 17 0.6× 24 0.9× 12 253
Gerard Canal United Kingdom 8 71 0.6× 79 1.0× 58 1.0× 18 0.6× 11 0.4× 28 199

Countries citing papers authored by Simon Stepputtis

Since Specialization
Citations

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

Fields of papers citing papers by Simon Stepputtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Stepputtis

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Stepputtis. A scholar is included among the top collaborators of Simon Stepputtis 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 Simon Stepputtis. Simon Stepputtis 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.
Velasquez, Alvaro, Ufuk Topcu, Zhangyang Wang, et al.. (2025). Neurosymbolic AI as an antithesis to scaling laws. PNAS Nexus. 4(5). pgaf117–pgaf117. 1 indexed citations
2.
Zhang, Pingping, et al.. (2025). Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation. 1734–1744. 23 indexed citations breakdown →
3.
4.
Zhang, Ce, Simon Stepputtis, Katia Sycara, & Yaqi Xie. (2025). Enhancing Vision-Language Few-Shot Adaptation with Negative Learning. 5905–5915. 1 indexed citations
5.
6.
Zhang, Ce, Simon Stepputtis, Joseph Campbell, Katia Sycara, & Yaqi Xie. (2024). HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation. 28233–28243. 3 indexed citations
7.
Stepputtis, Simon, et al.. (2024). A Comparison of Imitation Learning Algorithms for Bimanual Manipulation. IEEE Robotics and Automation Letters. 9(10). 8579–8586. 4 indexed citations
8.
Campbell, Joseph, et al.. (2024). Let Me Help You! Neuro-Symbolic Short-Context Action Anticipation. IEEE Robotics and Automation Letters. 9(11). 9749–9756. 1 indexed citations
9.
Campbell, Joseph, et al.. (2024). ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition. 10527–10534. 3 indexed citations
10.
Stepputtis, Simon, Joseph Campbell, Yaqi Xie, et al.. (2023). Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Models. 11193–11208.
11.
Campbell, Joseph, Simon Stepputtis, Ruiyu Li, et al.. (2023). Explainable Action Advising for Multi-Agent Reinforcement Learning. 5515–5521. 3 indexed citations
12.
Zhou, Yifan, et al.. (2023). Learning modular language-conditioned robot policies through attention. Autonomous Robots. 47(8). 1013–1033. 2 indexed citations
13.
Yu, Chong, Simon Stepputtis, Joseph Campbell, et al.. (2023). Theory of Mind for Multi-Agent Collaboration via Large Language Models. 180–192. 27 indexed citations
14.
Stepputtis, Simon, et al.. (2022). A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 11810–11817. 10 indexed citations
15.
Stepputtis, Simon, et al.. (2020). Language-Conditioned Imitation Learning for Robot Manipulation Tasks. neural information processing systems. 33. 13139–13150. 38 indexed citations
16.
Stepputtis, Simon, et al.. (2019). Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks. 16 indexed citations
17.
Vogt, David, Simon Stepputtis, Bernhard Jung, & Heni Ben Amor. (2018). One-shot learning of human–robot handovers with triadic interaction meshes. Autonomous Robots. 42(5). 1053–1065. 19 indexed citations
18.
Stepputtis, Simon, Yezhou Yang, & Heni Ben Amor. (2018). Extrinsic Dexterity Through Active Slip Control Using Deep Predictive Models. 3180–3185. 8 indexed citations
19.
Vogt, David, et al.. (2017). A system for learning continuous human-robot interactions from human-human demonstrations. 2882–2889. 48 indexed citations
20.

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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