Benjamin Inden

685 citations
17 papers · 73 · h-index 6

Impact in

    • Reinforcement Learning in Robotics
    • Evolutionary Algorithms and Applications
    • Metaheuristic Optimization Algorithms Research
    • Speech and dialogue systems
    • Speech Recognition and Synthesis
    • Hand Gesture Recognition Systems

Papers in

Benjamin Inden

16 papers receiving 67 citations

Peers

Benjamin Inden
Comparison fields: 5 of 31
  • Artificial Intelligence 49
  • Human-Computer Interaction 7
  • Experimental and Cognitive Psychology 13
  • Linguistics and Language 4
  • Computer Vision and Pattern Recognition 10
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Yuanliang Meng United States
Ondřej Klejch United Kingdom
Parth Patwa United States
Ulf Krumnack Germany
Martin Loetzsch Japan
Philip John Gorinski Sweden
Guido Aversano France
Christophe Cerisara France
Vasil Khalidov Switzerland
Zhengxuan Wu United States
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Inden

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Inden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Benjamin Inden, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Inden Line = papers co-authored together Benjamin Inden links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201312
2 201812
3 20129
4 20128
5
Rapid entrainment to spontaneous speech: A comparison of oscillator models
20127
6 20085
7 20123
8 20103
9 20113
10 20222
11 20212
12 20222
13 20132
14
An oscillator based modeling of German spontaneous speech rhythm
20121
15 20191
16 20151
17 20190

About Benjamin Inden

Benjamin Inden is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Genetics, Sociology and Political Science and Cognitive Neuroscience, having authored 17 papers that have together received 73 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (8 papers), Reinforcement Learning in Robotics (7 papers), Metaheuristic Optimization Algorithms Research (3 papers), Evolution and Genetic Dynamics (3 papers), Speech Recognition and Synthesis (2 papers), Robotic Path Planning Algorithms (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Robotic Locomotion and Control (1 paper). The work is most often cited by research in Artificial Intelligence (49 citations), Human-Computer Interaction (7 citations), Experimental and Cognitive Psychology (13 citations), Linguistics and Language (4 citations) and Computer Vision and Pattern Recognition (10 citations). Benjamin Inden has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Robert Haschke, Zofia Malisz, Helge Ritter, Petra Wagner, Yaochu Jin, Ipke Wachsmuth, Bernhard Sendhoff, Jürgen Jost, Ahmad Lotfi and Jonathan Tepper. Their work appears in journals such as Neural Networks, Theory in Biosciences, Soft Computing, PeerJ Computer Science and SN Computer Science.

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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