Benjamin Inden

685 total citations
17 papers, 73 citations indexed

About

Benjamin Inden is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Genetics. According to data from OpenAlex, Benjamin Inden has authored 17 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Genetics. Recurrent topics in Benjamin Inden's work include Evolutionary Algorithms and Applications (8 papers), Reinforcement Learning in Robotics (7 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Benjamin Inden is often cited by papers focused on Evolutionary Algorithms and Applications (8 papers), Reinforcement Learning in Robotics (7 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Benjamin Inden collaborates with scholars based in Germany, United Kingdom and United States. Benjamin Inden's co-authors include Ipke Wachsmuth, Zofia Malisz, Helge Ritter, Robert Haschke, Petra Wagner, Yaochu Jin, Jürgen Jost, Ahmad Lotfi, Bernhard Sendhoff and Jonathan Tepper and has published in prestigious journals such as Neural Networks, Soft Computing and PeerJ Computer Science.

In The Last Decade

Benjamin Inden

16 papers receiving 67 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Inden Germany 6 49 13 10 7 7 17 73
Ulf Krumnack Germany 8 105 2.1× 36 2.8× 14 1.4× 6 0.9× 2 0.3× 23 155
Martin Loetzsch Japan 6 62 1.3× 22 1.7× 26 2.6× 2 0.3× 9 1.3× 12 119
Yuanliang Meng United States 5 76 1.6× 13 1.0× 13 1.3× 8 1.1× 4 0.6× 10 111
Christophe Cerisara France 8 154 3.1× 7 0.5× 20 2.0× 2 0.3× 4 0.6× 46 192
Teun Koetsier Netherlands 6 10 0.2× 12 0.9× 12 1.2× 4 0.6× 12 1.7× 23 99
Grégoire Lefebvre France 6 24 0.5× 13 1.0× 38 3.8× 4 0.6× 9 1.3× 13 87
Parth Patwa India 5 116 2.4× 5 0.4× 5 0.5× 6 0.9× 22 3.1× 12 150
Rolandos Alexandros Potamias United Kingdom 5 140 2.9× 12 0.9× 22 2.2× 11 1.6× 2 0.3× 11 193
Vikas Yadav United States 7 77 1.6× 21 1.6× 16 1.6× 3 0.4× 3 0.4× 17 116
David Gaddy United States 4 118 2.4× 10 0.8× 15 1.5× 6 0.9× 8 1.1× 4 136

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-authorship network of co-authors of Benjamin Inden

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Inden. A scholar is included among the top collaborators of Benjamin Inden 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 Benjamin Inden. Benjamin Inden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Lotfi, Ahmad, et al.. (2022). A Strategy-Based Algorithm for Moving Targets in an Environment with Multiple Agents. SN Computer Science. 3(6). 2 indexed citations
2.
Tepper, Jonathan, et al.. (2022). mRNA Biomarkers for Invasive Breast Cancer based on a Deep Feature Selection Approach. Journal of Biomedical Research & Environmental Sciences. 3(10). 1163–1176. 2 indexed citations
3.
Lotfi, Ahmad, et al.. (2021). Multiple Pursuers TrailMax Algorithm for Dynamic Environments. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 437–443. 2 indexed citations
4.
Inden, Benjamin & Jürgen Jost. (2019). Evolving neural networks to follow trajectories of arbitrary complexity. Neural Networks. 116. 224–236.
5.
Inden, Benjamin, et al.. (2019). Machine learning of symbolic compositional rules with genetic programming: dissonance treatment in Palestrina. PeerJ Computer Science. 5. e244–e244. 1 indexed citations
6.
Inden, Benjamin, et al.. (2018). An Approach to Sign Language Translation using the Intel RealSense Camera. 219–224. 12 indexed citations
7.
Inden, Benjamin & Jürgen Jost. (2015). Effects of Several Bioinspired Methods on the Stability of Coevolutionary Complexification. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1094–1101. 1 indexed citations
8.
Inden, Benjamin, Zofia Malisz, Petra Wagner, & Ipke Wachsmuth. (2013). Timing and entrainment of multimodal backchanneling behavior for an embodied conversational agent. 181–188. 12 indexed citations
9.
Inden, Benjamin & Jürgen Jost. (2013). Neural agents can evolve to reproduce sequences of arbitrary length. 184–191. 2 indexed citations
10.
Inden, Benjamin, Zofia Malisz, Petra Wagner, & Ipke Wachsmuth. (2012). Rapid entrainment to spontaneous speech: A comparison of oscillator models. eScholarship (California Digital Library). 34(34). 1721–1726. 7 indexed citations
11.
Malisz, Zofia, Benjamin Inden, Ipke Wachsmuth, & Petra Wagner. (2012). An oscillator based modeling of German spontaneous speech rhythm. PUB – Publications at Bielefeld University (Bielefeld University). 1 indexed citations
12.
Inden, Benjamin, Yaochu Jin, Robert Haschke, & Helge Ritter. (2012). Evolving neural fields for problems with large input and output spaces. Neural Networks. 28. 24–39. 8 indexed citations
13.
Inden, Benjamin, Yaochu Jin, Robert Haschke, Helge Ritter, & Bernhard Sendhoff. (2012). An examination of different fitness and novelty based selection methods for the evolution of neural networks. Soft Computing. 17(5). 753–767. 9 indexed citations
15.
Inden, Benjamin, Yaochu Jin, Robert Haschke, & Helge Ritter. (2011). Exploiting inherent regularity in control of multilegged robot locomotion by evolving neural fields. View. 3. 401–408. 3 indexed citations
16.
Inden, Benjamin, Yaochu Jin, Robert Haschke, & Helge Ritter. (2010). NEATfields. View. 645–646. 3 indexed citations
17.
Inden, Benjamin. (2008). Neuroevolution and complexifying genetic architectures for memory and control tasks. Theory in Biosciences. 127(2). 187–194. 5 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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