Benjamin Paaßen

848 total citations · 1 hit paper
34 papers, 433 citations indexed

About

Benjamin Paaßen is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Benjamin Paaßen has authored 34 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 7 papers in Computer Science Applications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Benjamin Paaßen's work include Intelligent Tutoring Systems and Adaptive Learning (6 papers), Online Learning and Analytics (5 papers) and Machine Learning and Algorithms (5 papers). Benjamin Paaßen is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (6 papers), Online Learning and Analytics (5 papers) and Machine Learning and Algorithms (5 papers). Benjamin Paaßen collaborates with scholars based in Germany, United Kingdom and Australia. Benjamin Paaßen's co-authors include Thekla Morgenroth, Michelle Stratemeyer, Barbara Hammer, Bassam Mokbel, Sebastian Groß, Niels Pinkwart, Frank-Michael Schleif, Alexander Schulz, Thomas Price and Tiffany Barnes and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Benjamin Paaßen

31 papers receiving 408 citations

Hit Papers

align trajectories

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.

What is a True Gamer? The Male Gamer Stereotype and the Marginalization of Women in Video Game Culture

2016 212 citations Benjamin Paaßen, Thekla Morgenroth et al. profile →

Peers

Countries citing papers authored by Benjamin Paaßen

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Paaßen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Paaßen

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Linear Domain Adaptation for Robustness to Electrode Shifts 2025 ·(unknown), Benjamin Paaßen	1
2	Leveraging local data sampling strategies to improve federated learning 2024 ·International Journal of Data Science and Analytics ·(unknown), Philipp Cimiano, Benjamin Paaßen	2
3	Few-shot similarity learning for motion classification via electromyography 2024 ·(unknown), Benjamin Paaßen	0
4	Leveraging Local Data Sampling Strategies to Improve Federated Learning (Extended Abstract) 2024 ·(unknown), Philipp Cimiano, Benjamin Paaßen	1
5	Extracting spatial knowledge from track and field broadcasts for monocular 3D human pose estimation 2023 ·Scientific Reports ·(unknown), Benjamin Paaßen, Stefanie Klatt	6
6	Reservoir Memory Machines as Neural Computers 2021 ·IEEE Transactions on Neural Networks and Learning Systems ·Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer	5
7	Progress Networks as a Tool for Analysing Student Programming Difficulties 2021 ·(unknown), Benjamin Paaßen, (unknown), Irena Koprinska, Kalina Yacef	5
8	The Gendered Nature and Malleability of Gamer Stereotypes 2020 ·Cyberpsychology Behavior and Social Networking ·Thekla Morgenroth, Michelle Stratemeyer, Benjamin Paaßen	5
9	A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms 2019 ·International Journal of Artificial Intelligence in Education ·Thomas Price, Yihuan Dong, Rui Zhi, Benjamin Paaßen, Nicholas Lytle, Veronica Cateté, Tiffany Barnes	29
10	Linear Supervised Transfer Learning Toolbox 2017 ·PUB – Publications at Bielefeld University (Bielefeld University) ·Benjamin Paaßen, Alexander Schulz	1
11	An EM transfer learning algorithm with applications in bionic hand prostheses. 2017 ·PUB – Publications at Bielefeld University (Bielefeld University) ·Benjamin Paaßen, Alexander Schulz, Janne M. Hahne, Barbara Hammer	1
12	Gaussian process prediction for time series of structured data 2016 ·Publikationen an der Universität Bielefeld (Universität Bielefeld) ·Benjamin Paaßen, (unknown), Barbara Hammer	0
13	Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming 2016 ·PUB – Publications at Bielefeld University (Bielefeld University) ·Benjamin Paaßen, (unknown), Barbara Hammer	6
14	Adaptive structure metrics for automated feedback provision in intelligent tutoring systems 2016 ·Neurocomputing ·Benjamin Paaßen, Bassam Mokbel, Barbara Hammer	11
15	Adaptive structure metrics for automated feedback provision in Java programming 2015 ·PUB – Publications at Bielefeld University (Bielefeld University) ·Benjamin Paaßen, Bassam Mokbel, Barbara Hammer	6
16	A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems 2015 ·PUB – Publications at Bielefeld University (Bielefeld University) ·Benjamin Paaßen, Bassam Mokbel, Barbara Hammer	4
17	Adaptive Affine Sequence Alignment Using Algebraic Dynamic Programming 2015 ·PUB – Publications at Bielefeld University (Bielefeld University) ·Benjamin Paaßen	1
18	Adaptive distance measures for sequential data 2014 ·The European Symposium on Artificial Neural Networks ·Bassam Mokbel, Benjamin Paaßen, Barbara Hammer	3
19	Example-based feedback provision using structured solution spaces 2014 ·International Journal of Learning Technology ·Sebastian Groß, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer, Niels Pinkwart	22
20	Domain-Independent Proximity Measures in Intelligent Tutoring Systems 2013 ·PUB – Publications at Bielefeld University (Bielefeld University) ·Bassam Mokbel, Sebastian Groß, Benjamin Paaßen, Niels Pinkwart, Barbara Hammer	14

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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