Benjamin Paaßen

103 total papers · 830 total citations
33 papers, 425 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 33 papers receiving a total of 425 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), Machine Learning and Algorithms (5 papers) and Neural Networks and Applications (5 papers). Benjamin Paaßen is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (6 papers), Machine Learning and Algorithms (5 papers) and Neural Networks and Applications (5 papers). Benjamin Paaßen collaborates with scholars based in Germany, United Kingdom and Australia. Benjamin Paaßen's co-authors include Michelle Stratemeyer, Thekla Morgenroth, 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, Neurocomputing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Benjamin Paaßen

29 papers receiving 399 citations

Hit Papers

What is a True Gamer? The... 2016 2026 2019 2022 2016 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Benjamin Paaßen 188 120 92 86 65 33 425
D. Fox Harrell 205 1.1× 135 1.1× 21 0.2× 40 0.5× 144 2.2× 60 479
Mary Jean Amon 83 0.4× 83 0.7× 34 0.4× 52 0.6× 94 1.4× 43 392
Patricia Paderewski 116 0.6× 84 0.7× 10 0.1× 74 0.9× 162 2.5× 72 388
Michail Tsikerdekis 130 0.7× 131 1.1× 11 0.1× 74 0.9× 31 0.5× 29 463
Sean Kross 226 1.2× 91 0.8× 11 0.1× 74 0.9× 15 0.2× 19 458
Aki Järvinen 268 1.4× 103 0.9× 10 0.1× 31 0.4× 200 3.1× 16 469
Chuck Huff 128 0.7× 45 0.4× 36 0.4× 105 1.2× 24 0.4× 26 482
Nilüfer Atman Uslu 72 0.4× 38 0.3× 46 0.5× 129 1.5× 104 1.6× 42 451
Heike Schaumburg 184 1.0× 48 0.4× 28 0.3× 42 0.5× 39 0.6× 30 424
Carmen Mangirón 219 1.2× 72 0.6× 35 0.4× 18 0.2× 28 0.4× 32 427

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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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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