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.
Multi-agent deep reinforcement learning: a survey
2021426 citationsSven Gronauer, Klaus Diepoldprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Klaus Diepold'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 Klaus Diepold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Diepold more than expected).
This network shows the impact of papers produced by Klaus Diepold. 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 Klaus Diepold. The network helps show where Klaus Diepold may publish in the future.
Co-authorship network of co-authors of Klaus Diepold
This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Diepold.
A scholar is included among the top collaborators of Klaus Diepold 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 Klaus Diepold. Klaus Diepold is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Diepold, Klaus, et al.. (2012). DELIMITING STRUCTURAL AND DYNAMICAL SYSTEM ANALYSIS IN ENGINEERING MANAGEMENT. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1649–1656.2 indexed citations
7.
Shen, Hao, et al.. (2012). L1 Regularized Gradient Temporal-Difference Learning. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).1 indexed citations
8.
Keimel, Christian, Julian Habigt, & Klaus Diepold. (2012). Hybrid no-reference video quality metric based on multiway PLSR. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1244–1248.8 indexed citations
9.
Keimel, Christian, et al.. (2011). Video is a Cube: Multidimensional Analysis and Video Quality Metrics. IEEE Signal Processing Magazine. 41–49.3 indexed citations
10.
Zwick, Michael E., et al.. (2010). Predicting Cache Contention with Setvectors. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).2 indexed citations
11.
Diepold, Klaus, et al.. (2010). Structural Complexity Management using domain-spanning structural criteria. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 827–834.2 indexed citations
12.
Diepold, Klaus, et al.. (2010). HRTF Measurements with Recorded Reference Signal. Journal of the Audio Engineering Society.1 indexed citations
13.
Diepold, Klaus, et al.. (2010). COMBINING STRUCTURAL COMPLEXITY MANAGEMENT AND HYBRID DYNAMICAL SYSTEM MODELLING. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1045–1054.6 indexed citations
14.
Shen, Hao, et al.. (2010). HRTF customization using multiway array analysis. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 229–233.9 indexed citations
15.
Hawe, Simon, et al.. (2009). MutanT: A modular and generic tool for multi-sensor data processing. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1304–1309.2 indexed citations
16.
Diepold, Klaus, et al.. (2009). A cognitive approach for a robotic welding system learning how to weld from acoustic data.
17.
Sarkis, Michel & Klaus Diepold. (2008). Towards Real-time Stereo using Non-uniform Image Sampling and Sparse Dynamic Programming. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).3 indexed citations
18.
Keyrouz, Fakheredine & Klaus Diepold. (2008). A New HRTF Interpolation Approach for Fast Synthesis of Dynamic Environmental Interaction. Journal of the Audio Engineering Society. 56. 28–35.14 indexed citations
19.
Oelbaum, Tobias & Klaus Diepold. (2008). Building a Reduced Reference Video Quality Metric with Very Low Overhead Using Multivariate Data Analysis. SHILAP Revista de lepidopterología.3 indexed citations
20.
Oelbaum, Tobias, et al.. (2007). A generic method to increase the prediction accuracy of visual quality metrics. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).14 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.