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.
This map shows the geographic impact of Gerhard Paaß'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 Gerhard Paaß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Paaß more than expected).
This network shows the impact of papers produced by Gerhard Paaß. 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 Gerhard Paaß. The network helps show where Gerhard Paaß may publish in the future.
Co-authorship network of co-authors of Gerhard Paaß
This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Paaß.
A scholar is included among the top collaborators of Gerhard Paaß 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 Gerhard Paaß. Gerhard Paaß is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Paaß, Gerhard, et al.. (2009). Named Entity Resolution Using Automatically Extracted Semantic Information.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).6 indexed citations
Chen, Hsinchun, Marc Daciér, Marie‐Francine Moens, Gerhard Paaß, & Christopher C. Yang. (2009). Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics.1 indexed citations
8.
Bergholz, André, et al.. (2008). Detecting Known and New Salting Tricks in Unwanted Emails.. Lirias (KU Leuven).6 indexed citations
9.
Bergholz, André, et al.. (2008). Improved Phishing Detection using Model-Based Features..93 indexed citations
Möller, Knut & Gerhard Paaß. (1994). Künstliche Neuronale Netze: eine Bestandsaufnahme.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 8. 37–61.1 indexed citations
14.
Paaß, Gerhard & Jörg Kindermann. (1994). Bayesian Query Construction for Neural Network Models. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 7. 443–450.14 indexed citations
15.
Heinsohn, Jochen & Gerhard Paaß. (1992). European Conference on Symbolic and Quantitative Approaches for Uncertainty.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 6. 42.13 indexed citations
16.
Paaß, Gerhard. (1992). Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 5. 196–203.19 indexed citations
17.
Paaß, Gerhard. (1990). Second order probabilities for uncertain and conflicting evidence. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 447–456.8 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.