This map shows the geographic impact of David Klein'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 David Klein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Klein more than expected).
This network shows the impact of papers produced by David Klein. 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 David Klein. The network helps show where David Klein may publish in the future.
Co-authorship network of co-authors of David Klein
This figure shows the co-authorship network connecting the top 25 collaborators of David Klein.
A scholar is included among the top collaborators of David Klein 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 David Klein. David Klein is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Klein, David, et al.. (2020). Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning.. USENIX Security Symposium. 1363–1380.19 indexed citations
7.
Dietrich, Jan Philipp, Benjamin Leon Bodirsky, Florian Humpenöder, et al.. (2019). MAgPIE 3.0 Model Documentation. Zenodo (CERN European Organization for Nuclear Research).2 indexed citations
8.
Klein, David, et al.. (2016). Deploying Contextual Computing in a Campus Setting.. Scientific Publication Server (Frankfurt University of Applied Sciences). 135–140.4 indexed citations
Klein, David. (1985). An Expert Systems Approach to Realtime, Active Management of a Target Resource. ScholarlyCommons (University of Pennsylvania).1 indexed citations
19.
Griesmer, James H., et al.. (1984). Automation of MVS Operations, an Expert Systems Approach.. Int. CMG Conference. 134–139.2 indexed citations
20.
Hong, S. J., et al.. (1984). YES/MVS: a continuous real time expert system. National Conference on Artificial Intelligence. 130–136.31 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.