Robert F. Erbacher

About

Robert F. Erbacher is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Robert F. Erbacher has authored 33 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Computer Networks and Communications. Recurrent topics in Robert F. Erbacher’s work include Data Visualization and Analytics (11 papers), Network Security and Intrusion Detection (10 papers) and Advanced Malware Detection Techniques (6 papers). Robert F. Erbacher is often cited by papers focused on Data Visualization and Analytics (11 papers), Network Security and Intrusion Detection (10 papers) and Advanced Malware Detection Techniques (6 papers). Robert F. Erbacher collaborates with scholars based in United States. Robert F. Erbacher's co-authors include Deborah Frincke, Alec Yasinsac, Donald G. Marks, Mark Pollitt, Peter Sommer, Yarden Livnat, Stefano Foresti, James Agutter, Glenn Fink and Pak Chung Wong and has published in prestigious journals such as Communications of the ACM, IEEE Computer Graphics and Applications and IEEE Systems Journal.

In The Last Decade

Co-authorship network of co-authors of Robert F. Erbacher i

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Fields of papers citing papers by Robert F. Erbacher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert F. Erbacher. 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 Robert F. Erbacher. The network helps show where Robert F. Erbacher may publish in the future.

Countries citing papers authored by Robert F. Erbacher

Since Specialization

Citations

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

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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