G. Werner-Allen

About

G. Werner-Allen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, G. Werner-Allen has authored 3 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in G. Werner-Allen’s work include Seismology and Earthquake Studies (2 papers), Public Relations and Crisis Communication (1 paper) and Context-Aware Activity Recognition Systems (1 paper). G. Werner-Allen is often cited by papers focused on Seismology and Earthquake Studies (2 papers), Public Relations and Crisis Communication (1 paper) and Context-Aware Activity Recognition Systems (1 paper). G. Werner-Allen collaborates with scholars based in United States. G. Werner-Allen's co-authors include Matt Welsh, Jonathan M. Lees, Mario Ruiz, Omar Marcillo, J. Johnson, Konrad Lorincz and Jeffrey G. Johnson and has published in prestigious journals such as IEEE Internet Computing and AGU Fall Meeting Abstracts.

In The Last Decade

Co-authorship network of co-authors of G. Werner-Allen i

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Fields of papers citing papers by G. Werner-Allen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Werner-Allen. 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 G. Werner-Allen. The network helps show where G. Werner-Allen may publish in the future.

Countries citing papers authored by G. Werner-Allen

Since Specialization

Citations

This map shows the geographic impact of G. Werner-Allen'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 G. Werner-Allen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Werner-Allen 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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