This map shows the geographic impact of Ellen Spertus'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 Ellen Spertus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Spertus more than expected).
This network shows the impact of papers produced by Ellen Spertus. 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 Ellen Spertus. The network helps show where Ellen Spertus may publish in the future.
Co-authorship network of co-authors of Ellen Spertus
This figure shows the co-authorship network connecting the top 25 collaborators of Ellen Spertus.
A scholar is included among the top collaborators of Ellen Spertus 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 Ellen Spertus. Ellen Spertus is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Spertus, Ellen. (1997). Smokey: automatic recognition of hostile messages. National Conference on Artificial Intelligence. 1058–1065.111 indexed citations
Spertus, Ellen & William J. Dally. (1991). Experiences Implementing Dataflow on a General-Purpose Parallel Computer.. Proceedings of the International Conference on Parallel Processing. 231–235.1 indexed citations
20.
Spertus, Ellen. (1991). Why are there so few female computer scientists. DSpace@MIT (Massachusetts Institute of Technology).100 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.