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.
Countries citing papers authored by Lynn Andrea Stein
Since
Specialization
Citations
This map shows the geographic impact of Lynn Andrea Stein'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 Lynn Andrea Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn Andrea Stein more than expected).
Fields of papers citing papers by Lynn Andrea Stein
This network shows the impact of papers produced by Lynn Andrea Stein. 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 Lynn Andrea Stein. The network helps show where Lynn Andrea Stein may publish in the future.
Co-authorship network of co-authors of Lynn Andrea Stein
This figure shows the co-authorship network connecting the top 25 collaborators of Lynn Andrea Stein.
A scholar is included among the top collaborators of Lynn Andrea Stein 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 Lynn Andrea Stein. Lynn Andrea Stein is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Stein, Lynn Andrea. (2006). A small footprint curriculum for computing: (and why on earth anyone would want such a thing). Journal of computing sciences in colleges. 21(6). 3–3.5 indexed citations
McGuinness, Deborah L., Richard Fikes, James Hendler, & Lynn Andrea Stein. (2002). IEEE Intelligent Systems: DAML+OIL: An Ontology Language for the Semantic Web.. IEEE Distributed Systems Online. 3.2 indexed citations
7.
Bryson, Joanna J. & Lynn Andrea Stein. (2001). Modularity and design in reactive intelligence. International Joint Conference on Artificial Intelligence. 1115–1120.36 indexed citations
8.
Bryson, Joanna J., Will Lowe, Lynn Andrea Stein, A. Meystel, & Elena R. Messina. (2001). Hypothesis Testing for Complex Agents.6 indexed citations
9.
Spertus, Ellen & Lynn Andrea Stein. (1998). A Hyperlink-Based Recommender System Written in Sqeal.. 1–4.5 indexed citations
Stein, Lynn Andrea. (1991). A unified methodology for object-oriented programming. 211–222.2 indexed citations
17.
Stein, Lynn Andrea. (1989). Skeptical inheritance: computing the intersection of credulous extensions. International Joint Conference on Artificial Intelligence. 1153–1158.21 indexed citations
18.
Boddy, Mark, Robert P. Goldman, Keiji Kanazawa, & Lynn Andrea Stein. (1989). Investigations of Model-Preference Defaults.1 indexed citations
19.
Morgenstern, Leora & Lynn Andrea Stein. (1988). Why things go wrong: a formal theory of causal reasoning. National Conference on Artificial Intelligence. 518–523.30 indexed citations
20.
Ungar, David, et al.. (1988). Panel: Treaty of Orlando Revisited.. 357–362.
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.