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.
Enabling technology for knowledge sharing
1991780 citationsRobert Neches, Richard Fikes et al.AI Magazineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Robert Neches'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 Neches with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Neches more than expected).
This network shows the impact of papers produced by Robert Neches. 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 Neches. The network helps show where Robert Neches may publish in the future.
Co-authorship network of co-authors of Robert Neches
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Neches.
A scholar is included among the top collaborators of Robert Neches 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 Robert Neches. Robert Neches is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Szekely, Pedro, et al.. (2006). An Examination of Criticality-Sensitive Approaches to Coordination.. National Conference on Artificial Intelligence. 136–142.1 indexed citations
6.
Frank, Martin, et al.. (2002). Webscripter: world-wide grassroots ontology translation via implicit end user alignment. International Semantic Web Conference. 22–28.2 indexed citations
7.
Neches, Robert, et al.. (1999). GeoWorlds: A Geographically Based Information System for Situation Understanding and Management. 0–0.8 indexed citations
Patil, Ramesh S., Richard Fikes, Peter F. Patel‐Schneider, et al.. (1997). The DARPA knowledge sharing effort: progress report. Principles of Knowledge Representation and Reasoning. 243–254.135 indexed citations
Neches, Robert, Richard Fikes, Tim Finin, et al.. (1991). Enabling technology for knowledge sharing. AI Magazine. 12(3). 36–56.780 indexed citations breakdown →
Neches, Robert, et al.. (1989). Classification-Based Programming: A Deep Integration of Frames and Rules. Defense Technical Information Center (DTIC).6 indexed citations
16.
Yen, John, et al.. (1988). Specification by reformulation: a paradigm for building integrated user support environments. National Conference on Artificial Intelligence. 814–818.7 indexed citations
Swartout, William & Robert Neches. (1986). The shifting terminological space: an impediment to evolvability. National Conference on Artificial Intelligence. 936–941.13 indexed citations
19.
Neches, Robert, William Swartout, & Johanna D. Moore. (1985). Explainable (and maintainable) expert systems. 382–389.26 indexed citations
20.
Neches, Robert. (1981). HPM: a computational formalism for heuristic procedure modification. International Joint Conference on Artificial Intelligence. 21(2). 283–288.5 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.