Countries citing papers authored by Craig Schlenoff
Since
Specialization
Citations
This map shows the geographic impact of Craig Schlenoff'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 Craig Schlenoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Schlenoff more than expected).
This network shows the impact of papers produced by Craig Schlenoff. 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 Craig Schlenoff. The network helps show where Craig Schlenoff may publish in the future.
Co-authorship network of co-authors of Craig Schlenoff
This figure shows the co-authorship network connecting the top 25 collaborators of Craig Schlenoff.
A scholar is included among the top collaborators of Craig Schlenoff 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 Craig Schlenoff. Craig Schlenoff is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Downs, Anthony J., et al.. (2016). Test methods for robot agility in manufacturing. Industrial Robot the international journal of robotics research and application. 43(5). 563–572.6 indexed citations
4.
Proctor, Frederick M., et al.. (2016). The Canonical Robot Command Language (CRCL). Industrial Robot the international journal of robotics research and application. 43(5). 495–502.15 indexed citations
Schlenoff, Craig, et al.. (2006). Overview of the First Advanced Technology Evaluations for ASSIST | NIST.6 indexed citations
11.
Schlenoff, Craig, et al.. (2005). A standard intelligent system ontology. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5804. 46–46.7 indexed citations
12.
Madhavan, R. & Craig Schlenoff. (2005). The Effect of Process Models on Short-term Prediction of Moving Objects for Autonomous Driving. International Journal of Control Automation and Systems. 3(4). 509–523.6 indexed citations
13.
Cañamero, Lola, Zachary Dodds, Lloyd Greenwald, et al.. (2004). The 2004 AAAI Spring Symposium Series. AI Magazine. 25(4). 95–95.5 indexed citations
14.
Schlenoff, Craig, Jerome Ajot, & R. Madhavan. (2004). PRIDE: A Framework for Performance Evaluation of Intelligent Vehicles in Dynamic, On-Road Environments.5 indexed citations
15.
Albus, James S., Craig Schlenoff, R. Madhavan, Stephen Balakirsky, & Tony Barbera. (2004). Integrating Disparate Knowledge Representations within 4D/RCS.. National Conference on Artificial Intelligence. 1–8.1 indexed citations
Barbera, Anthony J., John A. Horst, Craig Schlenoff, Evan Wallace, & David W. Aha. (2003). Developing World Model Data Specifications as Metrics for Sensory Processing for On-Road Driving Tasks.5 indexed citations
18.
Evans, John, Elena R. Messina, James S. Albus, & Craig Schlenoff. (2002). Knowledge Engineering for Real Time Control.
19.
Schlenoff, Craig, et al.. (1999). The essence of the process specification language. 16(4). 204–216.29 indexed citations
20.
Grüninger, Michael, et al.. (1997). Using Process Requirements as the Basis for the Creation and Evaluation of Process Ontologies for Enterprise Modeling | NIST. Communications of the ACM.1 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.