This map shows the geographic impact of Robert Schrag'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 Schrag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Schrag more than expected).
This network shows the impact of papers produced by Robert Schrag. 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 Schrag. The network helps show where Robert Schrag may publish in the future.
Co-authorship network of co-authors of Robert Schrag
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Schrag.
A scholar is included among the top collaborators of Robert Schrag 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 Schrag. Robert Schrag is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
14 of 14 papers shown
1.
Schrag, Robert. (2012). Exploiting Inference to Improve Temporal RDF Annotations and Queries for Machine Reading.. 104–111.4 indexed citations
2.
Schrag, Robert. (2012). Best-practice Time Point Ontology for Event Calculus-based Temporal Reasoning.. 28–34.1 indexed citations
3.
Strassel, Stephanie, et al.. (2010). The DARPA Machine Reading Program - Encouraging Linguistic and Reasoning Research with a Series of Reading Tasks. Language Resources and Evaluation.22 indexed citations
4.
Schrag, Robert, et al.. (2007). Performance Evaluation for Automated Threat Detection.. 2. 77–98.1 indexed citations
5.
Schrag, Robert, et al.. (2006). Scoring Alerts from Threat Detection Technologies. National Conference on Artificial Intelligence. 29–36.1 indexed citations
Barker, Ken, Jim Blythe, Vinay K. Chaudhri, et al.. (2003). A Knowledge Acquisition Tool for Course of Action Analysis. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 43–50.26 indexed citations
Schrag, Robert, et al.. (2002). Experimental Evaluation of Subject Matter Expert-oriented Knowledge Base Authoring Tools.5 indexed citations
10.
Cohen, Paul R., Vinay K. Chaudhri, Adam Pease, & Robert Schrag. (1999). Does prior knowledge facilitate the development of knowledge-based systems?. 221–226.27 indexed citations
11.
Bayardo, Roberto J. & Robert Schrag. (1997). Using CSP look-back techniques to solve real-world SAT instances. National Conference on Artificial Intelligence. 203–208.320 indexed citations
12.
Schrag, Robert. (1996). Compilation for critically constrained knowledge bases. National Conference on Artificial Intelligence. 510–515.25 indexed citations
Schrag, Robert, et al.. (1992). Managing Disjunction for Practical Temporal Reasoning.. Principles of Knowledge Representation and Reasoning. 36–46.16 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.