This map shows the geographic impact of Karl Schultz'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 Karl Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Schultz more than expected).
This network shows the impact of papers produced by Karl Schultz. 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 Karl Schultz. The network helps show where Karl Schultz may publish in the future.
Co-authorship network of co-authors of Karl Schultz
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Schultz.
A scholar is included among the top collaborators of Karl Schultz 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 Karl Schultz. Karl Schultz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wick, Michael, Karl Schultz, & Andrew McCallum. (2012). Human-machine cooperation with epistemological DBs: supporting user corrections to knowledge bases. 89–94.1 indexed citations
3.
Lauer, Sven, et al.. (2011). Modeling Expert Effects and Common Ground Using Questions Under Discussion.6 indexed citations
4.
McCallum, Andrew, Karl Schultz, & Sameer Singh. (2009). FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 22. 1249–1257.115 indexed citations
McCallum, Andrew, Khashayar Rohanimanesh, Michael Wick, Karl Schultz, & Sameer Singh. (2008). FACTORIE: Efficient Probabilistic Programming for Relational Factor Graphs via Imperative Declarations of Structure, Inference and Learning. ScholarWorks@UMassAmherst (University of Massachusetts Amherst).11 indexed citations
Bratt, Elizabeth Owen, Karl Schultz, & Stanley Peters. (2007). Challenges in Interpreting Spoken Military Commands and Tutoring Session Responses.1 indexed citations
10.
Pon-Barry, Heather, et al.. (2005). Contextualizing Reflective Dialogue in a Spoken Conversational Tutor. Educational Technology & Society. 8(4). 42–51.6 indexed citations
Fried, David, et al.. (2003). The Gerona Knowledge Ontology and Its Support for Spoken Dialogue Tutoring of Crisis Decision Making Skills.1 indexed citations
15.
Clement, John J., Tom Murray, Karl Schultz, & Dan Brown. (1990). An Analogy-Based Computer Tutor for Remediating Science Misconceptions. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 1(2).1 indexed citations
16.
Woolf, Bobby, Tom Murray, Daniel D. Suthers, & Karl Schultz. (1988). Knowledge primitives for tutoring systems.. ScholarSpace (University of Hawaii at Manoa).3 indexed citations
17.
Clement, John J., Karl Schultz, Thomas J. Murray, & David J. Brown. (1987). Overcoming misconceptions with a computer-based tutor. ScholarWorks@UMassAmherst (University of Massachusetts Amherst).12 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.