Karl Schultz
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Bayesian Modeling and Causal Inference
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Intelligent Tutoring Systems and Adaptive Learning
- Machine Learning and Algorithms
-
- Data Quality and Management
Papers in
-
- Intelligent Tutoring Systems and Adaptive Learning 8
- Topic Modeling 7
- Speech and dialogue systems 6
- Natural Language Processing Techniques 4
- AI-based Problem Solving and Planning 2
- Bayesian Modeling and Causal Inference 2
- Semantic Web and Ontologies 2
-
- Human-Automation Interaction and Safety 2
- Co-authors
- Andrew McCallum (4 shared papers)Sameer Singh (2 shared papers)Khashayar Rohanimanesh (2 shared papers)Michael Wick (3 shared papers)Stanley Peters (6 shared papers)Heather Pon-Barry (4 shared papers)Brady Clark (5 shared papers)Elizabeth Owen Bratt (5 shared papers)
- Journals
- Nature Communications (1 paper)Journal of cardiovascular computed tomography (1 paper)Educational Technology & Society (1 paper)International Journal of Artificial Intelligence in Education (1 paper)Proceedings of the Human Factors and Ergonomics Society Annual Meeting (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Karl Schultz
18 papers receiving 194 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 164
- Management Science and Operations Research 24
- Computer Science Applications 9
- Signal Processing 17
- Information Systems 34
Countries citing papers authored by Karl Schultz
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).
Fields of papers citing papers by Karl Schultz
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-authors
The 25 scholars most cited alongside Karl Schultz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs | 2009 | 115 |
| 2 | 2008 | 27 | |
| 3 | 2004 | 13 | |
| 4 | Overcoming misconceptions with a computer-based tutor | 1987 | 12 |
| 5 | FACTORIE: Efficient Probabilistic Programming for Relational Factor Graphs via Imperative Declarations of Structure, Inference and Learning | 2008 | 11 |
| 6 | 2004 | 9 | |
| 7 | Contextualizing Reflective Dialogue in a Spoken Conversational Tutor | 2005 | 7 |
| 8 | Modeling Expert Effects and Common Ground Using Questions Under Discussion | 2011 | 7 |
| 9 | 2004 | 4 | |
| 10 | 2009 | 3 | |
| 11 | Knowledge primitives for tutoring systems. | 1988 | 3 |
| 12 | 2008 | 2 | |
| 13 | 2023 | 1 | |
| 14 | Human-machine cooperation with epistemological DBs: supporting user corrections to knowledge bases | 2012 | 1 |
| 15 | 2006 | 1 | |
| 16 | Challenges in Interpreting Spoken Military Commands and Tutoring Session Responses | 2007 | 1 |
| 17 | The Gerona Knowledge Ontology and Its Support for Spoken Dialogue Tutoring of Crisis Decision Making Skills | 2003 | 1 |
| 18 | An Analogy-Based Computer Tutor for Remediating Science Misconceptions | 1990 | 1 |
About Karl Schultz
Karl Schultz is a scholar working on Artificial Intelligence, Social Psychology, Management Science and Operations Research, Surgery and Computer Networks and Communications, having authored 18 papers that have together received 219 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (8 papers), Topic Modeling (7 papers), Speech and dialogue systems (6 papers), Natural Language Processing Techniques (4 papers), AI-based Problem Solving and Planning (2 papers), Bayesian Modeling and Causal Inference (2 papers), Human-Automation Interaction and Safety (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (164 citations), Management Science and Operations Research (24 citations), Computer Science Applications (9 citations), Signal Processing (17 citations) and Information Systems (34 citations). Karl Schultz has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Andrew McCallum, Sameer Singh, Khashayar Rohanimanesh, Michael Wick, Stanley Peters, Heather Pon-Barry, Brady Clark, Elizabeth Owen Bratt, David J. Brown and Thomas J. Murray. Their work appears in journals such as Nature Communications, Journal of cardiovascular computed tomography, Educational Technology & Society, International Journal of Artificial Intelligence in Education and Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
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.