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.
Countries citing papers authored by Sheila A. McIlraith
Since
Specialization
Citations
This map shows the geographic impact of Sheila A. McIlraith'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 Sheila A. McIlraith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheila A. McIlraith more than expected).
Fields of papers citing papers by Sheila A. McIlraith
This network shows the impact of papers produced by Sheila A. McIlraith. 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 Sheila A. McIlraith. The network helps show where Sheila A. McIlraith may publish in the future.
Co-authorship network of co-authors of Sheila A. McIlraith
This figure shows the co-authorship network connecting the top 25 collaborators of Sheila A. McIlraith.
A scholar is included among the top collaborators of Sheila A. McIlraith 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 Sheila A. McIlraith. Sheila A. McIlraith is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Icarte, Rodrigo Toro, Toryn Q. Klassen, Richard Valenzano, & Sheila A. McIlraith. (2018). Teaching Multiple Tasks to an RL Agent using LTL. Adaptive Agents and Multi-Agents Systems. 452–461.44 indexed citations
2.
Rivas, Alberto, Eleni Triantafillou, Christian Muise, Jorge A. Baier, & Sheila A. McIlraith. (2016). Non-Deterministic Planning with Temporally Extended Goals: Completing the Story for Finite and Infinite LTL (Amended Version).. International Joint Conference on Artificial Intelligence.2 indexed citations
3.
McIlraith, Sheila A., et al.. (2016). Numeric Planning via Search Space Abstraction.. International Joint Conference on Artificial Intelligence.3 indexed citations
4.
Sohrabi, Shirin, Jorge A. Baier, & Sheila A. McIlraith. (2010). Diagnosis as planning revisited. Principles of Knowledge Representation and Reasoning. 26–36.28 indexed citations
5.
Baier, Jorge A., Christian Fritz, Meghyn Bienvenu, & Sheila A. McIlraith. (2008). Beyond classical planning: procedural control knowledge and preferences in state-of-the-art planners. National Conference on Artificial Intelligence. 1509–1512.18 indexed citations
6.
Grüninger, Michael, et al.. (2008). A Short Overview of FLOWS: A First-Order Logic Ontology for Web Services.. IEEE Data(base) Engineering Bulletin. 31. 3–7.7 indexed citations
7.
McIlraith, Sheila A., et al.. (2008). Peer-to-peer query answering with inconsistent knowledge. Principles of Knowledge Representation and Reasoning. 329–339.12 indexed citations
8.
Fritz, Christian & Sheila A. McIlraith. (2007). Monitoring plan optimality during execution. International Conference on Automated Planning and Scheduling. 144–151.36 indexed citations
9.
Bienvenu, Meghyn, Christian Fritz, & Sheila A. McIlraith. (2006). Planning with qualitative temporal preferences. Principles of Knowledge Representation and Reasoning. 134–144.52 indexed citations
10.
Fritz, Christian & Sheila A. McIlraith. (2006). Decision-theoretic GOLOG with qualitative preferences. Principles of Knowledge Representation and Reasoning. 153–163.15 indexed citations
11.
McIlraith, Sheila A., Dimitris Plexousakis, & Frank van Harmelen. (2005). The Semantic Web - Iswc 2004: Third International Semantic Web Conference, Hiroshima, Japan, November 7-11, 2004. Proceedings (Lecture Notes in Computer Science). Springer eBooks.8 indexed citations
McIlraith, Sheila A., et al.. (2002). Planning with complex actions.. 356–364.39 indexed citations
15.
Lerner, Uri, et al.. (2002). Monitoring a complex physical system using a hybrid dynamic bayes net. arXiv (Cornell University). 301–310.34 indexed citations
16.
McIlraith, Sheila A. & Eyal Amir. (2001). Theorem proving with structured theories. International Joint Conference on Artificial Intelligence. 624–631.31 indexed citations
17.
Baral, Chitta, Sheila A. McIlraith, & Tran Cao Son. (2000). Formulating diagnostic problem solving using an action language with narratives and sensing. Principles of Knowledge Representation and Reasoning. 311–322.39 indexed citations
18.
McIlraith, Sheila A. & Richard B. Scherl. (2000). What Sensing Tells Us: Towards a Formal Theory of Testing for Dynamical Systems. NASA Technical Reports Server (NASA). 483–490.9 indexed citations
19.
Choueiry, Berthe Y., et al.. (1998). Thoughts Towards a Practical Theory of Reformulation for Reasoning about Physical Systems.2 indexed citations
20.
McIlraith, Sheila A. & Raymond Reiter. (1992). On tests for hypothetical reasoning. Morgan Kaufmann Publishers Inc. eBooks. 89–96.15 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.