This map shows the geographic impact of Bart Peintner'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 Bart Peintner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Peintner more than expected).
This network shows the impact of papers produced by Bart Peintner. 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 Bart Peintner. The network helps show where Bart Peintner may publish in the future.
Co-authorship network of co-authors of Bart Peintner
This figure shows the co-authorship network connecting the top 25 collaborators of Bart Peintner.
A scholar is included among the top collaborators of Bart Peintner 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 Bart Peintner. Bart Peintner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gervasio, Melinda, et al.. (2011). PTIME. ACM Transactions on Intelligent Systems and Technology. 2(4). 1–22.33 indexed citations
4.
Peintner, Bart, et al.. (2009). Task Assistant: Personalized Task Management for Military Environments. Innovative Applications of Artificial Intelligence.4 indexed citations
5.
Gervasio, Melinda, et al.. (2009). Evaluating User-Adaptive Systems: Lessons from Experiences with a Personalized Meeting Scheduling Assistant. Innovative Applications of Artificial Intelligence.9 indexed citations
Peintner, Bart, et al.. (2007). Bringing the User Back into Scheduling: Two Case Studies of Interaction with Intelligent Scheduling Assistants.. National Conference on Artificial Intelligence. 10–11.1 indexed citations
9.
Moffitt, Michael D., et al.. (2007). The Design of a User-Centric Scheduling System for Multifaceted Real-World Problems.1 indexed citations
10.
Gervasio, Melinda, et al.. (2007). Balancing the Needs of Personalization and Reasoning in a User-Centric Scheduling Assistant. Defense Technical Information Center (DTIC).5 indexed citations
11.
Gervasio, Melinda, et al.. (2006). Multi-Criteria Evaluation in User-Centric Distributed Scheduling Agents.. National Conference on Artificial Intelligence. 151–152.1 indexed citations
Moffitt, Michael D., Bart Peintner, & Martha E. Pollack. (2005). Augmenting disjunctive temporal problems with finite-domain constraints. National Conference on Artificial Intelligence. 1187–1192.16 indexed citations
14.
Peintner, Bart & Martha E. Pollack. (2005). Any time, complete algorithm for finding utilitarian optimal solutions to STPPs. National Conference on Artificial Intelligence. 443–448.11 indexed citations
15.
Peintner, Bart & Martha E. Pollack. (2005). Algorithms for constraint-based temporal reasoning with preferences.. Deep Blue (University of Michigan).2 indexed citations
16.
Peintner, Bart, Michael D. Moffitt, & Martha E. Pollack. (2005). Solving over-constrained Disjunctive Temporal problems with preferences. International Conference on Automated Planning and Scheduling. 202–211.8 indexed citations
17.
Peintner, Bart & Martha E. Pollack. (2004). Low-cost addition of preferences to DTPs and TCSPs. National Conference on Artificial Intelligence. 723–728.30 indexed citations
18.
Colbry, Dirk, Bart Peintner, & Martha E. Pollack. (2002). Execution monitoring with quantitative temporal Bayesian networks. 194–203.13 indexed citations
19.
Pollack, Martha E., Laura E. Brown, Dirk Colbry, et al.. (2002). Pearl: A Mobile Robotic Assistant for the Elderly.173 indexed citations
20.
Colbry, Dirk, Bart Peintner, & Martha E. Pollack. (2002). Execution Monitoring with Quantitative Temporal Dynamic Bayesian Networks.. 194–203.3 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.