Margot Flowers
- Artificial Intelligence top 5%
- Political Science and International Relations
- Industrial and Manufacturing Engineering
- Information Systems
- Mechanical Engineering
- Co-authors
- Michael G. DyerLawrence BirnbaumGerald EstrinJohanna D. MooreMichael J. PazzaniAlex QuiliciSeth Goldman
- Topics
- AI-based Problem Solving and Planning (7 papers)Semantic Web and Ontologies (6 papers)Multi-Agent Systems and Negotiation (4 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Margot Flowers
18 papers receiving 261 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 255
- Political Science and International Relations 25
- Industrial and Manufacturing Engineering 23
- Information Systems 22
- Mechanical Engineering 20
Countries citing papers authored by Margot Flowers
This map shows the geographic impact of Margot Flowers'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 Margot Flowers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margot Flowers more than expected).
Fields of papers citing papers by Margot Flowers
This network shows the impact of papers produced by Margot Flowers. 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 Margot Flowers. The network helps show where Margot Flowers may publish in the future.
Co-authorship network of co-authors of Margot Flowers
This figure shows the co-authorship network connecting the top 25 collaborators of Margot Flowers. A scholar is included among the top collaborators of Margot Flowers 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 Margot Flowers. Margot Flowers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Facing the Inevitable: The Inevitable Disclosure Doctrine and the Defend Trade Secrets Act of 2016 | 2 |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | A reactive approach to explanation in expert and advice-giving systems | 50 |
| 6 | Recognizing and responding to plan-oriented misconceptions | 23 |
| 7 | Using prior learning to facilitate the learning of new causal theories | 9 |
| 8 | 11 | |
| 9 | Naive mechanics comprehension and invention in EDISON | 1 |
| 10 | The role of prior causal theories in generalization | 25 |
| 11 | Editorial comprehension in OpEd through argument units | 16 |
| 12 | 38 | |
| 13 | Learning to understand contractual situations | 4 |
| 14 | 5 | |
| 15 | On being contradictory | 4 |
| 16 | Adversary arguments and the logic of personal attacks | 34 |
| 17 | Opportunistic processing in arguments | 22 |
| 18 | Towards an AI model of argumentation | 32 |
About Margot Flowers
Margot Flowers is a scholar working on Artificial Intelligence, Software and Health Information Management, having authored 18 papers that have together received 297 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (7 papers), Semantic Web and Ontologies (6 papers) and Multi-Agent Systems and Negotiation (4 papers). The work is most often cited by research in Artificial Intelligence (255 citations), Industrial and Manufacturing Engineering (23 citations) and Software (7 citations). Margot Flowers has collaborated with scholars based in United States and France. Frequent co-authors include Michael G. Dyer, Lawrence Birnbaum, Gerald Estrin, Johanna D. Moore, Michael J. Pazzani, Alex Quilici and Seth Goldman. Their work appears in journals such as Knowledge-Based Systems, Connection Science and Washington and Lee law review.
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.