Margaret Drouhard
- Artificial Intelligence top 10%
- Human-Computer Interaction top 5%
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Safety Research top 10%
- Co-authors
- C. AragonRafał KocielnikJina SuhNan‐Chen ChenOs KeyesNazneen Fatema RajaniJesse VigAnamaria Crisan
- Topics
- Data Visualization and Analytics (6 papers)Biomedical Text Mining and Ontologies (2 papers)Topic Modeling (2 papers)
- Journals
- ACM Transactions on Interactive Intelligent SystemsarXiv (Cornell University)
- Partner nations
- United StatesChileCanada
In The Last Decade
Margaret Drouhard
10 papers receiving 293 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 102
- Human-Computer Interaction 69
- Computer Vision and Pattern Recognition 58
- Sociology and Political Science 56
- Safety Research 55
Countries citing papers authored by Margaret Drouhard
This map shows the geographic impact of Margaret Drouhard'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 Margaret Drouhard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret Drouhard more than expected).
Fields of papers citing papers by Margaret Drouhard
This network shows the impact of papers produced by Margaret Drouhard. 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 Margaret Drouhard. The network helps show where Margaret Drouhard may publish in the future.
Co-authorship network of co-authors of Margaret Drouhard
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Drouhard. A scholar is included among the top collaborators of Margaret Drouhard 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 Margaret Drouhard. Margaret Drouhard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 52 | |
| 3 | 67 | |
| 4 | 33 | |
| 5 | 92 | |
| 6 | 27 | |
| 7 | 3 | |
| 8 | Text Stream Trend Analysis using Multiscale Visual Analytics with Applications to Social Media Systems | 4 |
| 9 | 19 | |
| 10 | 6 | |
| 11 | 2 |
About Margaret Drouhard
Margaret Drouhard is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 305 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Biomedical Text Mining and Ontologies (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Health Informatics (23 citations), Human-Computer Interaction (69 citations) and General Social Sciences (37 citations). Margaret Drouhard has collaborated with scholars based in United States, Chile and Canada. Frequent co-authors include C. Aragon, Rafał Kocielnik, Jina Suh, Nan‐Chen Chen, Os Keyes, Nazneen Fatema Rajani, Jesse Vig, Anamaria Crisan, Himanshu Zade and Lu Gan. Their work appears in journals such as ACM Transactions on Interactive Intelligent Systems and arXiv (Cornell University).
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.