Allison J. B. Chaney
- Information Systems top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Co-authors
- David M. BleiTina Eliassi‐RadJulian RungeDaniel WentzelYanwen WangAvi GoldfarbMike GartrellYing Zhu
- Topics
- Topic Modeling (3 papers)Recommender Systems and Techniques (3 papers)Media Influence and Politics (2 papers)
- Journals
- Proceedings of the National Academy of SciencesMarketing LettersResearch Repository (Delft University of Technology)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Allison J. B. Chaney
11 papers receiving 231 citations
Peers
Comparison fields: 5 of 57
- Information Systems 137
- Artificial Intelligence 105
- Sociology and Political Science 41
- Computer Vision and Pattern Recognition 37
- Management Science and Operations Research 35
Countries citing papers authored by Allison J. B. Chaney
This map shows the geographic impact of Allison J. B. Chaney'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 Allison J. B. Chaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allison J. B. Chaney more than expected).
Fields of papers citing papers by Allison J. B. Chaney
This network shows the impact of papers produced by Allison J. B. Chaney. 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 Allison J. B. Chaney. The network helps show where Allison J. B. Chaney may publish in the future.
Co-authorship network of co-authors of Allison J. B. Chaney
This figure shows the co-authorship network connecting the top 25 collaborators of Allison J. B. Chaney. A scholar is included among the top collaborators of Allison J. B. Chaney 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 Allison J. B. Chaney. Allison J. B. Chaney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 4 | |
| 4 | 26 | |
| 5 | 10 | |
| 6 | 36 | |
| 7 | 6 | |
| 8 | 116 | |
| 9 | 17 | |
| 10 | Real-time Topic Models for Crisis Counseling | 6 |
| 11 | Mining Large-scale TV Group Viewing Patterns for Group Recommendation | 3 |
About Allison J. B. Chaney
Allison J. B. Chaney is a scholar working on General Social Sciences, Applied Psychology and Marketing, having authored 11 papers that have together received 239 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Recommender Systems and Techniques (3 papers) and Media Influence and Politics (2 papers). The work is most often cited by research in Information Systems (137 citations), Transportation (25 citations) and Computational Mathematics (2 citations). Allison J. B. Chaney has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include David M. Blei, Tina Eliassi‐Rad, Julian Runge, Daniel Wentzel, Yanwen Wang, Avi Goldfarb, Mike Gartrell, Ying Zhu, Linda Hagen and Nathan Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Marketing Letters and Research Repository (Delft University of Technology).
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.