Sean M. McNee
About
In The Last Decade
Sean M. McNee
15 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Information Systems 2.5k
- Artificial Intelligence 1.2k
- Management Science and Operations Research 710
- Computer Vision and Pattern Recognition 622
- Marketing 336
Countries citing papers authored by Sean M. McNee
This map shows the geographic impact of Sean M. McNee'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 Sean M. McNee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean M. McNee more than expected).
Fields of papers citing papers by Sean M. McNee
This network shows the impact of papers produced by Sean M. McNee. 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 Sean M. McNee. The network helps show where Sean M. McNee may publish in the future.
Co-authorship network of co-authors of Sean M. McNee
This figure shows the co-authorship network connecting the top 25 collaborators of Sean M. McNee. A scholar is included among the top collaborators of Sean M. McNee 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 Sean M. McNee. Sean M. McNee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Lessons on applying automated recommender systems to information-seeking tasks | 23 |
| 3 | Being accurate is not enough breakdown → | 647 |
| 4 | Accurate is not always good: How Accuracy Metrics have hurt Recommender Systems | 39 |
| 5 | Meeting user information needs in recommender systems | 30 |
| 6 | 87 | |
| 7 | 52 | |
| 8 | Improving recommendation lists through topic diversification breakdown → | 1175 |
| 9 | 7 | |
| 10 | 160 | |
| 11 | Confidence Displays and Training in Recommender Systems. | 39 |
| 12 | 62 | |
| 13 | 286 | |
| 14 | 340 | |
| 15 | 19 |
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.