Rick Barber
About
In The Last Decade
Rick Barber
7 papers receiving 358 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 238
- Statistical and Nonlinear Physics 171
- Information Systems 125
- Molecular Biology 71
- Computer Networks and Communications 54
Countries citing papers authored by Rick Barber
This map shows the geographic impact of Rick Barber'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 Rick Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rick Barber more than expected).
Fields of papers citing papers by Rick Barber
This network shows the impact of papers produced by Rick Barber. 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 Rick Barber. The network helps show where Rick Barber may publish in the future.
Co-authorship network of co-authors of Rick Barber
This figure shows the co-authorship network connecting the top 25 collaborators of Rick Barber. A scholar is included among the top collaborators of Rick Barber 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 Rick Barber. Rick Barber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | Arnold: Declarative Crowd-Machine Data Integration | 11 |
| 3 | 284 | |
| 4 | 14 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 9 |
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.