Richard J. Roiger
- Astronomy and Astrophysics top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computational Theory and Mathematics
- Signal Processing
- Co-authors
- David J. HaglinJon HakkilaCharles A. MeeganTimothy W. GiblinGeoffrey N. PendletonRobert S. MallozziW. S. PačiesasLinda L. Marshall
- Topics
- Data Mining Algorithms and Applications (6 papers)Gamma-ray bursts and supernovae (5 papers)Data Analysis with R (3 papers)
- Journals
- The Astrophysical JournalThe Astrophysical Journal Supplement SeriesEuropean Journal of Vascular and Endovascular Surgery
- Partner nations
- United StatesItalyFrance
In The Last Decade
Richard J. Roiger
18 papers receiving 350 citations
Peers
Comparison fields: 5 of 102
- Astronomy and Astrophysics 123
- Artificial Intelligence 99
- Information Systems 98
- Computational Theory and Mathematics 28
- Signal Processing 26
Countries citing papers authored by Richard J. Roiger
This map shows the geographic impact of Richard J. Roiger'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 Richard J. Roiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard J. Roiger more than expected).
Fields of papers citing papers by Richard J. Roiger
This network shows the impact of papers produced by Richard J. Roiger. 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 Richard J. Roiger. The network helps show where Richard J. Roiger may publish in the future.
Co-authorship network of co-authors of Richard J. Roiger
This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Roiger. A scholar is included among the top collaborators of Richard J. Roiger 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 Richard J. Roiger. Richard J. Roiger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 32 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | Subgroups of Gamma-Ray Bursts | 3 |
| 11 | 44 | |
| 12 | Data Mining Principles: A Primer of Business Professionals with Cdrom | 1 |
| 13 | Data Mining: A Tutorial Based Primer | 195 |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 57 | |
| 17 | 4 | |
| 18 | Selecting training instances for supervised classification | 2 |
| 19 | Incremental concept formation in an instructional environment | 0 |
About Richard J. Roiger
Richard J. Roiger is a scholar working on Astronomy and Astrophysics, Information Systems and Artificial Intelligence, having authored 19 papers that have together received 385 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Gamma-ray bursts and supernovae (5 papers) and Data Analysis with R (3 papers). The work is most often cited by research in Astronomy and Astrophysics (123 citations), Instrumentation (17 citations) and Information Systems (98 citations). Richard J. Roiger has collaborated with scholars based in United States, Italy and France. Frequent co-authors include David J. Haglin, Jon Hakkila, Charles A. Meegan, Timothy W. Giblin, Geoffrey N. Pendleton, Robert S. Mallozzi, W. S. Pačiesas, Linda L. Marshall, Kevin Young and S. Sonnett. Their work appears in journals such as The Astrophysical Journal, The Astrophysical Journal Supplement Series and European Journal of Vascular and Endovascular Surgery.
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.