Greg O’Shea
About
In The Last Decade
Greg O’Shea
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 1.3k
- Information Systems 664
- Electrical and Electronic Engineering 231
- Artificial Intelligence 113
- Hardware and Architecture 95
Countries citing papers authored by Greg O’Shea
This map shows the geographic impact of Greg O’Shea'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 Greg O’Shea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg O’Shea more than expected).
Fields of papers citing papers by Greg O’Shea
This network shows the impact of papers produced by Greg O’Shea. 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 Greg O’Shea. The network helps show where Greg O’Shea may publish in the future.
Co-authorship network of co-authors of Greg O’Shea
This figure shows the co-authorship network connecting the top 25 collaborators of Greg O’Shea. A scholar is included among the top collaborators of Greg O’Shea 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 Greg O’Shea. Greg O’Shea 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 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | sRoute: Treating the Storage Stack Like a Network. | 20 |
| 6 | 46 | |
| 7 | 38 | |
| 8 | 20 | |
| 9 | 63 | |
| 10 | Chatty tenants and the cloud network sharing problem | 87 |
| 11 | 121 | |
| 12 | Camdoop: exploiting in-network aggregation for big data applications | 115 |
| 13 | 55 | |
| 14 | 19 | |
| 15 | 19 | |
| 16 | 2 | |
| 17 | 43 | |
| 18 | 91 | |
| 19 | 2 | |
| 20 | 12 |
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.