Hugh Leather
About
In The Last Decade
Hugh Leather
60 papers receiving 985 citations
Peers
Comparison fields: 5 of 78
- Hardware and Architecture 564
- Computer Networks and Communications 386
- Information Systems 347
- Artificial Intelligence 306
- Software 242
Countries citing papers authored by Hugh Leather
This map shows the geographic impact of Hugh Leather'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 Hugh Leather with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugh Leather more than expected).
Fields of papers citing papers by Hugh Leather
This network shows the impact of papers produced by Hugh Leather. 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 Hugh Leather. The network helps show where Hugh Leather may publish in the future.
Co-authorship network of co-authors of Hugh Leather
This figure shows the co-authorship network connecting the top 25 collaborators of Hugh Leather. A scholar is included among the top collaborators of Hugh Leather 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 Hugh Leather. Hugh Leather 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 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | Value Learning for Throughput Optimization of Deep Learning Workloads | 17 |
| 7 | 19 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | DeepSmith: Compiler Fuzzing through Deep Learning | 1 |
| 11 | 31 | |
| 12 | 30 | |
| 13 | 91 | |
| 14 | Parallel Computing: On the Road to Exascale | 31 |
| 15 | Towards Collaborative Performance Tuning of Algorithmic Skeletons | 3 |
| 16 | 17 | |
| 17 | 12 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 2 |
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.