Richard Dazeley
About
In The Last Decade
Richard Dazeley
56 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 636
- Computational Theory and Mathematics 192
- Information Systems 182
- Control and Systems Engineering 141
- Electrical and Electronic Engineering 118
Countries citing papers authored by Richard Dazeley
This map shows the geographic impact of Richard Dazeley'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 Dazeley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Dazeley more than expected).
Fields of papers citing papers by Richard Dazeley
This network shows the impact of papers produced by Richard Dazeley. 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 Dazeley. The network helps show where Richard Dazeley may publish in the future.
Co-authorship network of co-authors of Richard Dazeley
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Dazeley. A scholar is included among the top collaborators of Richard Dazeley 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 Dazeley. Richard Dazeley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Data-driven machinery fault diagnosis: A comprehensive review breakdown → | 26 |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 20 | |
| 10 | 4 | |
| 11 | A practical guide to multi-objective reinforcement learning and planning breakdown → | 158 |
| 12 | 15 | |
| 13 | 18 | |
| 14 | Explainable robotic systems: Interpreting outcome-focused actions in a reinforcement learning scenario. | 2 |
| 15 | 1 | |
| 16 | MORL-Glue: a benchmark suite for multi-objective reinforcement learning | 5 |
| 17 | Local n-grams for author identification: notebook for PAN at CLEF 2013 | 4 |
| 18 | 1 | |
| 19 | An Online Classification and Prediction Hybrid System for Knowledge Discovery in Databases | 3 |
| 20 | Rated MCRDR: finding non-linear relationships between classifications in MCRDR | 3 |
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.