Ronald J. Williams
- Artificial Intelligence top 0.02%
- Computer Vision and Pattern Recognition top 0.1%
- Electrical and Electronic Engineering top 1%
- Control and Systems Engineering top 0.2%
- Signal Processing top 0.2%
- Co-authors
- Geoffrey E. HintonDavid E. RumelhartDavid ZipserJing PengGary M. KuhnC. Lee GilesMary Jo OndrechenLeonel F. Murga
- Topics
- Neural Networks and Applications (6 papers)Archaeology and Historical Studies (5 papers)Protein Structure and Dynamics (4 papers)
- Partner nations
- United StatesAustraliaMexico
In The Last Decade
Ronald J. Williams
40 papers receiving 26.4k citations
Hit Papers
Peers
Comparison fields: 5 of 232
- Artificial Intelligence 12.9k
- Computer Vision and Pattern Recognition 4.4k
- Electrical and Electronic Engineering 3.5k
- Control and Systems Engineering 2.9k
- Signal Processing 2.1k
Countries citing papers authored by Ronald J. Williams
This map shows the geographic impact of Ronald J. Williams'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 Ronald J. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald J. Williams more than expected).
Fields of papers citing papers by Ronald J. Williams
This network shows the impact of papers produced by Ronald J. Williams. 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 Ronald J. Williams. The network helps show where Ronald J. Williams may publish in the future.
Co-authorship network of co-authors of Ronald J. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald J. Williams. A scholar is included among the top collaborators of Ronald J. Williams 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 Ronald J. Williams. Ronald J. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 39 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 16 | |
| 6 | 76 | |
| 7 | 57 | |
| 8 | 26 | |
| 9 | Robust, Efficient, Globally-Optimized Reinforcement Learning with the Parti-Game Algorithm | 2 |
| 10 | 181 | |
| 11 | Gradient-based learning algorithms for recurrent networks and their computational complexity | 251 |
| 12 | Simple statistical gradient-following algorithms for connectionist reinforcement learningbreakdown → | 4007 |
| 13 | Una nueva especie de Centrosema (DC.) Benth. (Leguminosae: Papilionoideae) del Orinoco | 2 |
| 14 | On the use of backpropagation in associative reinforcement learning | 2 |
| 15 | 382 | |
| 16 | Learning representations by back-propagating errorsbreakdown → | 19290 |
| 17 | The Struggle to Know, the Struggle to Survive. | 1 |
| 18 | 19 | |
| 19 | Hebrew Syntax: An Outline | 11 |
| 20 | 2 |
About Ronald J. Williams
Ronald J. Williams is a scholar working on Religious studies, Archeology and Artificial Intelligence, having authored 45 papers that have together received 28.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Archaeology and Historical Studies (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Artificial Intelligence (12.9k citations), Computer Vision and Pattern Recognition (4.4k citations) and Signal Processing (2.1k citations). Ronald J. Williams has collaborated with scholars based in United States, Australia and Mexico. Frequent co-authors include Geoffrey E. Hinton, David E. Rumelhart, David Zipser, Jing Peng, Gary M. Kuhn, C. Lee Giles, Mary Jo Ondrechen, Leonel F. Murga, Marsha B. Novick and Andrew G. Barto. Their work appears in journals such as Nature, The FASEB Journal and American Journal of Preventive Medicine.
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.