Anthony S. Maida
About
In The Last Decade
Anthony S. Maida
75 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Electrical and Electronic Engineering 786
- Artificial Intelligence 712
- Cognitive Neuroscience 608
- Cellular and Molecular Neuroscience 188
- Computer Vision and Pattern Recognition 174
Countries citing papers authored by Anthony S. Maida
This map shows the geographic impact of Anthony S. Maida'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 Anthony S. Maida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony S. Maida more than expected).
Fields of papers citing papers by Anthony S. Maida
This network shows the impact of papers produced by Anthony S. Maida. 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 Anthony S. Maida. The network helps show where Anthony S. Maida may publish in the future.
Co-authorship network of co-authors of Anthony S. Maida
This figure shows the co-authorship network connecting the top 25 collaborators of Anthony S. Maida. A scholar is included among the top collaborators of Anthony S. Maida 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 Anthony S. Maida. Anthony S. Maida 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 | 2 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 18 | |
| 6 | Deep learning in spiking neural networks breakdown → | 814 |
| 7 | 6 | |
| 8 | Natural Image Bases to Represent Neuroimaging Data | 114 |
| 9 | Performance of generalized multilayered perceptons trained using the Levenberg-Marquardt method | 2 |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | Synchronized Firing in a Time-Delayed Neural Network | 1 |
| 14 | Robot navigation with a polar neural map | 3 |
| 15 | Knowledge Representation Requirements for Description-Based Communication. | 3 |
| 16 | 2 | |
| 17 | A uniform architecture for rule-based meta reasoning and representation | 2 |
| 18 | 1 | |
| 19 | Processing entailments and accessing facts in a uniform frame system | 2 |
| 20 | Knowing intentional individuals, and reasoning about knowing intentional individuals | 4 |
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.