Benjamin W. Wah
About
In The Last Decade
Benjamin W. Wah
198 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 1.6k
- Computer Networks and Communications 1.3k
- Information Systems 692
- Computer Vision and Pattern Recognition 658
- Signal Processing 565
Countries citing papers authored by Benjamin W. Wah
This map shows the geographic impact of Benjamin W. Wah'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 Benjamin W. Wah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin W. Wah more than expected).
Fields of papers citing papers by Benjamin W. Wah
This network shows the impact of papers produced by Benjamin W. Wah. 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 Benjamin W. Wah. The network helps show where Benjamin W. Wah may publish in the future.
Co-authorship network of co-authors of Benjamin W. Wah
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin W. Wah. A scholar is included among the top collaborators of Benjamin W. Wah 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 Benjamin W. Wah. Benjamin W. Wah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Constraint partitioning for solving planning problems with trajectory constraints and goal preferences | 25 |
| 2 | Violation-guided learning for constrained formulations in neural-network time-series predictions | 3 |
| 3 | Trap escaping strategies in discrete Lagrangian methods for solving hard satisfiability and maximum satisfiability problems | 23 |
| 4 | Machine learning of computer vision algorithms | 2 |
| 5 | Dynamic Control of Genetic Algorithms in a Noisy Environment | 38 |
| 6 | Synthesizing Otimal Lower Dimensional Processor Arrays. | 2 |
| 7 | Parallel Iterative Refining A * Search. | 1 |
| 8 | Computers for artificial intelligence processing | 13 |
| 9 | Architectures for strategy learning | 2 |
| 10 | Artificial Neural Networks: Concepts and Theory | 72 |
| 11 | Computers for symbolic processing | 1 |
| 12 | Optimal Mapping of Neural Networks on Multicomputers. | 9 |
| 13 | Systematic design approaches for algorithmically specified systolic arrays | 22 |
| 14 | 1 | |
| 15 | How Good are Parallel and Ordered Depth-First Searches? | 9 |
| 16 | Computers for Artificial Intelligence Applications | 12 |
| 17 | Systolic Processing for Dynamic Programming Problems. | 16 |
| 18 | MANIP-2 : A Multicomputer Architecture for Evaluating Logic Programs. | 12 |
| 19 | How to cope with anomalies in parallel approximate branch-and-bound algorithms | 7 |
| 20 | 14 |
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.