Richard Van Slyke
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Industrial and Manufacturing Engineering top 5%
- Management Information Systems top 10%
- Co-authors
- H. FrankAaron KershenbaumInna M. GitmanI. FrischRoger J.‐B. WetsC SuffelDouglas C. BauerF Boesch
- Topics
- Wireless Networks and Protocols (4 papers)Image and Signal Denoising Methods (2 papers)Sparse and Compressive Sensing Techniques (2 papers)
- Cited by
- Computer Networks and CommunicationsIndustrial and Manufacturing EngineeringManagement Information Systems
- Partner nations
- United StatesCzechia
In The Last Decade
Richard Van Slyke
20 papers receiving 385 citations
Peers
Comparison fields: 5 of 65
- Computer Networks and Communications 200
- Electrical and Electronic Engineering 94
- Computational Theory and Mathematics 93
- Industrial and Manufacturing Engineering 84
- Management Information Systems 73
Countries citing papers authored by Richard Van Slyke
This map shows the geographic impact of Richard Van Slyke'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 Van Slyke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Van Slyke more than expected).
Fields of papers citing papers by Richard Van Slyke
This network shows the impact of papers produced by Richard Van Slyke. 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 Van Slyke. The network helps show where Richard Van Slyke may publish in the future.
Co-authorship network of co-authors of Richard Van Slyke
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Van Slyke. A scholar is included among the top collaborators of Richard Van Slyke 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 Van Slyke. Richard Van Slyke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 14 | |
| 3 | retroLP, AN IMPLEMENTATION OF THE STANDARD SIMPLEX METHOD | 2 |
| 4 | 68 | |
| 5 | Business data communications (2nd ed.) | 1 |
| 6 | 36 | |
| 7 | 1 | |
| 8 | 36 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 51 | |
| 16 | 109 | |
| 17 | 12 | |
| 18 | 53 | |
| 19 | 26 | |
| 20 | Uses of Monte Carlo in PERT | 1 |
About Richard Van Slyke
Richard Van Slyke is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Computer Graphics and Computer-Aided Design, having authored 21 papers that have together received 466 indexed citations. Recurring topics across this work include Wireless Networks and Protocols (4 papers), Image and Signal Denoising Methods (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (200 citations), Industrial and Manufacturing Engineering (84 citations) and Management Information Systems (73 citations). Richard Van Slyke has collaborated with scholars based in United States and Czechia. Frequent co-authors include H. Frank, Aaron Kershenbaum, Inna M. Gitman, I. Frisch, Roger J.‐B. Wets, C Suffel, Douglas C. Bauer, F Boesch, Ivan Selesnick and Onur G. Guleryuz. Their work appears in journals such as Operations Research, Networks and IEEE Transactions on Circuits and Systems.
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.