Edward J. Wegman
- Statistics and Probability top 0.5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Control and Systems Engineering top 5%
- Co-authors
- David R. BrillingerIan W. WrightTim RobertsonS.A. KassamS.C. SchwartzJohn B. ThomasW. D. RayDavid J. Marchette
- Topics
- Advanced Statistical Methods and Models (15 papers)Statistical Methods and Inference (15 papers)Data Visualization and Analytics (10 papers)
- Journals
- Journal of the American Statistical AssociationIEEE Transactions on Pattern Analysis and Machine IntelligenceTechnometrics
- Partner nations
- United StatesAustraliaEgypt
In The Last Decade
Edward J. Wegman
106 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Statistics and Probability 824
- Artificial Intelligence 761
- Computer Vision and Pattern Recognition 528
- Signal Processing 422
- Control and Systems Engineering 261
Countries citing papers authored by Edward J. Wegman
This map shows the geographic impact of Edward J. Wegman'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 Edward J. Wegman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward J. Wegman more than expected).
Fields of papers citing papers by Edward J. Wegman
This network shows the impact of papers produced by Edward J. Wegman. 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 Edward J. Wegman. The network helps show where Edward J. Wegman may publish in the future.
Co-authorship network of co-authors of Edward J. Wegman
This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Wegman. A scholar is included among the top collaborators of Edward J. Wegman 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 Edward J. Wegman. Edward J. Wegman 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 mining and data visualization | 11 |
| 2 | Handbook of Statistics, Volume 24: Data Mining and Data Visualization (Handbook of Statistics) | 6 |
| 3 | Statistical Software for Today and Tomorrow | 4 |
| 4 | 1 | |
| 5 | 23 | |
| 6 | On some mathematics for visualizing high dimensional data | 12 |
| 7 | 17 | |
| 8 | Using genetic algorithms for adaptive function approximation and mesh generation | 2 |
| 9 | 13 | |
| 10 | Computing Science and Statistics : computational statistics and data analysis...on the Eve of the 21st Century : proceedings of the Second World Congress of the IASC, Feb. 19-22, 1997, Pasadena, California | 1 |
| 11 | 4 | |
| 12 | Hyperdimensional Data Analysis Using Parallel Coordinatesbreakdown → | 455 |
| 13 | 237 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | An Automaton Modelled in an Environment. | 1 |
| 17 | 20 | |
| 18 | 60 | |
| 19 | 156 | |
| 20 | 34 |
About Edward J. Wegman
Edward J. Wegman is a scholar working on Statistics and Probability, Computer Graphics and Computer-Aided Design and Statistics, Probability and Uncertainty, having authored 114 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (15 papers), Statistical Methods and Inference (15 papers) and Data Visualization and Analytics (10 papers). The work is most often cited by research in Statistics and Probability (824 citations), Signal Processing (422 citations) and Statistics, Probability and Uncertainty (239 citations). Edward J. Wegman has collaborated with scholars based in United States, Australia and Egypt. Frequent co-authors include David R. Brillinger, Ian W. Wright, Tim Robertson, S.A. Kassam, S.C. Schwartz, John B. Thomas, W. D. Ray, David J. Marchette, James G. Smith and Jeffrey L. Solka. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Technometrics.
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.