Abraham J. Wyner
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Endocrine and Autonomic Systems top 5%
- Co-authors
- David MeasePeter BühlmannJ. ZivAndreas BujaMatthew OlsonYu. M. SuhovP. AlgoetIoannis Kontoyiannis
- Topics
- Algorithms and Data Compression (9 papers)Sports Analytics and Performance (7 papers)Sleep and Wakefulness Research (6 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Abraham J. Wyner
42 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 160
- Artificial Intelligence 774
- Cognitive Neuroscience 317
- Molecular Biology 254
- Electrical and Electronic Engineering 196
- Endocrine and Autonomic Systems 184
Countries citing papers authored by Abraham J. Wyner
This map shows the geographic impact of Abraham J. Wyner'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 Abraham J. Wyner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abraham J. Wyner more than expected).
Fields of papers citing papers by Abraham J. Wyner
This network shows the impact of papers produced by Abraham J. Wyner. 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 Abraham J. Wyner. The network helps show where Abraham J. Wyner may publish in the future.
Co-authorship network of co-authors of Abraham J. Wyner
This figure shows the co-authorship network connecting the top 25 collaborators of Abraham J. Wyner. A scholar is included among the top collaborators of Abraham J. Wyner 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 Abraham J. Wyner. Abraham J. Wyner 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 | 4 | |
| 3 | 1 | |
| 4 | Modern Neural Networks Generalize on Small Data Sets | 64 |
| 5 | 137 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 46 | |
| 9 | 75 | |
| 10 | 37 | |
| 11 | 36 | |
| 12 | 59 | |
| 13 | 64 | |
| 14 | 54 | |
| 15 | Evidence Contrary to the Statistical View of Boosting | 92 |
| 16 | 187 | |
| 17 | On Boosting and the Exponential Loss | 6 |
| 18 | 12 | |
| 19 | Boosting Noisy Data | 16 |
| 20 | On the application of the bootstrap for computing confidence measures on features of induced Bayesian networks. | 15 |
About Abraham J. Wyner
Abraham J. Wyner is a scholar working on Endocrine and Autonomic Systems, Statistics and Probability and Aging, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Algorithms and Data Compression (9 papers), Sports Analytics and Performance (7 papers) and Sleep and Wakefulness Research (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (184 citations), Artificial Intelligence (774 citations) and Aging (39 citations). Abraham J. Wyner has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include David Mease, Peter Bühlmann, J. Ziv, Andreas Buja, Matthew Olson, Yu. M. Suhov, P. Algoet, Ioannis Kontoyiannis, Nir Friedman and Moisés Goldszmidt. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Current Biology.
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.