Darrin Speegle
- Applied Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Mathematical Physics top 10%
- Signal Processing top 10%
- Computational Mechanics
- Co-authors
- Marcin BownikDavid R. LarsonXingde DaiZiemowit RzeszotnikGitta KutyniokWojciech CzajaDaniel FreemanPeter G. Casazza
- Topics
- Mathematical Analysis and Transform Methods (18 papers)Image and Signal Denoising Methods (10 papers)Digital Filter Design and Implementation (4 papers)
- Partner nations
- United StatesPolandGermany
In The Last Decade
Darrin Speegle
19 papers receiving 313 citations
Peers
Comparison fields: 5 of 47
- Applied Mathematics 280
- Computer Vision and Pattern Recognition 183
- Mathematical Physics 87
- Signal Processing 47
- Computational Mechanics 47
Countries citing papers authored by Darrin Speegle
This map shows the geographic impact of Darrin Speegle'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 Darrin Speegle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darrin Speegle more than expected).
Fields of papers citing papers by Darrin Speegle
This network shows the impact of papers produced by Darrin Speegle. 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 Darrin Speegle. The network helps show where Darrin Speegle may publish in the future.
Co-authorship network of co-authors of Darrin Speegle
This figure shows the co-authorship network connecting the top 25 collaborators of Darrin Speegle. A scholar is included among the top collaborators of Darrin Speegle 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 Darrin Speegle. Darrin Speegle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 13 | |
| 3 | 15 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 18 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 27 | |
| 14 | On the existence of wavelets for non-expansive dilation matrices | 9 |
| 15 | 15 | |
| 16 | 56 | |
| 17 | 7 | |
| 18 | 35 | |
| 19 | 2 | |
| 20 | 77 |
About Darrin Speegle
Darrin Speegle is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 340 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (18 papers), Image and Signal Denoising Methods (10 papers) and Digital Filter Design and Implementation (4 papers). The work is most often cited by research in Applied Mathematics (280 citations), Mathematical Physics (87 citations) and Computer Vision and Pattern Recognition (183 citations). Darrin Speegle has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Marcin Bownik, David R. Larson, Xingde Dai, Ziemowit Rzeszotnik, Gitta Kutyniok, Wojciech Czaja, Daniel Freeman, Peter G. Casazza, Gustavo Garrigós and John F. Hatton. Their work appears in journals such as Journal of Endodontics, Advances in Mathematics and Bulletin of the London Mathematical Society.
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.