David C. Farden
- Cardiology and Cardiovascular Medicine top 10%
- Computational Mechanics top 10%
- Signal Processing top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- M. MerriE.L. TitlebaumJack G. MottleyLouis L. ScharfR. M. DavisJ.R. BellegardaJerome R. BellegardaMichael R. Smith
- Topics
- Advanced Adaptive Filtering Techniques (17 papers)Direction-of-Arrival Estimation Techniques (7 papers)Digital Filter Design and Implementation (5 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Biomedical EngineeringIEEE Signal Processing Magazine
- Partner nations
- United States
In The Last Decade
David C. Farden
24 papers receiving 386 citations
Peers
Comparison fields: 5 of 64
- Cardiology and Cardiovascular Medicine 185
- Computational Mechanics 137
- Signal Processing 135
- Biomedical Engineering 127
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by David C. Farden
This map shows the geographic impact of David C. Farden'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 David C. Farden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Farden more than expected).
Fields of papers citing papers by David C. Farden
This network shows the impact of papers produced by David C. Farden. 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 David C. Farden. The network helps show where David C. Farden may publish in the future.
Co-authorship network of co-authors of David C. Farden
This figure shows the co-authorship network connecting the top 25 collaborators of David C. Farden. A scholar is included among the top collaborators of David C. Farden 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 David C. Farden. David C. Farden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 202 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 14 | |
| 15 | 10 | |
| 16 | 29 | |
| 17 | 9 | |
| 18 | 8 | |
| 19 | 50 | |
| 20 | 5 |
About David C. Farden
David C. Farden is a scholar working on Signal Processing, Computational Mechanics and Metals and Alloys, having authored 29 papers that have together received 417 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (17 papers), Direction-of-Arrival Estimation Techniques (7 papers) and Digital Filter Design and Implementation (5 papers). The work is most often cited by research in Signal Processing (135 citations), Cardiology and Cardiovascular Medicine (185 citations) and Computational Mechanics (137 citations). David C. Farden has collaborated with scholars based in United States. Frequent co-authors include M. Merri, E.L. Titlebaum, Jack G. Mottley, Louis L. Scharf, R. M. Davis, J.R. Bellegarda, Jerome R. Bellegarda, Michael R. Smith, Khalid Sayood and Gerardo León. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Biomedical Engineering and IEEE Signal Processing Magazine.
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.