Darrell Conklin
Impact in
- Signal Processing top 1%
- Music and Audio Processing
- Reproductive Medicine top 2%
- Hypothalamic control of reproductive hormones
- Ovarian function and disorders
Papers in
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- Music and Audio Processing 39
-
- Music Technology and Sound Studies 33
- Co-authors
- Ian H. Witten (5 shared papers)Theodore E. Whitmore (7 shared papers)Robert P. Millar (4 shared papers)Catherine Lofton–Day (3 shared papers)Adam J Pawson (2 shared papers)Thomas Ott (2 shared papers)Robin Sellar (2 shared papers)Stephen R. Jaspers (2 shared papers)
- Journals
- Journal of New Music Research (6 papers)Journal of Mathematics and Music (6 papers)Machine Learning (4 papers)Applied Sciences (4 papers)Bioinformatics (2 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Darrell Conklin
79 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 122
- Signal Processing 564
- Reproductive Medicine 341
- Computer Vision and Pattern Recognition 485
- Music 66
- Cognitive Neuroscience 296
Countries citing papers authored by Darrell Conklin
This map shows the geographic impact of Darrell Conklin'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 Darrell Conklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darrell Conklin more than expected).
Fields of papers citing papers by Darrell Conklin
This network shows the impact of papers produced by Darrell Conklin. 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 Darrell Conklin. The network helps show where Darrell Conklin may publish in the future.
Co-authors
The 25 scholars most cited alongside Darrell Conklin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 237 | |
| 2 | 1995 | 186 | |
| 3 | 1999 | 139 | |
| 4 | 1999 | 115 | |
| 5 | 2000 | 99 | |
| 6 | 2003 | 93 | |
| 7 | 1999 | 66 | |
| 8 | 1999 | 57 | |
| 9 | 2010 | 51 | |
| 10 | Representation and Discovery of Multiple Viewpoint Patterns | 2001 | 50 |
| 11 | 2000 | 43 | |
| 12 | 2007 | 42 | |
| 13 | 2013 | 33 | |
| 14 | 2002 | 30 | |
| 15 | 2013 | 30 | |
| 16 | 2009 | 28 | |
| 17 | 2002 | 27 | |
| 18 | 2015 | 24 | |
| 19 | 2000 | 22 | |
| 20 | 2011 | 22 |
About Darrell Conklin
Darrell Conklin is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence and Cognitive Neuroscience, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Music and Audio Processing (39 papers), Music Technology and Sound Studies (33 papers), Neuroscience and Music Perception (13 papers), Genomics and Phylogenetic Studies (8 papers), Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (5 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Signal Processing (564 citations), Reproductive Medicine (341 citations), Computer Vision and Pattern Recognition (485 citations), Music (66 citations) and Cognitive Neuroscience (296 citations). Darrell Conklin has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Ian H. Witten, Theodore E. Whitmore, Robert P. Millar, Catherine Lofton–Day, Adam J Pawson, Thomas Ott, Robin Sellar, Stephen R. Jaspers, Si Lok and Brigitte E. Troskie. Their work appears in journals such as Journal of New Music Research, Journal of Mathematics and Music, Machine Learning, Applied Sciences and Bioinformatics.
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.