Darrell Conklin
Impact in
- Signal Processing top 1%
- Music and Audio Processing
- Reproductive Medicine top 1%
- Hypothalamic control of reproductive hormones
Papers in
-
- Music and Audio Processing 35
- Music 19
- Musicology and Musical Analysis 19
- Co-authors
- Ian H. Witten (4 shared papers)Theodore E. Whitmore (8 shared papers)Robert Peter Millar (5 shared papers)Brigitte E. Troskie (3 shared papers)Catherine Lofton–Day (4 shared papers)Adam J Pawson (2 shared papers)Robin Sellar (2 shared papers)Bernard Manderick (6 shared papers)
- Journals
- Journal of New Music Research (7 papers)Journal of Mathematics and Music (7 papers)Applied Sciences (4 papers)Machine Learning (3 papers)Marine Biology (2 papers)
- Partner nations
- SpainUnited KingdomCanada
In The Last Decade
Darrell Conklin
103 papers receiving 3.7k citations
Darrell Conklin's Hit Papers
Peers
Comparison fields: 5 of 119
- Signal Processing 533
- Reproductive Medicine 492
- Immunology 885
- Music 192
- Oncology 445
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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Interleukin 21 and its receptor are involved in NK cell expansion and regulation of lymphocyte function Hit paper breakdown → | 2000 | 1049 |
| 2 | 2001 | 474 | |
| 3 | 2001 | 266 | |
| 4 | 1995 | 232 | |
| 5 | 1999 | 153 | |
| 6 | 1999 | 122 | |
| 7 | 2000 | 102 | |
| 8 | 2003 | 96 | |
| 9 | 1998 | 92 | |
| 10 | 1999 | 69 | |
| 11 | Representation and Discovery of Multiple Viewpoint Patterns | 2001 | 66 |
| 12 | 2010 | 60 | |
| 13 | 2002 | 59 | |
| 14 | 1999 | 56 | |
| 15 | 2005 | 48 | |
| 16 | 2007 | 45 | |
| 17 | 2000 | 43 | |
| 18 | 2009 | 36 | |
| 19 | 2013 | 36 | |
| 20 | 2013 | 35 |
About Darrell Conklin
Darrell Conklin is a scholar working on Signal Processing, Music, Computer Vision and Pattern Recognition, Information Systems and Molecular Biology, having authored 109 papers that have together received 3.9k indexed citations. Recurring topics across this work include Music and Audio Processing (35 papers), Music Technology and Sound Studies (31 papers), Data Mining Algorithms and Applications (24 papers), Musicology and Musical Analysis (19 papers), Genomics and Phylogenetic Studies (10 papers), Protein Structure and Dynamics (7 papers), Genetic diversity and population structure (5 papers) and Hypothalamic control of reproductive hormones (4 papers). The work is most often cited by research in Signal Processing (533 citations), Reproductive Medicine (492 citations), Immunology (885 citations), Music (192 citations) and Oncology (445 citations). Darrell Conklin has collaborated with scholars based in Spain, United Kingdom and Canada. Frequent co-authors include Ian H. Witten, Theodore E. Whitmore, Robert Peter Millar, Brigitte E. Troskie, Catherine Lofton–Day, Adam J Pawson, Robin Sellar, Bernard Manderick, Janice Glasgow and Si Lok. Their work appears in journals such as Journal of New Music Research, Journal of Mathematics and Music, Applied Sciences, Machine Learning and Marine 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.