Darrell Conklin

4.8k total citations
83 papers, 1.9k citations indexed

About

Darrell Conklin is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Darrell Conklin has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Signal Processing, 35 papers in Computer Vision and Pattern Recognition and 25 papers in Molecular Biology. Recurrent topics in Darrell Conklin's work include Music and Audio Processing (39 papers), Music Technology and Sound Studies (33 papers) and Neuroscience and Music Perception (13 papers). Darrell Conklin is often cited by papers focused on Music and Audio Processing (39 papers), Music Technology and Sound Studies (33 papers) and Neuroscience and Music Perception (13 papers). Darrell Conklin collaborates with scholars based in Spain, United Kingdom and United States. Darrell Conklin's co-authors include Ian H. Witten, Theodore E. Whitmore, Robert P. Millar, Catherine Lofton–Day, Robin Sellar, Adam J Pawson, Thomas Ott, Si Lok, Stephen R. Jaspers and Brigitte E. Troskie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Darrell Conklin

79 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Darrell Conklin Spain 22 564 485 439 341 296 83 1.9k
Masaki Kawamata Japan 17 120 0.2× 44 0.1× 830 1.9× 61 0.2× 74 0.3× 50 2.1k
Marvin B. Shapiro United States 13 53 0.1× 47 0.1× 2.3k 5.3× 35 0.1× 67 0.2× 31 3.5k
D. Mark Eckley United States 23 42 0.1× 436 0.9× 1.6k 3.6× 9 0.0× 109 0.4× 32 2.9k
Giulio Pavesi Italy 36 93 0.2× 28 0.1× 3.2k 7.2× 20 0.1× 161 0.5× 92 4.1k
Julien Prados Switzerland 20 13 0.0× 156 0.3× 1.5k 3.3× 112 0.3× 158 0.5× 40 2.5k
James R. Giles United States 21 41 0.1× 22 0.0× 284 0.6× 350 1.0× 29 0.1× 43 1.1k
Erel Levine United States 20 50 0.1× 82 0.2× 1.5k 3.4× 29 0.1× 41 0.1× 35 2.1k
Nathalie Pochet United States 23 16 0.0× 40 0.1× 1.6k 3.6× 189 0.6× 21 0.1× 52 2.9k
Duygu Ucar United States 25 35 0.1× 60 0.1× 1.9k 4.3× 16 0.0× 14 0.0× 55 3.1k
David Kulp United States 20 18 0.0× 26 0.1× 3.3k 7.6× 25 0.1× 125 0.4× 35 4.8k

Countries citing papers authored by Darrell Conklin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Darrell Conklin

This figure shows the co-authorship network connecting the top 25 collaborators of Darrell Conklin. A scholar is included among the top collaborators of Darrell Conklin 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 Darrell Conklin. Darrell Conklin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huret, Martin, et al.. (2021). Transcriptomic dataset for Sardina pilchardus: Assembly, annotation, and expression of nine tissues. SHILAP Revista de lepidopterología. 39. 107583–107583. 1 indexed citations
2.
Iñesta, José M., Darrell Conklin, & Rafael Ramírez. (2016). Machine learning and music generation. Journal of Mathematics and Music. 10(2). 87–91. 2 indexed citations
3.
Conklin, Darrell, Iratxe Montes, Aitor Albaina, & Andone Estonba. (2013). Improved conversion rates for SNP genotyping of nonmodel organisms.. 127–134. 1 indexed citations
4.
Montes, Iratxe, Darrell Conklin, Aitor Albaina, et al.. (2013). SNP Discovery in European Anchovy (Engraulis encrasicolus, L) by High-Throughput Transcriptome and Genome Sequencing. PLoS ONE. 8(8). e70051–e70051. 33 indexed citations
5.
Conklin, Darrell. (2013). Multiple Viewpoint Systems for Music Classification. Journal of New Music Research. 42(1). 19–26. 30 indexed citations
6.
Manderick, Bernard, et al.. (2012). STRING METHODS FOR FOLK TUNE GENRE CLASSIFICATION. International Symposium/Conference on Music Information Retrieval. 217–222. 18 indexed citations
7.
Malagoli, Davide, Alice Accorsi, Sandro Sacchi, et al.. (2012). Drosophila Helical factor is an inducible protein acting as an immune-regulated cytokine in S2 cells. Cytokine. 58(2). 280–286. 4 indexed citations
8.
Malagoli, Davide, Darrell Conklin, Sandro Sacchi, Mauro Mandrioli, & Enzo Ottaviani. (2007). A putative helical cytokine functioning in innate immune signalling in Drosophila melanogaster. Biochimica et Biophysica Acta (BBA) - General Subjects. 1770(6). 974–978. 21 indexed citations
9.
Miguel‐Aliaga, Irene, et al.. (2007). A novel family of single VWC‐domain proteins in invertebrates. FEBS Letters. 581(27). 5268–5274. 42 indexed citations
10.
Conklin, Darrell, Betty Haldeman, & Zhenyu Gao. (2005). Gene finding for the helical cytokines. Computer applications in the biosciences. 21(9). 1776–1781. 13 indexed citations
11.
Jonassen, Inge, Ingvar Eidhammer, Darrell Conklin, & William R. Taylor. (2002). Structure motif discovery and mining the PDB. Bioinformatics. 18(2). 362–367. 30 indexed citations
12.
Conklin, Darrell, Inge Jonassen, Rein Aasland, & William R. Taylor. (2002). Association of nucleotide patterns with gene function classes: application to human 3′ untranslated sequences. Bioinformatics. 18(1). 182–189. 27 indexed citations
13.
Conklin, Darrell, et al.. (2001). Representation and Discovery of Multiple Viewpoint Patterns. The Journal of the Abraham Lincoln Association. 2001. 50 indexed citations
14.
Jonassen, Inge, Ingvar Eidhammer, Darrell Conklin, & William R. Taylor. (2000). Structure Motif Discovery and Mining the PDB.. 175–182. 6 indexed citations
15.
Lok, Si, Daniel St Johnston, Darrell Conklin, et al.. (2000). Identification of INSL6, a New Member of the Insulin Family That Is Expressed in the Testis of the Human and Rat1. Biology of Reproduction. 62(6). 1593–1599. 99 indexed citations
16.
17.
Conklin, Darrell, Debra G. Gilbertson, Mark Maurer, et al.. (1999). Identification of a Mammalian Angiopoietin-Related Protein Expressed Specifically in Liver. Genomics. 62(3). 477–482. 139 indexed citations
18.
Conklin, Darrell, Catherine Lofton–Day, Betty Haldeman, et al.. (1999). Identification of INSL5, a New Member of the Insulin Superfamily. Genomics. 60(1). 50–56. 115 indexed citations
19.
Conklin, Darrell & Terry Farrah. (1998). Protein motif recognition in DNA sequences containing indel errors..
20.
Conklin, Darrell & John G. Cleary. (1988). MODELLING AND GENERATING MUSIC USING MULTIPLE VIEWPOINTS. PRISM (University of Calgary). 11 indexed citations

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.

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