Ketil Malde

2.5k total citations
47 papers, 993 citations indexed

About

Ketil Malde is a scholar working on Molecular Biology, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Ketil Malde has authored 47 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 18 papers in Ecology and 12 papers in Nature and Landscape Conservation. Recurrent topics in Ketil Malde's work include Genomics and Phylogenetic Studies (12 papers), Fish Ecology and Management Studies (10 papers) and Marine and fisheries research (10 papers). Ketil Malde is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), Fish Ecology and Management Studies (10 papers) and Marine and fisheries research (10 papers). Ketil Malde collaborates with scholars based in Norway, Germany and Poland. Ketil Malde's co-authors include Nils Olav Handegard, Inge Jonassen, Vaneeda Allken, Arnt-Børre Salberg, Line Eikvil, Shale Rosen, Anders Lanzén, Animesh Sharma, Eivind Coward and Ingvild Eide Graff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Ketil Malde

47 papers receiving 966 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ketil Malde Norway	17	419	298	203	167	163	47	993
D. M. Webber United States	15	216 0.5×	371 1.2×	254 1.3×	84 0.5×	22 0.1×	22	798
Te‐Hua Hsu Taiwan	13	132 0.3×	99 0.3×	94 0.5×	52 0.3×	65 0.4×	47	418
Yishuai Du China	18	164 0.4×	113 0.4×	61 0.3×	107 0.6×	134 0.8×	50	1.0k
James Seager Australia	12	287 0.7×	182 0.6×	182 0.9×	85 0.5×	321 2.0×	28	945
Jian Luo China	18	253 0.6×	136 0.5×	66 0.3×	39 0.2×	80 0.5×	83	948
Seumas P. Walker New Zealand	18	219 0.5×	256 0.9×	227 1.1×	114 0.7×	20 0.1×	60	911
Qingyin Wang China	19	165 0.4×	473 1.6×	62 0.3×	235 1.4×	40 0.2×	73	1.6k
Nikos Papandroulakis Greece	30	239 0.6×	646 2.2×	500 2.5×	321 1.9×	216 1.3×	109	2.4k
Tim L. King United States	25	302 0.7×	777 2.6×	875 4.3×	285 1.7×	23 0.1×	81	1.8k

Countries citing papers authored by Ketil Malde

Since Specialization

Citations

This map shows the geographic impact of Ketil Malde'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 Ketil Malde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ketil Malde more than expected).

Fields of papers citing papers by Ketil Malde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ketil Malde. 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 Ketil Malde. The network helps show where Ketil Malde may publish in the future.

Co-authorship network of co-authors of Ketil Malde

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

All Works

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20 of 20 papers shown

Malde, Ketil, et al.. (2024). Self-supervised feature learning for acoustic data analysis. Ecological Informatics. 84. 102878–102878. 3 indexed citations

Sørdalen, Tonje Knutsen, et al.. (2023). A contrastive learning approach for individual re-identification in a wild fish population. 4. 3 indexed citations

Bojesen, Troels Arnfred, et al.. (2023). Annotating otoliths with a deep generative model. ICES Journal of Marine Science. 81(1). 55–65. 5 indexed citations

Wyngaard, Grace A., et al.. (2022). The salmon louse genome may be much larger than sequencing suggests. Scientific Reports. 12(1). 6616–6616. 3 indexed citations

Jansson, Eeva, François Besnier, Ketil Malde, et al.. (2020). Genome wide analysis reveals genetic divergence between Goldsinny wrasse populations. BMC Genetics. 21(1). 118–118. 6 indexed citations

Fields, David M., Nils Olav Handegard, John Dalen, et al.. (2019). Airgun blasts used in marine seismic surveys have limited effects on mortality, and no sublethal effects on behaviour or gene expression, in the copepod Calanus finmarchicus. ICES Journal of Marine Science. 76(7). 2033–2044. 19 indexed citations

Boitsov, Stepan, et al.. (2019). Levels and temporal trends of persistent organic pollutants (POPs) in Atlantic cod (Gadus morhua) and haddock (Melanogrammus aeglefinus) from the southern Barents Sea. Environmental Research. 172. 89–97. 8 indexed citations

Handegard, Nils Olav, et al.. (2018). Automatic interpretation of otoliths using deep learning. PLoS ONE. 13(12). e0204713–e0204713. 37 indexed citations

Eichner, Christiane, Sussie Dalvin, Rasmus Skern‐Mauritzen, et al.. (2015). Characterization of a novel RXR receptor in the salmon louse (Lepeophtheirus salmonis, Copepoda) regulating growth and female reproduction. BMC Genomics. 16(1). 81–81. 19 indexed citations

10.

Edvardsen, Rolf B., Sussie Dalvin, Tomasz Furmanek, et al.. (2014). Gene expression in five salmon louse (Lepeophtheirus salmonis, Krøyer 1837) tissues. Marine Genomics. 18. 39–44. 10 indexed citations

11.

Besnier, François, Matthew Kent, Rasmus Skern‐Mauritzen, et al.. (2014). Human-induced evolution caught in action: SNP-array reveals rapid amphi-atlantic spread of pesticide resistance in the salmon ecotoparasite Lepeophtheirus salmonis. BMC Genomics. 15(1). 937–937. 66 indexed citations

12.

Malde, Ketil. (2014). Simulating a population genomics data set using FlowSim. BMC Research Notes. 7(1). 68–68. 2 indexed citations

13.

Malde, Ketil & Tomasz Furmanek. (2013). Increasing Sequence Search Sensitivity with Transitive Alignments. PLoS ONE. 8(2). e54422–e54422. 3 indexed citations

14.

Kleppe, Lene, Rolf B. Edvardsen, Heiner Kuhl, et al.. (2012). Maternal 3’UTRs: from egg to onset of zygotic transcription in Atlantic cod. BMC Genomics. 13(1). 443–443. 19 indexed citations

15.

Grotmol, Sindre, Harald Kryvi, Geir K. Totland, et al.. (2011). Identification of vimentin- and elastin-like transcripts specifically expressed in developing notochord of Atlantic salmon (Salmo salar L.). Cell and Tissue Research. 346(2). 191–202. 7 indexed citations

16.

Edvardsen, Rolf B., et al.. (2010). EST resources and establishment and validation of a 16k cDNA microarray from Atlantic cod (Gadus morhua). Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 6(1). 23–30. 9 indexed citations

17.

Kjellevold, Marian, Susanne Bügel, Mette Kristensen, et al.. (2010). Calcium from salmon and cod bone is well absorbed in young healthy men: a double-blinded randomised crossover design. Nutrition & Metabolism. 7(1). 61–61. 79 indexed citations

18.

Patel, Sonal, Ketil Malde, Anders Lanzén, Rolf Erik Olsen, & Audun Helge Nerland. (2009). Identification of immune related genes in Atlantic halibut (Hippoglossus hippoglossus L.) following in vivo antigenic and in vitro mitogenic stimulation. Fish & Shellfish Immunology. 27(6). 729–738. 14 indexed citations

19.

Malde, Ketil & Inge Jonassen. (2008). Repeats and EST analysis for new organisms. BMC Genomics. 9(1). 23–23. 9 indexed citations

20.

Malde, Ketil, Eivind Coward, & Inge Jonassen. (2004). A graph based algorithm for generating EST consensus sequences. Computer applications in the biosciences. 21(8). 1371–1375. 12 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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