Tomas Isaksson

6.1k total citations · 2 hit papers
100 papers, 4.1k citations indexed

About

Tomas Isaksson is a scholar working on Analytical Chemistry, Animal Science and Zoology and Biophysics. According to data from OpenAlex, Tomas Isaksson has authored 100 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Analytical Chemistry, 38 papers in Animal Science and Zoology and 36 papers in Biophysics. Recurrent topics in Tomas Isaksson's work include Spectroscopy and Chemometric Analyses (74 papers), Meat and Animal Product Quality (38 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (36 papers). Tomas Isaksson is often cited by papers focused on Spectroscopy and Chemometric Analyses (74 papers), Meat and Animal Product Quality (38 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (36 papers). Tomas Isaksson collaborates with scholars based in Norway, United States and Belgium. Tomas Isaksson's co-authors include Tormod Næs, Bruce R. Kowalski, Vegard H. Segtnan, Kjell Ivar Hildrum, Tony Davies, Tom Fearn, Inge S. Helland, Yukihiro Ozaki, Slobodan Šašić and Elling‐Olav Rukke and has published in prestigious journals such as Analytical Chemistry, Technometrics and Trends in Food Science & Technology.

In The Last Decade

Tomas Isaksson

100 papers receiving 3.8k citations

Hit Papers

The Effect of Multiplicative Scatter Correction (MSC) and... 1988 2026 2000 2013 1988 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomas Isaksson Norway 33 2.8k 1.2k 1.1k 953 672 100 4.1k
S.J. Lister United Kingdom 18 2.8k 1.0× 1.2k 1.0× 744 0.7× 950 1.0× 478 0.7× 32 4.5k
M.S. Dhanoa United Kingdom 15 2.8k 1.0× 1.2k 1.0× 668 0.6× 736 0.8× 477 0.7× 32 4.2k
Pierre Dardenne Belgium 34 2.3k 0.8× 935 0.8× 502 0.5× 718 0.8× 391 0.6× 101 3.5k
Lars Nørgaard Denmark 29 2.4k 0.9× 855 0.7× 466 0.4× 933 1.0× 680 1.0× 67 3.9k
Ana Garrido‐Varo Spain 32 2.4k 0.8× 807 0.7× 812 0.7× 863 0.9× 453 0.7× 120 3.0k
José Manuel Amigo Denmark 42 3.1k 1.1× 1.2k 1.0× 559 0.5× 1.3k 1.4× 537 0.8× 170 5.4k
Åsmund Rinnan Denmark 31 2.6k 0.9× 996 0.8× 606 0.6× 883 0.9× 540 0.8× 99 5.0k
Dolores Pérez‐Marín Spain 34 2.5k 0.9× 783 0.6× 747 0.7× 993 1.0× 491 0.7× 172 3.4k
Jens Petter Wold Norway 36 2.0k 0.7× 818 0.7× 1.6k 1.5× 1.1k 1.1× 245 0.4× 126 3.5k
Vincent Baeten Belgium 39 2.8k 1.0× 1.0k 0.8× 938 0.9× 1.1k 1.2× 333 0.5× 177 4.9k

Countries citing papers authored by Tomas Isaksson

Since Specialization
Citations

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

Fields of papers citing papers by Tomas Isaksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomas Isaksson

This figure shows the co-authorship network connecting the top 25 collaborators of Tomas Isaksson. A scholar is included among the top collaborators of Tomas Isaksson 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 Tomas Isaksson. Tomas Isaksson 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.
Sørheim, Oddvin, et al.. (2013). Determination of the myoglobin states in ground beef using non-invasive reflectance spectrometry and multivariate regression analysis. Meat Science. 95(3). 451–457. 10 indexed citations
2.
Steyaert, Sam M. J. G., Marcus Elfström, Andreas Zedrosser, et al.. (2012). Faecal spectroscopy: a practical tool to assess diet quality in an opportunistic omnivore. Wildlife Biology. 18(4). 431–438. 19 indexed citations
3.
Isaksson, Tomas, et al.. (2012). New procedure for improving precision and accuracy of instrumental color measurements of beef. Meat Science. 91(3). 223–231. 11 indexed citations
4.
Rukke, Elling‐Olav, Espen Olsen, Tove Gulbrandsen Devold, Gerd E. Vegarud, & Tomas Isaksson. (2010). Technical note: Comparing calibration methods for determination of protein in goat milk by ultraviolet spectroscopy. Journal of Dairy Science. 93(7). 2922–2925. 6 indexed citations
5.
Olsen, Elisabeth, et al.. (2009). Long-term stability of a Raman instrument determining iodine value in pork adipose tissue. Meat Science. 85(1). 1–6. 17 indexed citations
6.
Martens, Harald, Achim Köhler, Nils Kristian Afseth, et al.. (2007). High-throughput measurements for functionalgenomics of milk. Journal of Animal and Feed Sciences. 16(Suppl. 1). 172–189. 4 indexed citations
8.
Köhler, Achim, et al.. (2004). Determination of C22:5 and C22:6 marine fatty acids in pork fat with Fourier transform mid-infrared spectroscopy. Meat Science. 69(3). 433–440. 26 indexed citations
9.
Solberg, Christel, et al.. (2003). Determination of fat in live farmed Atlantic salmon using non‐invasive NIR techniques. Journal of the Science of Food and Agriculture. 83(7). 692–696. 27 indexed citations
10.
Segtnan, Vegard H., Knut Kvaal, Elling‐Olav Rukke, R. B. Schüller, & Tomas Isaksson. (2003). Rapid assessment of physico-chemical properties of gelatine using near infrared spectroscopy. Food Hydrocolloids. 17(5). 585–592. 22 indexed citations
11.
Isaksson, Tomas, et al.. (2001). In-Line Determination of Moisture in Margarine, Using near Infrared Diffuse Transmittance. Journal of Near Infrared Spectroscopy. 9(1). 11–18. 2 indexed citations
12.
Isaksson, Tomas, et al.. (1999). Increase in bombesin-like peptides in the spinal cord after dexamethasone treatment of adrenalectomized rats. Neuroscience Letters. 275(3). 179–182. 2 indexed citations
13.
Isaksson, Tomas, et al.. (1999). On-line NIR analysis of fat, water and protein in industrial scale ground meat batches. Meat Science. 51(1). 97–102. 101 indexed citations
14.
Baardseth, Pernille, et al.. (1996). Multivariate techniques in the analysis of meat quality. Meat Science. 43. 135–149. 55 indexed citations
15.
Isaksson, Tomas, et al.. (1996). On-line, proximate analysis of ground beef directly at a meat grinder outlet. Meat Science. 43(3-4). 245–253. 41 indexed citations
16.
Helland, Inge S., Tormod Næs, & Tomas Isaksson. (1995). Related versions of the multiplicative scatter correction method for preprocessing spectroscopic data. Chemometrics and Intelligent Laboratory Systems. 29(2). 233–241. 232 indexed citations
17.
Isaksson, Tomas & Bruce R. Kowalski. (1993). Piece-Wise Multiplicative Scatter Correction Applied to Near-Infrared Diffuse Transmittance Data from Meat Products. Applied Spectroscopy. 47(6). 702–709. 91 indexed citations
18.
Dean, Thomas & Tomas Isaksson. (1993). Standardisation: What is it and How is it Done? Part 1. NIR news. 4(2). 8–9. 12 indexed citations
19.
Næs, Tormod & Tomas Isaksson. (1991). Splitting of calibration data by cluster analysis. Journal of Chemometrics. 5(1). 49–65. 31 indexed citations
20.
Næs, Tormod & Tomas Isaksson. (1989). Selection of Samples for Calibration in Near-Infrared Spectroscopy. Part I: General Principles Illustrated by Example. Applied Spectroscopy. 43(2). 328–335. 49 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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