Rasmus Bro

37.0k total citations · 14 hit papers
250 papers, 28.5k citations indexed

About

Rasmus Bro is a scholar working on Analytical Chemistry, Molecular Biology and Spectroscopy. According to data from OpenAlex, Rasmus Bro has authored 250 papers receiving a total of 28.5k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Analytical Chemistry, 57 papers in Molecular Biology and 37 papers in Spectroscopy. Recurrent topics in Rasmus Bro's work include Spectroscopy and Chemometric Analyses (141 papers), Metabolomics and Mass Spectrometry Studies (43 papers) and Blind Source Separation Techniques (35 papers). Rasmus Bro is often cited by papers focused on Spectroscopy and Chemometric Analyses (141 papers), Metabolomics and Mass Spectrometry Studies (43 papers) and Blind Source Separation Techniques (35 papers). Rasmus Bro collaborates with scholars based in Denmark, United Kingdom and United States. Rasmus Bro's co-authors include Colin A. Stedmon, Age K. Smilde, Henk A. L. Kiers, Claus A. Andersson, Nicholas D. Sidiropoulos, Kathleen R. Murphy, Charlotte M. Andersen, Stiig Markager, Daniel Graeber and Sijmen de Jong and has published in prestigious journals such as Chemical Reviews, Chemical Society Reviews and Environmental Science & Technology.

In The Last Decade

Rasmus Bro

244 papers receiving 27.7k citations

Hit Papers

Characterizing dissolved ... 1996 2026 2006 2016 2008 1997 2014 2003 2013 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rasmus Bro 9.5k 4.8k 4.1k 3.7k 3.6k 250 28.5k
Paul Geladi 10.0k 1.0× 166 0.0× 2.0k 0.5× 3.2k 0.9× 4.4k 1.2× 215 24.0k
Svante Wold 14.4k 1.5× 295 0.1× 2.7k 0.7× 9.6k 2.6× 5.7k 1.6× 358 41.3k
Age K. Smilde 6.5k 0.7× 107 0.0× 1.0k 0.3× 8.3k 2.2× 3.1k 0.9× 313 20.7k
Romá Tauler 12.0k 1.3× 180 0.0× 3.0k 0.7× 4.7k 1.3× 4.4k 1.2× 446 22.1k
Bruce R. Kowalski 11.2k 1.2× 87 0.0× 2.8k 0.7× 2.1k 0.6× 4.3k 1.2× 191 18.9k
Joos Vandewalle 1.9k 0.2× 275 0.1× 357 0.1× 1.1k 0.3× 2.3k 0.6× 560 31.0k
Jianbo Shi 1.5k 0.2× 207 0.0× 401 0.1× 1.5k 0.4× 1.9k 0.5× 310 28.6k
Johan A. K. Suykens 2.1k 0.2× 129 0.0× 412 0.1× 1.6k 0.4× 2.1k 0.6× 543 30.7k
Bart De Moor 1.2k 0.1× 140 0.0× 226 0.1× 4.1k 1.1× 1.4k 0.4× 641 30.8k
Donald W. Marquardt 881 0.1× 573 0.1× 353 0.1× 2.7k 0.7× 3.3k 0.9× 37 30.0k

Countries citing papers authored by Rasmus Bro

Since Specialization
Citations

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

Fields of papers citing papers by Rasmus Bro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rasmus Bro

This figure shows the co-authorship network connecting the top 25 collaborators of Rasmus Bro. A scholar is included among the top collaborators of Rasmus Bro 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 Rasmus Bro. Rasmus Bro 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.
Quintanilla‐Casas, Beatriz, et al.. (2025). Automated correction of saturated peaks in untargeted GC-MS: a chemometric approach. Chemometrics and Intelligent Laboratory Systems. 269. 105582–105582.
2.
Bro, Rasmus, et al.. (2024). Chemometric approaches for polysaccharide viscosity profiling. Carbohydrate Polymers. 348(Pt A). 122824–122824.
3.
Quintanilla‐Casas, Beatriz, et al.. (2024). Volatile organic compound profile for the search of rejection markers in protein baits used as Vespa velutina control method. Microchemical Journal. 207. 111685–111685. 1 indexed citations
4.
Camacho, José, Katarzyna Wasielewska, Rasmus Bro, & David Kotz. (2024). Interpretable Feature Learning in Multivariate Big Data Analysis for Network Monitoring. IEEE Transactions on Network and Service Management. 21(3). 2926–2943. 2 indexed citations
5.
Andersen, Michael Riis, et al.. (2024). NMR-Onion - a transparent multi-model based 1D NMR deconvolution algorithm. Heliyon. 10(17). e36998–e36998. 1 indexed citations
6.
Marini, Federico, et al.. (2024). Chemometric insights into milk-carrageenan breaking and gel strength. Food Hydrocolloids. 158. 110544–110544. 2 indexed citations
7.
Bro, Rasmus, et al.. (2023). Shift‐invariant tri‐linearity—A new model for resolving untargeted gas chromatography coupled mass spectrometry data. Journal of Chemometrics. 37(8). 9 indexed citations
8.
9.
Calhoun, Vince D., et al.. (2022). An AO-ADMM Approach to Constraining PARAFAC2 on All Modes. SIAM Journal on Mathematics of Data Science. 4(3). 1191–1222. 15 indexed citations
10.
Yu, Huiwen, et al.. (2021). Accelerating PARAFAC2 algorithms for non-negative complex tensor decomposition. Chemometrics and Intelligent Laboratory Systems. 214. 104312–104312. 12 indexed citations
11.
Rasmussen, Morten Arendt, et al.. (2021). Who is winning? A comparison of humans versus computers for calibration model building. Journal of Chemometrics. 35(12). 2 indexed citations
12.
Camacho, José, Rasmus Bro, & David Kotz. (2020). Automatic Learning coupled with Interpretability: MBDA in Action. 1 indexed citations
13.
Petersen, Mikael Agerlin, et al.. (2017). An expert system for automated flavour matching – Prioritizer. Flavour and Fragrance Journal. 32(4). 286–293. 1 indexed citations
14.
Murphy, Kathleen R., Rasmus Bro, & Colin A. Stedmon. (2014). Chapter 10. Chemometric analysis of organic matter fluorescence. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations
15.
Bro, Rasmus & Age K. Smilde. (2014). Principal component analysis. Analytical Methods. 6(9). 2812–2831. 2156 indexed citations breakdown →
16.
Andersen, Charlotte M. & Rasmus Bro. (2010). Variable selection in regression—a tutorial. Journal of Chemometrics. 24(11-12). 728–737. 586 indexed citations breakdown →
17.
Stedmon, Colin A. & Rasmus Bro. (2008). Characterizing dissolved organic matter fluorescence with parallel factor analysis: a tutorial. Limnology and Oceanography Methods. 6(11). 572–579. 2342 indexed citations breakdown →
18.
Rinnan, Åsmund, Jordi Riu, & Rasmus Bro. (2007). Multi‐way prediction in the presence of uncalibrated interferents. Journal of Chemometrics. 21(1-2). 76–86. 44 indexed citations
19.
Bro, Rasmus. (1997). PARAFAC. Tutorial and applications. Chemometrics and Intelligent Laboratory Systems. 38(2). 149–171. 2178 indexed citations breakdown →
20.
Workman, Jerome, et al.. (1996). Review of Chemometrics Applied to Spectroscopy: 1985-95, Part I. Applied Spectroscopy Reviews. 31(1-2). 73–124. 84 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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