Andreas Ipsen

1.7k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Andreas Ipsen is a scholar working on Spectroscopy, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Andreas Ipsen has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Spectroscopy, 5 papers in Molecular Biology and 1 paper in Computer Networks and Communications. Recurrent topics in Andreas Ipsen's work include Mass Spectrometry Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Analytical Chemistry and Chromatography (5 papers). Andreas Ipsen is often cited by papers focused on Mass Spectrometry Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Analytical Chemistry and Chromatography (5 papers). Andreas Ipsen collaborates with scholars based in United Kingdom and United States. Andreas Ipsen's co-authors include David Welch, Natalja Strelkowa, Tina Toni, Michael P. H. Stumpf, Timothy M. D. Ebbels, Elizabeth J. Want, John C. Lindon, Yehia Ibrahim, Sandilya Garimella and Richard Smith and has published in prestigious journals such as Analytical Chemistry, The Analyst and Journal of The Royal Society Interface.

In The Last Decade

Andreas Ipsen

9 papers receiving 1000 citations

Hit Papers

Approximate Bayesian computation scheme for parameter inf... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Ipsen United Kingdom 7 341 243 243 124 116 9 1.0k
Tina Toni United Kingdom 14 757 2.2× 360 1.5× 370 1.5× 162 1.3× 319 2.8× 15 1.7k
Natalja Strelkowa Germany 6 358 1.0× 249 1.0× 243 1.0× 134 1.1× 196 1.7× 12 1.1k
Pedro Puig Spain 23 136 0.4× 170 0.7× 393 1.6× 42 0.3× 85 0.7× 86 1.3k
Christopher Drovandi Australia 20 164 0.5× 539 2.2× 600 2.5× 85 0.7× 43 0.4× 133 1.8k
Ryan Hafen United States 15 283 0.8× 151 0.6× 40 0.2× 20 0.2× 34 0.3× 28 1.0k
Alberto Giovanni Busetto Switzerland 10 223 0.7× 128 0.5× 84 0.3× 48 0.4× 105 0.9× 26 697
Dennis Prangle United Kingdom 10 84 0.2× 420 1.7× 453 1.9× 48 0.4× 84 0.7× 17 795
Yves F. Atchadé United States 15 68 0.2× 391 1.6× 461 1.9× 61 0.5× 23 0.2× 42 1.0k
Scott C. Schmidler United States 17 342 1.0× 112 0.5× 122 0.5× 11 0.1× 97 0.8× 33 727
Zhidong Teng China 31 171 0.5× 219 0.9× 43 0.2× 984 7.9× 789 6.8× 186 3.2k

Countries citing papers authored by Andreas Ipsen

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Ipsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Ipsen

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

All Works

9 of 9 papers shown
2.
Ipsen, Andreas. (2015). Derivation from First Principles of the Statistical Distribution of the Mass Peak Intensities of MS Data. Analytical Chemistry. 87(3). 1726–1734. 9 indexed citations
3.
Garimella, Sandilya, Yehia Ibrahim, Ian Webb, et al.. (2015). Ion manipulations in structures for lossless ion manipulations (SLIM): computational evaluation of a 90° turn and a switch. The Analyst. 140(20). 6845–6852. 44 indexed citations
4.
Ipsen, Andreas & Timothy M. D. Ebbels. (2014). Orders of Magnitude Extension of the Effective Dynamic Range of TDC-Based TOFMS Data Through Maximum Likelihood Estimation. Journal of the American Society for Mass Spectrometry. 25(10). 1824–1827. 5 indexed citations
5.
Ipsen, Andreas. (2014). Efficient Calculation of Exact Fine Structure Isotope Patterns via the Multidimensional Fourier Transform. Analytical Chemistry. 86(11). 5316–5322. 21 indexed citations
6.
Ipsen, Andreas & Timothy M. D. Ebbels. (2012). Prospects for a Statistical Theory of LC/TOFMS Data. Journal of the American Society for Mass Spectrometry. 23(5). 779–791. 6 indexed citations
7.
Ipsen, Andreas, Elizabeth J. Want, & Timothy M. D. Ebbels. (2010). Construction of Confidence Regions for Isotopic Abundance Patterns in LC/MS Data Sets for Rigorous Determination of Molecular Formulas. Analytical Chemistry. 82(17). 7319–7328. 10 indexed citations
8.
Ipsen, Andreas, Elizabeth J. Want, John C. Lindon, & Timothy M. D. Ebbels. (2010). A Statistically Rigorous Test for the Identification of Parent−Fragment Pairs in LC-MS Datasets. Analytical Chemistry. 82(5). 1766–1778. 23 indexed citations
9.
Toni, Tina, David Welch, Natalja Strelkowa, Andreas Ipsen, & Michael P. H. Stumpf. (2008). Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems. Journal of The Royal Society Interface. 6(31). 187–202. 900 indexed citations breakdown →

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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