Mark van der Loo
- Spectroscopy top 10%
- Spectroscopy and Laser Applications 6
- Atmospheric Science top 10%
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- Advanced Chemical Physics Studies 5
- Spectroscopy and Quantum Chemical Studies 2
- Atomic and Molecular Physics 2
- Statistics and Probability top 10%
- Statistics Education and Methodologies 3
- Astronomy and Astrophysics top 10%
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- Data Analysis with R 5
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- Scientific Research and Discoveries 1
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- Software Reliability and Analysis Research 1
- Co-authors
- Gerrit C. GroenenboomNicolas VanhaeckeGerard MeijerDavid H. ParkerAndré J. A. van RoijShiou-Min WuJ. J. ter MeulenJeroen Pannekoek
- Journals
- The Journal of Chemical Physics (4 papers)Faraday Discussions (1 paper)The Astrophysical Journal (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Mark van der Loo
15 papers receiving 836 citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Spectroscopy 109
- Atmospheric Science 109
- Atomic and Molecular Physics, and Optics 153
- Statistics and Probability 36
- Astronomy and Astrophysics 58
Countries citing papers authored by Mark van der Loo
This map shows the geographic impact of Mark van der Loo'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 Mark van der Loo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark van der Loo more than expected).
Fields of papers citing papers by Mark van der Loo
This network shows the impact of papers produced by Mark van der Loo. 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 Mark van der Loo. The network helps show where Mark van der Loo may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Mark van der Loo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2021 | 0 | |
| 3 | 2021 | 0 | |
| 4 | Trends and Indices for Monitoring Data [R package rtrim version 2.1.1] | 2020 | 5 |
| 5 | 2018 | 12 | |
| 6 | Wiley StatsRef: Statistics Reference Onlinebreakdown → | 2014 | 579 |
| 7 | 2013 | 5 | |
| 8 | Learning RStudio for R statistical computing : learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE | 2012 | 1 |
| 9 | Learning RStudio for R Statistical Computing | 2012 | 10 |
| 10 | 2009 | 3 | |
| 11 | 2008 | 12 | |
| 12 | 2007 | 86 | |
| 13 | 2007 | 13 | |
| 14 | 2006 | 2 | |
| 15 | 2006 | 2 | |
| 16 | 2005 | 87 | |
| 17 | 2005 | 18 | |
| 18 | 2003 | 15 |
About Mark van der Loo
Mark van der Loo is a scholar working on Statistics and Probability, Spectroscopy and Software, having authored 18 papers that have together received 850 indexed citations. Recurring topics across this work include Spectroscopy and Laser Applications (6 papers), Data Analysis with R (5 papers), Advanced Chemical Physics Studies (5 papers), Statistics Education and Methodologies (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Atomic and Molecular Physics (2 papers), Scientific Research and Discoveries (1 paper) and Software Reliability and Analysis Research (1 paper). The work is most often cited by research in Spectroscopy (109 citations), Atmospheric Science (109 citations) and Atomic and Molecular Physics, and Optics (153 citations). Mark van der Loo has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Gerrit C. Groenenboom, Nicolas Vanhaecke, Gerard Meijer, David H. Parker, André J. A. van Roij, Shiou-Min Wu, J. J. ter Meulen, Jeroen Pannekoek, Liesbeth M. C. Janssen and Marsha I. Lester. Their work appears in journals such as The Journal of Chemical Physics, Faraday Discussions, The Astrophysical Journal, Molecular Physics and Journal of Statistical Software.
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.