Ingrid Måge
Impact in
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
Papers in
-
- Spectroscopy and Chemometric Analyses 24
-
- Meat and Animal Product Quality 19
- Co-authors
- Tormod Næs (12 shared papers)Alessandra Biancolillo (6 shared papers)Nils Kristian Afseth (12 shared papers)Ida Rud (5 shared papers)Vegard Herman Segtnan (4 shared papers)Abdo Hassoun (2 shared papers)Abderrahmane Aït‐Kaddour (2 shared papers)Rasmus Bro (3 shared papers)
In The Last Decade
Ingrid Måge
57 papers receiving 1.8k citations
Ingrid Måge's Hit Papers
Peers
Comparison fields: 5 of 149
- Analytical Chemistry 519
- Animal Science and Zoology 351
- Food Science 472
- Biophysics 132
- Computational Mathematics 10
Countries citing papers authored by Ingrid Måge
This map shows the geographic impact of Ingrid Måge'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 Ingrid Måge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingrid Måge more than expected).
Fields of papers citing papers by Ingrid Måge
This network shows the impact of papers produced by Ingrid Måge. 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 Ingrid Måge. The network helps show where Ingrid Måge may publish in the future.
Co-authors
The 25 scholars most cited alongside Ingrid Måge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies Hit paper breakdown → | 2022 | 283 |
| 2 | 2020 | 186 | |
| 3 | 2020 | 127 | |
| 4 | 2014 | 78 | |
| 5 | 2017 | 75 | |
| 6 | 2017 | 66 | |
| 7 | 2013 | 66 | |
| 8 | 2011 | 59 | |
| 9 | 2011 | 57 | |
| 10 | 2016 | 56 | |
| 11 | 2018 | 48 | |
| 12 | 2016 | 45 | |
| 13 | 2014 | 41 | |
| 14 | 2021 | 39 | |
| 15 | 2008 | 38 | |
| 16 | 2010 | 37 | |
| 17 | 2015 | 36 | |
| 18 | 2017 | 34 | |
| 19 | 2015 | 27 | |
| 20 | 2023 | 27 |
About Ingrid Måge
Ingrid Måge is a scholar working on Analytical Chemistry, Animal Science and Zoology, Food Science, Biotechnology and Molecular Biology, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (24 papers), Meat and Animal Product Quality (19 papers), Protein Hydrolysis and Bioactive Peptides (9 papers), Advanced Chemical Sensor Technologies (7 papers), Fault Detection and Control Systems (6 papers), Listeria monocytogenes in Food Safety (6 papers), Sensory Analysis and Statistical Methods (5 papers) and Gut microbiota and health (5 papers). The work is most often cited by research in Analytical Chemistry (519 citations), Animal Science and Zoology (351 citations), Food Science (472 citations), Biophysics (132 citations) and Computational Mathematics (10 citations). Ingrid Måge has collaborated with scholars based in Norway, Denmark and Spain. Frequent co-authors include Tormod Næs, Alessandra Biancolillo, Nils Kristian Afseth, Ida Rud, Vegard Herman Segtnan, Abdo Hassoun, Abderrahmane Aït‐Kaddour, Rasmus Bro, Sileshi Gizachew Wubshet and Jørgen Valeur. Their work appears in journals such as Journal of Chemometrics, Chemometrics and Intelligent Laboratory Systems, Meat Science, Food Control and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.
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.