Matti Pastell

3.4k total citations · 1 hit paper
94 papers, 2.5k citations indexed

About

Matti Pastell is a scholar working on Small Animals, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Matti Pastell has authored 94 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Small Animals, 54 papers in Animal Science and Zoology and 13 papers in Agronomy and Crop Science. Recurrent topics in Matti Pastell's work include Animal Behavior and Welfare Studies (58 papers), Effects of Environmental Stressors on Livestock (42 papers) and Meat and Animal Product Quality (14 papers). Matti Pastell is often cited by papers focused on Animal Behavior and Welfare Studies (58 papers), Effects of Environmental Stressors on Livestock (42 papers) and Meat and Animal Product Quality (14 papers). Matti Pastell collaborates with scholars based in Finland, France and Italy. Matti Pastell's co-authors include Laura Hänninen, Minna Kujala, I. Halachmi, J.M. Bewley, M. Guarino, Mari Hovinen, Satu Pyörälä, Suvi Taponen, Jutta Siivonen and Jukka Ahokas and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Matti Pastell

90 papers receiving 2.4k citations

Hit Papers

A Systematic Review on Commercially Available and Validat... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matti Pastell Finland 28 1.6k 1.4k 679 594 349 94 2.5k
Birte L. Nielsen Denmark 32 1.4k 0.9× 1.6k 1.2× 787 1.2× 651 1.1× 511 1.5× 100 3.0k
Janice M. Siegford United States 30 1.6k 1.0× 1.4k 1.0× 583 0.9× 335 0.6× 226 0.6× 95 2.4k
G. A. María Spain 31 1.3k 0.8× 2.1k 1.6× 762 1.1× 613 1.0× 339 1.0× 96 3.1k
J. Krieter Germany 31 1.9k 1.2× 1.6k 1.1× 945 1.4× 1.1k 1.8× 410 1.2× 217 3.6k
Antonio Velarde Spain 34 2.2k 1.3× 2.5k 1.8× 753 1.1× 349 0.6× 259 0.7× 124 3.7k
B. Engel Netherlands 40 1.6k 1.0× 2.0k 1.5× 1000 1.5× 867 1.5× 411 1.2× 130 4.5k
J.H.C. Costa United States 27 1.8k 1.1× 1.2k 0.9× 665 1.0× 672 1.1× 111 0.3× 91 2.3k
Mette S. Herskin Denmark 29 2.0k 1.2× 1.6k 1.2× 747 1.1× 620 1.0× 100 0.3× 132 2.6k
A.M. de Passillé Canada 34 2.4k 1.5× 1.8k 1.3× 946 1.4× 900 1.5× 124 0.4× 53 2.9k
E.A.M. Bokkers Netherlands 36 2.3k 1.4× 1.9k 1.4× 902 1.3× 739 1.2× 292 0.8× 170 4.1k

Countries citing papers authored by Matti Pastell

Since Specialization
Citations

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

Fields of papers citing papers by Matti Pastell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matti Pastell

This figure shows the co-authorship network connecting the top 25 collaborators of Matti Pastell. A scholar is included among the top collaborators of Matti Pastell 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 Matti Pastell. Matti Pastell 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.
Mäkinen, A., Hirofumi Ishihara, Nina Sipari, et al.. (2025). Photosynthetic Adjustments Maintain Lettuce Growth Under Dynamically Changing Lighting in Controlled Indoor Farming Setups. Physiologia Plantarum. 177(4). e70405–e70405. 1 indexed citations
2.
Bloch, Victor, Alexey Shapiguzov, Titta Kotilainen, & Matti Pastell. (2025). A method for phenotyping lettuce volume and structure from 3D images. Plant Methods. 21(1). 27–27. 3 indexed citations
3.
Björkman, Stefan, et al.. (2024). Pose estimation of sow and piglets during free farrowing using deep learning. Journal of Agriculture and Food Research. 16. 101067–101067. 5 indexed citations
4.
Faverín, Claudia, Verónica Ciganda, Omar Cristobal-Carballo, et al.. (2024). Relevance of farm-scale indicators and tools for farmers to assess sustainability of their mixed crop-ruminant livestock systems. The Science of The Total Environment. 950. 175218–175218. 1 indexed citations
5.
Bendoula, Ryad, Wouter Saeys, Maxime Ryckewaert, et al.. (2024). PROSAC as a selection tool for SO-PLS regression: A strategy for multi-block data fusion. Analytica Chimica Acta. 1319. 342965–342965. 1 indexed citations
6.
Arcidiacono, Claudia, et al.. (2023). Assessment of a UWB Real Time Location System for Dairy Cows’ Monitoring. Sensors. 23(10). 4873–4873. 8 indexed citations
7.
Stygar, Anna H., et al.. (2023). Measuring dairy cow welfare with real-time sensor-based data and farm records: a concept study. animal. 17(12). 101023–101023. 7 indexed citations
8.
Arcidiacono, Claudia, et al.. (2021). IoT device-based data acquisition system with on-board computation of variables for cow behaviour recognition. Computers and Electronics in Agriculture. 191. 106500–106500. 14 indexed citations
9.
Aernouts, Ben, Ines Adriaens, Wouter Saeys, et al.. (2020). Mid-infrared spectroscopic analysis of raw milk to predict the blood nonesterified fatty acid concentrations in dairy cows. Journal of Dairy Science. 103(7). 6422–6438. 17 indexed citations
10.
Benni, Stefano, et al.. (2019). A generalised additive model to characterise dairy cows’ responses to heat stress. animal. 14(2). 418–424. 21 indexed citations
11.
Pastell, Matti, et al.. (2018). Influence of postoperative pain and use of NSAID on heart rate variability of dairy cows. Journal of Dairy Research. 85(1). 27–29. 5 indexed citations
12.
Tiusanen, Mikko & Matti Pastell. (2016). Simple online algorithm for detecting cow's ECG beat-to-beat interval using a microcontroller. Työväentutkimus Vuosikirja. 3 indexed citations
13.
Korhonen, Tellervo, et al.. (2014). Perceptions and practices of Finnish dairy producers on disbudding pain in calves. Journal of Dairy Science. 98(2). 823–831. 15 indexed citations
14.
Törnqvist, Heini, Miiamaaria V. Kujala, Sanni Somppi, et al.. (2013). Visual event-related potentials of dogs: a non-invasive electroencephalography study. Animal Cognition. 16(6). 973–982. 34 indexed citations
15.
Pastell, Matti, et al.. (2011). Perceptions and practices of Finnish dairy producers regarding disbudding of calves. Tissue Antigens. 56(3). 232–9. 1 indexed citations
16.
Hemmann, Karin, Marja Raekallio, Laura Hänninen, et al.. (2011). Circadian variation in ghrelin and certain stress hormones in crib-biting horses. The Veterinary Journal. 193(1). 97–102. 38 indexed citations
17.
Chapinal, N., A.M. de Passillé, Matti Pastell, et al.. (2011). Measurement of acceleration while walking as an automated method for gait assessment in dairy cattle. Journal of Dairy Science. 94(6). 2895–2901. 75 indexed citations
18.
Poikalainen, V., Jaan Praks, E. Kokin, et al.. (2010). Elaboration of basic methods for automatic analysis of cows' gait.. Agronomy Research. 8. 216–225. 7 indexed citations
19.
Hänninen, Laura & Matti Pastell. (2009). CowLog: Open-source software for coding behaviors from digital video. Behavior Research Methods. 41(2). 472–476. 165 indexed citations
20.
Hautala, M., et al.. (2008). Upper and lower critical temperatures for cattle..

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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