Sami Äyrämö

1.2k total citations · 1 hit paper
48 papers, 752 citations indexed

About

Sami Äyrämö is a scholar working on Orthopedics and Sports Medicine, Artificial Intelligence and Surgery. According to data from OpenAlex, Sami Äyrämö has authored 48 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Orthopedics and Sports Medicine, 14 papers in Artificial Intelligence and 9 papers in Surgery. Recurrent topics in Sami Äyrämö's work include Sports Performance and Training (12 papers), Sports injuries and prevention (12 papers) and Knee injuries and reconstruction techniques (6 papers). Sami Äyrämö is often cited by papers focused on Sports Performance and Training (12 papers), Sports injuries and prevention (12 papers) and Knee injuries and reconstruction techniques (6 papers). Sami Äyrämö collaborates with scholars based in Finland, Norway and Canada. Sami Äyrämö's co-authors include Kati Pasanen, Tommi Vasankari, Jari Parkkari, Mari Leppänen, Pekka Kannus, Tron Krosshaug, Tommi Kärkkäinen, Roald Bahr, Janne Avela and Urho M. Kujala and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sami Äyrämö

45 papers receiving 725 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Stiff Landings Are Associated With Increased ACL Injury Risk in Young Female Basketball and Floorball Players

2016 265 citations Mari Leppänen, Kati Pasanen et al. The American Journal of Sports Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sami Äyrämö Finland	14	407	306	192	107	55	48	752
Federico Pozzi United States	19	240 0.6×	441 1.4×	279 1.5×	201 1.9×	42 0.8×	44	1.1k
David B. Levine United States	20	108 0.3×	670 2.2×	68 0.4×	35 0.3×	32 0.6×	83	1.3k
R. Summers United Kingdom	11	172 0.4×	207 0.7×	195 1.0×	35 0.3×	89 1.6×	58	606
Susanne Jauhiainen Finland	7	95 0.2×	32 0.1×	52 0.3×	133 1.2×	33 0.6×	9	491
Gabriella Balestra Italy	14	36 0.1×	61 0.2×	456 2.4×	105 1.0×	26 0.5×	104	927
Songül Albayrak Türkiye	13	15 0.0×	88 0.3×	105 0.5×	122 1.1×	34 0.6×	81	513
Bart Bakker Netherlands	8	199 0.5×	26 0.1×	72 0.4×	141 1.3×	12 0.2×	15	465
Jonathan J. Streit United States	19	68 0.2×	808 2.6×	42 0.2×	26 0.2×	71 1.3×	51	1.0k
J. Matthew Helm United States	5	15 0.0×	162 0.5×	65 0.3×	82 0.8×	36 0.7×	12	547
Xiao-Yun Zhou China	12	47 0.1×	109 0.4×	164 0.9×	104 1.0×	28 0.5×	34	473

Countries citing papers authored by Sami Äyrämö

Since Specialization

Citations

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

Fields of papers citing papers by Sami Äyrämö

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sami Äyrämö

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Patron, A. S., et al.. (2025). Cluster analysis of cutting technique—a valuable approach for assessing anterior cruciate ligament injury risk?. Frontiers in Sports and Active Living. 7. 1463272–1463272. 1 indexed citations

Candau, Robin, et al.. (2024). Quantification of workload and characterisation of key performance factors in elite adolescent female volleyball players using machine learning. International Journal of Performance Analysis in Sport. 25(4). 610–626.

Bonsdorff, Mikaela B. von, et al.. (2024). Classification of dementia from spoken speech using feature selection and the bag of acoustic words model. Jyväskylä University Digital Archive (University of Jyväskylä). 4(1). 45–65.

Väyrynen, Juha P., et al.. (2023). Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer. PLoS ONE. 18(5). e0286270–e0286270. 3 indexed citations

Taipalus, Toni, et al.. (2022). Data Analytics in Healthcare: A Tertiary Study. SN Computer Science. 4(1). 87–87. 7 indexed citations

Äyrämö, Sami, et al.. (2022). Cross-cultural adaptation and validation of the Kerlan-Jobe Orthopaedic Clinic shoulder and elbow score in Finnish-speaking overhead athletes. BMC Sports Science Medicine and Rehabilitation. 14(1). 190–190. 3 indexed citations

Jauhiainen, Susanne, et al.. (2022). Predicting ACL Injury Using Machine Learning on Data From an Extensive Screening Test Battery of 880 Female Elite Athletes. The American Journal of Sports Medicine. 50(11). 2917–2924. 33 indexed citations

Pasanen, Kati, Ari Heinonen, Sami Äyrämö, et al.. (2021). The standing knee lift test is not a useful screening tool for time loss from low back pain in youth basketball and floorball players. Physical Therapy in Sport. 49. 141–148. 2 indexed citations

Jauhiainen, Susanne, Tron Krosshaug, Erich J. Petushek, Jukka‐Pekka Kauppi, & Sami Äyrämö. (2021). Information Extraction from Binary Skill Assessment Data with Machine Learning. Jyväskylä University Digital Archive (University of Jyväskylä). 3(1). 20–20. 3 indexed citations

10.

Äyrämö, Sami, et al.. (2021). Toolbox for Distance Estimation and Cluster Validation on Data With Missing Values. IEEE Access. 10. 352–367. 5 indexed citations

11.

Jauhiainen, Susanne, Jukka‐Pekka Kauppi, Mari Leppänen, et al.. (2020). New Machine Learning Approach for Detection of Injury Risk Factors in Young Team Sport Athletes. International Journal of Sports Medicine. 42(2). 175–182. 55 indexed citations

12.

Äyrämö, Sami, et al.. (2020). Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion. Applied Sciences. 10(20). 7097–7097. 7 indexed citations

13.

Jauhiainen, Susanne, et al.. (2019). Talent identification in soccer using a one-class support vector machine. SHILAP Revista de lepidopterología. 18(3). 125–136. 11 indexed citations

14.

Äyrämö, Sami, et al.. (2018). Comparison of cluster validation indices with missing data. Jyväskylä University Digital Archive (University of Jyväskylä). 1 indexed citations

15.

Saarela, Mirka, Olli‐Pekka Ryynänen, & Sami Äyrämö. (2018). Predicting hospital associated disability from imbalanced data using supervised learning. Artificial Intelligence in Medicine. 95. 88–95. 23 indexed citations

16.

Vesterinen, Ville, Ari Nummela, Sami Äyrämö, et al.. (2015). Monitoring Training Adaptation With a Submaximal Running Test Under Field Conditions. International Journal of Sports Physiology and Performance. 11(3). 393–399. 16 indexed citations

17.

Äyrämö, Sami, et al.. (2009). Applying Semiautomatic Generation of Conceptual Models to Decision Support Systems Domain. Jyväskylä University Digital Archive (University of Jyväskylä). 1 indexed citations

18.

Äyrämö, Sami, et al.. (2009). Mining road traffic accidents. Jyväskylä University Digital Archive (University of Jyväskylä). 5 indexed citations

19.

Äyrämö, Sami, et al.. (2008). Clustering aided approach for decision making in computationally expensive multiobjective optimization. Optimization methods & software. 24(2). 157–174. 10 indexed citations

20.

Kärkkäinen, Tommi & Sami Äyrämö. (2004). Robust Clustering Methods For Incomplete AndErroneous Data. WIT transactions on information and communication technologies. 33. 11 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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