Alexander Horsch

3.1k total citations · 1 hit paper
100 papers, 1.9k citations indexed

About

Alexander Horsch is a scholar working on Physiology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Alexander Horsch has authored 100 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Physiology, 16 papers in Computer Vision and Pattern Recognition and 16 papers in Artificial Intelligence. Recurrent topics in Alexander Horsch's work include Physical Activity and Health (20 papers), Context-Aware Activity Recognition Systems (11 papers) and AI in cancer detection (10 papers). Alexander Horsch is often cited by papers focused on Physical Activity and Health (20 papers), Context-Aware Activity Recognition Systems (11 papers) and AI in cancer detection (10 papers). Alexander Horsch collaborates with scholars based in Norway, Germany and United Kingdom. Alexander Horsch's co-authors include Matthias Elter, Lukas Gorzelniak, Søren Brage, Ulf Ekelund, Vincent T. van Hees, Emmanuel Dean‐Leon, Frida Renström, M. Eder, Salman Taherian and Paul W. Franks and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Alexander Horsch

96 papers receiving 1.9k citations

Hit Papers

Separating Movement and Gravity Components in an Accelera... 2013 2026 2017 2021 2013 200 400 600
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.

  1. Separating Movement and Gravity Components in an Acceleration Signal and Implications for the Assessment of Human Daily Physical Activity
    2013 616 citations Vincent T. van Hees, Lukas Gorzelniak et al. PLoS ONE profile →

Peers

Alexander Horsch
Chongzhi Di United States
Hanna Suominen Finland
Hilaire J. Thompson United States
Stuart Smith Australia
Miriam Vollenbroek-Hutten Netherlands
Kendra K. Schmid United States
Suneeta Godbole United States
Antonio Cuesta‐Vargas Spain
David Hewson France
Philip Yap Singapore
Chongzhi Di United States
Alexander Horsch
Citations per year, relative to Alexander Horsch Alexander Horsch (= 1×) peers Chongzhi Di

Countries citing papers authored by Alexander Horsch

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Horsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Horsch

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Horsch. A scholar is included among the top collaborators of Alexander Horsch 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 Alexander Horsch. Alexander Horsch 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.
2.
Morseth, Bente, et al.. (2024). Influence of Accelerometer Calibration on the Estimation of Objectively Measured Physical Activity: The Tromsø Study. Journal for the Measurement of Physical Behaviour. 7(1). 2 indexed citations
3.
Horsch, Alexander, et al.. (2023). Interpretability in Deep Learning. 9 indexed citations
4.
Agarwal, Krishna, et al.. (2023). Taxonomy of hybridly polarized Stokes vortex beams. Optics Express. 32(5). 7404–7404. 1 indexed citations
5.
Johansson, Jonas, et al.. (2023). Collecting health-related research data using consumer-based wireless smart scales. International Journal of Medical Informatics. 173. 105043–105043. 4 indexed citations
6.
Birgisdottir, Åsa Birna, et al.. (2023). Analyzing Mitochondrial Morphology Through Simulation Supervised Learning. Journal of Visualized Experiments. 2 indexed citations
7.
Furberg, Anne‐Sofie, Peder A. Halvorsen, Bjørge Herman Hansen, et al.. (2022). Criterion validity of the Saltin-Grimby Physical Activity Level Scale in adolescents. The Fit Futures Study. PLoS ONE. 17(9). e0273480–e0273480. 4 indexed citations
8.
Syed, Shaheen, Bente Morseth, Laila Arnesdatter Hopstock, & Alexander Horsch. (2020). Evaluating the performance of raw and epoch non-wear algorithms using multiple accelerometers and electrocardiogram recordings. Scientific Reports. 10(1). 5866–5866. 25 indexed citations
9.
Morseth, Bente, Bjørn Helge Handegård, Kjersti Lillevoll, et al.. (2019). Change in physical activity is not associated with change in mental distress among adolescents: the Tromsø study: Fit Futures. BMC Public Health. 19(1). 916–916. 21 indexed citations
10.
11.
Kohler, Simone, Gundula Behrens, Matthias Olden, et al.. (2017). Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument. Journal of Medical Internet Research. 19(5). e186–e186. 8 indexed citations
12.
Hees, Vincent T. van, Klaus-Hendrik Wolf, Jan Christian Brønd, et al.. (2016). Challenges and Opportunities for Harmonizing Research Methodology: Raw Accelerometry. Methods of Information in Medicine. 55(6). 525–532. 41 indexed citations
13.
Lovell, Nigel H., Guang Yang, Alexander Horsch, et al.. (2014). What Does Big Data Mean for Wearable Sensor Systems?. Yearbook of Medical Informatics. 23(1). 135–142. 36 indexed citations
14.
Gorzelniak, Lukas, André Dias, Konrad Schultz, et al.. (2012). Comparison of Recording Positions of Physical Activity in Patients with Severe COPD Undergoing LTOT. COPD Journal of Chronic Obstructive Pulmonary Disease. 9(5). 528–537. 4 indexed citations
15.
Johansen, Monika Alise, Eva Henriksen, Alexander Horsch, Tibor Schuster, & Gro Berntsen. (2012). Electronic Symptom Reporting Between Patient and Provider for Improved Health Care Service Quality: A Systematic Review of Randomized Controlled Trials. Part 1: State of the Art. Journal of Medical Internet Research. 14(5). e118–e118. 44 indexed citations
16.
Horsch, Alexander, Alexander Hapfelmeier, & Matthias Elter. (2011). Needs assessment for next generation computer-aided mammography reference image databases and evaluation studies. International Journal of Computer Assisted Radiology and Surgery. 6(6). 749–767. 28 indexed citations
17.
Elter, Matthias & Alexander Horsch. (2009). CADx of mammographic masses and clustered microcalcifications: A review. Medical Physics. 36(6Part1). 2052–2068. 144 indexed citations
18.
Tolxdorff, Thomas, et al.. (2008). Bildverarbeitung fr die Medizin 2008: Algorithmen - Systeme - Anwendungen (Informatik aktuell). Springer eBooks. 2 indexed citations
19.
Handels, Heinz, et al.. (2006). Bildverarbeitung für die Medizin 2005: Algorithmen - Systeme - AnwendungenProceedings des Workshops vom 13. - 15. März 2005 in Heidelberg (Informatik aktuell). Springer eBooks. 2 indexed citations
20.
Leimeister, Jan Marco, Helmut Krcmar, Alexander Horsch, & Klaus A. Kuhn. (2005). Mobile IT-Systeme im Gesundheitswesen, mobile Systeme für Patienten. Alexandria (UniSG) (University of St.Gallen). 244. 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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