Marko Ackermann

972 total citations
32 papers, 635 citations indexed

About

Marko Ackermann is a scholar working on Biomedical Engineering, Pathology and Forensic Medicine and Control and Systems Engineering. According to data from OpenAlex, Marko Ackermann has authored 32 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 7 papers in Pathology and Forensic Medicine and 5 papers in Control and Systems Engineering. Recurrent topics in Marko Ackermann's work include Prosthetics and Rehabilitation Robotics (17 papers), Muscle activation and electromyography studies (15 papers) and Spinal Cord Injury Research (7 papers). Marko Ackermann is often cited by papers focused on Prosthetics and Rehabilitation Robotics (17 papers), Muscle activation and electromyography studies (15 papers) and Spinal Cord Injury Research (7 papers). Marko Ackermann collaborates with scholars based in Brazil, Germany and United States. Marko Ackermann's co-authors include Antonie J. van den Bogert, Werner Schiehlen, Jason P. Halloran, Ali Erdemir, Isabel de Camargo Neves Sacco, Dinant Kistemaker, Marco Aurélio Vaz, Aline A. Gomes, Maarten F. Bobbert and Agenor de Toledo Fleury and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Biomechanics and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Marko Ackermann

29 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marko Ackermann Brazil 11 499 130 98 90 72 32 635
Jeremy O’Connor Ireland 7 380 0.8× 154 1.2× 66 0.7× 134 1.5× 154 2.1× 15 824
J.-P. Verriest France 9 268 0.5× 152 1.2× 86 0.9× 144 1.6× 119 1.7× 17 589
James J. Dunne United States 7 592 1.2× 139 1.1× 119 1.2× 179 2.0× 147 2.0× 8 835
Carmichael Ong United States 7 728 1.5× 179 1.4× 140 1.4× 156 1.7× 120 1.7× 12 995
Roberto Di Marco Italy 15 200 0.4× 101 0.8× 90 0.9× 71 0.8× 49 0.7× 47 570
Herbert M. Reynolds United States 11 274 0.5× 114 0.9× 68 0.7× 160 1.8× 122 1.7× 36 678
Seungmoon Song United States 14 542 1.1× 162 1.2× 64 0.7× 42 0.5× 26 0.4× 30 653
R. Seliktar United States 12 380 0.8× 55 0.4× 91 0.9× 56 0.6× 75 1.0× 32 581
Pilwon Hur United States 17 373 0.7× 186 1.4× 222 2.3× 42 0.5× 37 0.5× 55 829
Florent Moissenet France 16 474 0.9× 147 1.1× 61 0.6× 104 1.2× 287 4.0× 65 776

Countries citing papers authored by Marko Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by Marko Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Ackermann

This figure shows the co-authorship network connecting the top 25 collaborators of Marko Ackermann. A scholar is included among the top collaborators of Marko Ackermann 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 Marko Ackermann. Marko Ackermann 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.
Ackermann, Marko, et al.. (2022). Performance of Impedance Control-Based Strategies in Power-Assisted Wheelchairs: A Predictive Simulation Study. Frontiers in Neurorobotics. 16. 805835–805835. 1 indexed citations
2.
Ackermann, Marko, et al.. (2019). A model-based control strategy for assisted manual wheelchairs: a simulation study. 3(5). 50–56. 1 indexed citations
3.
Fleury, Agenor de Toledo, et al.. (2018). Assessing the influence of the road-tire friction coefficient on the yaw and roll stability of articulated vehicles. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 233(12). 2987–2999. 12 indexed citations
4.
Gomes, Aline A., et al.. (2017). Muscle force distribution of the lower limbs during walking in diabetic individuals with and without polyneuropathy. Journal of NeuroEngineering and Rehabilitation. 14(1). 111–111. 26 indexed citations
5.
Gomes, Aline A., et al.. (2017). Predictive simulation of diabetic gait: Individual contribution of ankle stiffness and muscle weakening. Gait & Posture. 58. 208–213. 7 indexed citations
6.
7.
Monteiro, Samuel, et al.. (2017). IMPEDANCE CONTROL FOR ASSISTANCE IN CARGO HANDLING. 1 indexed citations
8.
Ackermann, Marko, et al.. (2016). Vehicle Dynamics - Lateral: Open Source Simulation Package for MATLAB. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 indexed citations
9.
Bobbert, Maarten F., Dinant Kistemaker, Marco Aurélio Vaz, & Marko Ackermann. (2016). Searching for strategies to reduce the mechanical demands of the sit-to-stand task with a muscle-actuated optimal control model. Clinical Biomechanics. 37. 83–90. 27 indexed citations
10.
Ackermann, Marko, et al.. (2015). A Modeling Framework to Investigate the Radial Component of the Pushrim Force in Manual Wheelchair Propulsion. SHILAP Revista de lepidopterología. 35. 2008–2008. 2 indexed citations
11.
12.
Ackermann, Marko & Antonie J. van den Bogert. (2012). Predictive simulation of gait at low gravity reveals skipping as the preferred locomotion strategy. Journal of Biomechanics. 45(7). 1293–1298. 46 indexed citations
13.
Forner‐Cordero, Arturo, et al.. (2011). A method to simulate motor control strategies to recover from perturbations: Application to a stumble recovery during gait. PubMed. 31. 7829–7832. 8 indexed citations
14.
Ackermann, Marko, et al.. (2011). Using Linear Programming for the Optimal Control of a Cart-Pendulum System. 200–205.
15.
Halloran, Jason P., Marko Ackermann, Ali Erdemir, & Antonie J. van den Bogert. (2010). Concurrent musculoskeletal dynamics and finite element analysis predicts altered gait patterns to reduce foot tissue loading. Journal of Biomechanics. 43(14). 2810–2815. 63 indexed citations
16.
Ackermann, Marko & Antonie J. van den Bogert. (2010). Predictive simulation of gait in rehabilitation. PubMed. 2010. 5444–5447. 10 indexed citations
17.
Ackermann, Marko & Antonie J. van den Bogert. (2010). Optimality principles for model-based prediction of human gait. Journal of Biomechanics. 43(6). 1055–1060. 301 indexed citations
18.
Ackermann, Marko & Fábio Gagliardi Cozman. (2009). Automatic knee flexion in lower limb orthoses. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 31(4). 305–311. 3 indexed citations
19.
Schrader, Christian, Marko Ackermann, & F Barbakow. (1999). Step‐by‐step description of a rotary root canal preparation technique. International Endodontic Journal. 32(4). 312–320. 16 indexed citations
20.
Barbakow, F, Marko Ackermann, Ivo Krejci, & F Lutz. (1994). [Amalgam as the measure in filling therapy. A determination of its place].. PubMed. 104(11). 1341–50. 2 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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