Achim Buerkle

447 total citations
12 papers, 259 citations indexed

About

Achim Buerkle is a scholar working on Biomedical Engineering, Control and Systems Engineering and Social Psychology. According to data from OpenAlex, Achim Buerkle has authored 12 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Control and Systems Engineering and 3 papers in Social Psychology. Recurrent topics in Achim Buerkle's work include EEG and Brain-Computer Interfaces (3 papers), Digital Transformation in Industry (3 papers) and Human-Automation Interaction and Safety (3 papers). Achim Buerkle is often cited by papers focused on EEG and Brain-Computer Interfaces (3 papers), Digital Transformation in Industry (3 papers) and Human-Automation Interaction and Safety (3 papers). Achim Buerkle collaborates with scholars based in United Kingdom and Germany. Achim Buerkle's co-authors include Niels Lohse, Pedro Ferreira, Thomas Bamber, William Eaton, Peter Kinnell, Matthew Coombes, Wen‐Hua Chen, Michael Henshaw, John Ahmet Erkoyuncu and Dedy Ariansyah and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, Robotics and Computer-Integrated Manufacturing and Electronics.

In The Last Decade

Achim Buerkle

12 papers receiving 249 citations

Peers

Achim Buerkle

IME

CSE

SP

BE

CN

William Eaton United Kingdom

Angeliki Zacharaki Greece

Pere Ponsa Spain

Jonas Schmidtler Germany

Riccardo Gervasi Italy

Isma Akli Algeria

Aleš Vysocký Czechia

Caroline E. Harriott United States

Francesco Semeraro Italy

Valters Abolins Latvia

William Eaton United Kingdom

Achim Buerkle

70 ×0.9

IME

92 ×1.2

CSE

45 ×0.7

SP

59 ×1.0

BE

32 ×0.8

CN

Citations per year, relative to Achim Buerkle Achim Buerkle (= 1×) peers William Eaton

Countries citing papers authored by Achim Buerkle

Since Specialization

Citations

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

Fields of papers citing papers by Achim Buerkle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Achim Buerkle

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

All Works

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12 of 12 papers shown

1.

Buerkle, Achim, et al.. (2023). An Incremental Learning Approach to Detect Muscular Fatigue in Human– Robot Collaboration. IEEE Transactions on Human-Machine Systems. 53(3). 520–528. 7 indexed citations

2.

Buerkle, Achim, et al.. (2023). Recommendations to align higher education teaching with the UN sustainability goals – A scoping survey. International Journal of Educational Research Open. 5. 100280–100280. 20 indexed citations

3.

Buerkle, Achim, William Eaton, Peter Kinnell, et al.. (2022). Towards industrial robots as a service (IRaaS): Flexibility, usability, safety and business models. Robotics and Computer-Integrated Manufacturing. 81. 102484–102484. 65 indexed citations

4.

Buerkle, Achim, et al.. (2021). An adaptive human sensor framework for human–robot collaboration. The International Journal of Advanced Manufacturing Technology. 119(1-2). 1233–1248. 28 indexed citations

5.

Buerkle, Achim, et al.. (2021). Data-Driven Modelling of Human-Human Co-Manipulation Using Force and Muscle Surface Electromyogram Activities. Electronics. 10(13). 1509–1509. 6 indexed citations

6.

Buerkle, Achim, Thomas Bamber, Niels Lohse, & Pedro Ferreira. (2021). Feasibility of Detecting Potential Emergencies in Symbiotic Human-Robot Collaboration with a mobile EEG. Robotics and Computer-Integrated Manufacturing. 72. 102179–102179. 22 indexed citations

7.

Buerkle, Achim, William Eaton, Niels Lohse, Thomas Bamber, & Pedro Ferreira. (2021). EEG based arm movement intention recognition towards enhanced safety in symbiotic Human-Robot Collaboration. Robotics and Computer-Integrated Manufacturing. 70. 102137–102137. 80 indexed citations

8.

Buerkle, Achim, et al.. (2020). An Incremental Learning Approach for Physical Human-Robot Collaboration. 3. 9–11. 2 indexed citations

9.

Eaton, William, et al.. (2020). Investigating the Impact of Human in-the-Loop Digital Twin in an Industrial Maintenance Context. SSRN Electronic Journal. 3 indexed citations

10.

Ariansyah, Dedy, et al.. (2020). Towards a Digital Human Representation in an Industrial Digital Twin. SSRN Electronic Journal. 8 indexed citations

11.

Buerkle, Achim, et al.. (2020). Effective Human-Robot Collaboration Through Wearable Sensors. University of Birmingham Research Portal (University of Birmingham). 651–658. 15 indexed citations

12.

Buerkle, Achim, Niels Lohse, & Pedro Ferreira. (2019). Towards Symbiotic Human-Robot Collaboration: Human Movement Intention Recognition with an EEG. 2. 52–55. 3 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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