Markus Peters

27 papers receiving 474 citations

Peers

Markus Peters
Comparison fields: 5 of 94
  • Orthopedics and Sports Medicine 52
  • Management Science and Operations Research 53
  • Signal Processing 44
  • Automotive Engineering 41
  • Artificial Intelligence 106
Replace Jingjing Cao with:
Jingjing Cao China
Abhishek Agrawal United States
Emmanuel Adetiba Nigeria
Mohammad Hammoud Lebanon
Yongjian Wang China
Felipe Gil‐Castiñeira Spain
M. Iyapparaja India
Sian Lun Lau Malaysia
Teruaki Ito Japan
Markus Peters relative to Jingjing Cao China Jingjing Cao's profile →
Citations per field
00.5×10×17.3×
Jingjing Cao · 1×
Citations per year

Countries citing papers authored by Markus Peters

Since Specialization
Citations

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

Fields of papers citing papers by Markus Peters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Peters, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Peters Line = papers co-authored together Markus Peters links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201386
2 201670
3 201756
4 200650
5 200537
6 200334
7 200632
8 201328
9 201625
10 200520
11 201512
12 20229
13 20058
14 20197
15 20045
16 20175
17 20185
18
Fast Laplace Approximation for Gaussian Processes with a Tensor Product Kernel
20142
19
MUSCULOSKELETAL MODELLING OF HANDCYCLING MOTION ON AN EROGOMETER: INFLUENCE OF CRANK POSITION ON TRAINING PURPOSES.
20171
20 20231

About Markus Peters

Markus Peters is a scholar working on Artificial Intelligence, Mechanical Engineering, Electrical and Electronic Engineering, Social Psychology and Information Systems, having authored 29 papers that have together received 500 indexed citations. Recurring topics across this work include Numerical methods in engineering (3 papers), Advanced Clustering Algorithms Research (3 papers), Auction Theory and Applications (3 papers), Smart Grid Energy Management (3 papers), Refrigeration and Air Conditioning Technologies (3 papers), Face and Expression Recognition (2 papers), Ergonomics and Musculoskeletal Disorders (2 papers) and Pediatric health and respiratory diseases (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (52 citations), Management Science and Operations Research (53 citations), Signal Processing (44 citations), Automotive Engineering (41 citations) and Artificial Intelligence (106 citations). Markus Peters has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Wolfgang Ketter, John Collins, Mohammed J. Zaki, Maytal Saar‐Tsechansky, Alok Gupta, Ira Assent, Thomas Seidl, Johannes Funken, Wolfgang Potthast and Sina David. Their work appears in journals such as Ergonomics, Machine Learning, Data & Knowledge Engineering, Journal of Fluids and Structures and Biochemical Journal.

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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