Angelika Peer

4.0k citations
116 papers · 2.7k · 1 hit paper · h-index 26

Impact in

Papers in

Angelika Peer

109 papers receiving 2.6k citations

Angelika Peer's Hit Papers

Feature Extraction and Selection for Emotion Recognition from EEG 2014 · 770 citations
7700+4+8Years since publication250500750

Peers

Angelika Peer
Comparison fields: 5 of 117
  • Human-Computer Interaction 511
  • Cognitive Neuroscience 1.5k
  • Experimental and Cognitive Psychology 588
  • Control and Systems Engineering 710
  • Mechanical Engineering 776
Replace Yoji Yamada with:
Yoji Yamada Japan
Yasuharu Koike Japan
Teodiano Bastos-Filho Brazil
Seungmoon Choi South Korea
Anatole Lécuyer France
Katherine J. Kuchenbecker United States
Karon E. MacLean Canada
Masahiko İnami Japan
Shogo Okamoto Japan
Brenna Argall United States
Angelika Peer relative to Yoji Yamada Japan Yoji Yamada's profile →
Citations per field
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Yoji Yamada · 1×
Citations per year

Countries citing papers authored by Angelika Peer

Since Specialization
Citations

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

Fields of papers citing papers by Angelika Peer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Angelika Peer, 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 Angelika Peer Line = papers co-authored together Angelika Peer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Feature Extraction and Selection for Emotion Recognition from EEG
Hit paper breakdown →
2014770
2 2010155
3 200992
4 201255
5 201654
6 201251
7 200850
8 200950
9 201047
10 200846
11 200946
12 201346
13 200945
14 201645
15 200943
16 201642
17 201342
18 201841
19 201636
20 201634

About Angelika Peer

Angelika Peer is a scholar working on Mechanical Engineering, Cognitive Neuroscience, Control and Systems Engineering, Biomedical Engineering and Human-Computer Interaction, having authored 116 papers that have together received 2.7k indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (54 papers), Tactile and Sensory Interactions (27 papers), Robot Manipulation and Learning (27 papers), Motor Control and Adaptation (16 papers), EEG and Brain-Computer Interfaces (15 papers), Virtual Reality Applications and Impacts (13 papers), Soft Robotics and Applications (11 papers) and Action Observation and Synchronization (9 papers). The work is most often cited by research in Human-Computer Interaction (511 citations), Cognitive Neuroscience (1.5k citations), Experimental and Cognitive Psychology (588 citations), Control and Systems Engineering (710 citations) and Mechanical Engineering (776 citations). Angelika Peer has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Martin Buss, Robert Jenke, Raphaela Groten, Zheng Wang, Roberta L. Klatzky, Milad Geravand, Axel Thielscher, Jean‐Pierre Bresciani, Alexandra Reichenbach and HH Bülthoff. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Haptics, Journal of Neural Engineering, IEEE Transactions on Industrial Electronics and IEEE Access.

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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