Mark Elshaw

632 citations
23 papers · 350 indexed · h-index 11

Impact in

Papers in

Mark Elshaw

23 papers receiving 335 citations

Peers

Mark Elshaw
Comparison fields: 5 of 86
  • Experimental and Cognitive Psychology 102
  • Computer Vision and Pattern Recognition 141
  • Social Psychology 87
  • Cognitive Neuroscience 82
  • Human-Computer Interaction 22
Replace Markus Hofbauer with:
Markus Hofbauer Germany
Md. Mokammel Haque Bangladesh
Mahwish Ilyas Pakistan
Anirban Dasgupta India
Ahmad Haj Mosa Austria
Mouhannad Ali Austria
Matthias Kerzel Germany
Anna Gruebler Japan
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Mark Elshaw relative to Markus Hofbauer Germany Markus Hofbauer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark Elshaw

Since Specialization
Citations

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

Fields of papers citing papers by Mark Elshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Mark Elshaw, 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 Mark Elshaw Line = papers co-authored together Mark Elshaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201960
2 201860
3 201739
4 200531
5 200428
6 199917
7
Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience
200516
8 201316
9 200513
10 200313
11 202012
12 20067
13 20187
14
Towards Integrating Learning by Demonstration and Learning by Instruction in a Multimodal Robotics
20036
15 20056
16
Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
20054
17 20054
18 20034
19 20062
20 20032

About Mark Elshaw

Mark Elshaw is a scholar working on Social Psychology, Control and Systems Engineering, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 23 papers that have together received 350 indexed citations. Recurring topics across this work include Action Observation and Synchronization (9 papers), Robot Manipulation and Learning (9 papers), Face and Expression Recognition (4 papers), Emotion and Mood Recognition (4 papers), Face recognition and analysis (4 papers), Neural Networks and Applications (3 papers), Language and cultural evolution (3 papers) and Language, Metaphor, and Cognition (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (102 citations), Computer Vision and Pattern Recognition (141 citations), Social Psychology (87 citations), Cognitive Neuroscience (82 citations) and Human-Computer Interaction (22 citations). Mark Elshaw has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include Stefan Wermter, Vasile Palade, Günther Palm, Cornelius Weber, Sujan Rajbhandari, Stratis Kanarachos, M. Nazmul Huda, Chitta Saha, P. Corcoran and Christo Panchev. Their work appears in journals such as Neural Networks, Robotics and Autonomous Systems, Sensors and Actuators A Physical, Knowledge-Based Systems and Connection Science.

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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