Adrian Alsmith

866 citations
20 papers · 613 · h-index 9

Impact in

Papers in

Adrian Alsmith

18 papers receiving 564 citations

Peers

Adrian Alsmith
Comparison fields: 5 of 73
  • Human-Computer Interaction 222
  • Cognitive Neuroscience 346
  • Social Psychology 256
  • Psychiatry and Mental health 109
  • Experimental and Cognitive Psychology 104
Replace Giuseppina Porciello with:
Giuseppina Porciello Italy
Ilaria Bufalari Italy
Bryan Paton Australia
Peter Lush United Kingdom
Anna Laura Sforza Italy
Friederike Schüür United States
Jakub Limanowski Germany
Anna Sedda Italy
Nick Olthof Netherlands
Flavia Cardini United Kingdom
Adrian Alsmith relative to Giuseppina Porciello Italy Giuseppina Porciello's profile →
Citations per field
00.5×
Giuseppina Porciello · 1×
Citations per year

Countries citing papers authored by Adrian Alsmith

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Alsmith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Adrian Alsmith, 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 Adrian Alsmith Line = papers co-authored together Adrian Alsmith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2013203
2
The Subject's Matter: Self-Consciousness and the Body
201798
3 201875
4 201456
5 201252
6 201844
7 201716
8 201415
9 20199
10 20198
11 20217
12 20216
13 20205
14 20195
15 20224
16 20194
17 20122
18 20152
19
20121
20 20211

About Adrian Alsmith

Adrian Alsmith is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Social Psychology, Experimental and Cognitive Psychology and Psychiatry and Mental health, having authored 20 papers that have together received 613 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (9 papers), Visual perception and processing mechanisms (8 papers), Action Observation and Synchronization (7 papers), Categorization, perception, and language (2 papers), Spatial Cognition and Navigation (2 papers), Tactile and Sensory Interactions (2 papers), Embodied and Extended Cognition (2 papers) and Psychosomatic Disorders and Their Treatments (2 papers). The work is most often cited by research in Human-Computer Interaction (222 citations), Cognitive Neuroscience (346 citations), Social Psychology (256 citations), Psychiatry and Mental health (109 citations) and Experimental and Cognitive Psychology (104 citations). Adrian Alsmith has collaborated with scholars based in United Kingdom, Denmark and France. Frequent co-authors include Frédérique de Vignemont, Matthew R. Longo, Christophe Lopez, Andrea Serino, Marcello Costantini, Ana Tajadura‐Jiménez, Victor Pitron, Jarrod Knibbe, Kasper Hornbæk and Elisa Raffaella Ferrè. Their work appears in journals such as Consciousness and Cognition, Review of Philosophy and Psychology, Cognition, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Experimental Brain Research.

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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