Arthur G. Samuel

8.8k citations
142 papers · 5.8k indexed · h-index 41

Arthur G. Samuel

136 papers receiving 5.4k citations

Peers

Arthur G. Samuel
Comparison fields: 5 of 101
  • Experimental and Cognitive Psychology 4.1k
  • Linguistics and Language 1.2k
  • Cognitive Neuroscience 3.4k
  • Developmental and Educational Psychology 1.7k
  • Signal Processing 934
Replace James M. McQueen with:
James M. McQueen Netherlands
Winifred Strange United States
Catherine T. Best United States
Ann R. Bradlow United States
Carol A. Fowler United States
Bob McMurray United States
Allard Jongman United States
John W. Mullennix United States
Yi Xu United Kingdom
Lynne C. Nygaard United States
Arthur G. Samuel relative to James M. McQueen Netherlands James M. McQueen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arthur G. Samuel

Since Specialization
Citations

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

Fields of papers citing papers by Arthur G. Samuel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arthur G. Samuel. 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 Arthur G. Samuel. The network helps show where Arthur G. Samuel may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3 202027
4 20197
5 201913
6 201922
7 201612
8 20154
9 201411
10 201136
11 200932
12 2009197
13 200719
14 2007165
15 200231
16 199812
17 1997101
18 199110
19 1990101
20 19888

About Arthur G. Samuel

Arthur G. Samuel is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Linguistics and Language, having authored 142 papers that have together received 5.8k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (81 papers), Multisensory perception and integration (38 papers), Neurobiology of Language and Bilingualism (33 papers), Hearing Loss and Rehabilitation (23 papers), Neuroscience and Music Perception (23 papers), Reading and Literacy Development (22 papers), Speech and Audio Processing (19 papers) and Linguistic Variation and Morphology (19 papers). The work is most often cited by research in Experimental and Cognitive Psychology (4.1k citations), Linguistics and Language (1.2k citations) and Cognitive Neuroscience (3.4k citations). Arthur G. Samuel has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Tanya Kraljic, Mark A. Pitt, Meghan Sumner, Siyun Liu, Susan E. Brennan, Lopa Leach, Sven L. Mattys, Melissa K. Gregg, Jon Andoni Duñabeitia and Angela de Bruin. Their work appears in journals such as NeuroImage, Psychological Review and Psychological 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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