Sam Hellmuth

20 papers receiving 134 citations

Peers

Sam Hellmuth
Comparison fields: 5 of 24
  • Linguistics and Language 54
  • Experimental and Cognitive Psychology 96
  • Language and Linguistics 67
  • Developmental and Educational Psychology 34
  • Artificial Intelligence 57
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Citations per year

Countries citing papers authored by Sam Hellmuth

Since Specialization
Citations

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

Fields of papers citing papers by Sam Hellmuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Sam Hellmuth, 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 Sam Hellmuth Line = papers co-authored together Sam Hellmuth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201536
2 200632
3 200722
4
Doing Optimality Theory: Applying theory to data
200919
5
Acquiring the Phonetics and Phonology of English Word Stress: Comparing Learners from Different L1 Backgrounds
20149
6 20168
7 20235
8 20184
9
Understanding the National Student Survey: investigations in languages, linguistics and area studies
20114
10
Acoustic analysis of the Syrian Arabic vowel system
20152
11 20122
12 20222
13 20202
14 20181
15
Information structure in linguistic theory and in speech production: validation of a cross-linguistic dataset
20071
16 20211
17
Intonational patterns, tonal alignment and focus in Mawng
20071
18
How Many Levels of Phrasing? EmpiricalQuestions and Typological Implications
20111
19 20201
20
VARIATION IN PHONETIC REALISATION OR IN PHONOLOGICAL CATEGORIES? INTONATIONAL PITCH ACCENTS IN EGYPTIAN COLLOQUIAL ARABIC AND EGYPTIAN FORMAL ARABIC
20071

About Sam Hellmuth

Sam Hellmuth is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language, Artificial Intelligence, Language and Linguistics and Developmental and Educational Psychology, having authored 22 papers that have together received 154 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (18 papers), Linguistic Variation and Morphology (12 papers), Speech Recognition and Synthesis (7 papers), Language Development and Disorders (5 papers), Syntax, Semantics, Linguistic Variation (4 papers), Natural Language Processing Techniques (3 papers), Speech and dialogue systems (3 papers) and Lexicography and Language Studies (1 paper). The work is most often cited by research in Linguistics and Language (54 citations), Experimental and Cognitive Psychology (96 citations), Language and Linguistics (67 citations), Developmental and Educational Psychology (34 citations) and Artificial Intelligence (57 citations). Sam Hellmuth has collaborated with scholars based in United Kingdom, Germany and Tunisia. Frequent co-authors include Simon P. Liversedge, Denis Drieghe, Silke Hamann, Kateřina Chládková, Daniel Williams, Stavros Skopeteas, Jeanine Treffers‐Daller, John Gray, Frank Kügler and A Sewell. Their work appears in journals such as The Linguistic Review, Speech Communication, Journal of the International Phonetic Association, Language and Speech and Journal of Experimental Psychology Human Perception & Performance.

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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