Peter C. Hauser

3.1k total citations
47 papers, 1.7k citations indexed

About

Peter C. Hauser is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Language and Linguistics. According to data from OpenAlex, Peter C. Hauser has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Developmental and Educational Psychology, 21 papers in Cognitive Neuroscience and 14 papers in Language and Linguistics. Recurrent topics in Peter C. Hauser's work include Hearing Impairment and Communication (40 papers), Tactile and Sensory Interactions (16 papers) and Hand Gesture Recognition Systems (13 papers). Peter C. Hauser is often cited by papers focused on Hearing Impairment and Communication (40 papers), Tactile and Sensory Interactions (16 papers) and Hand Gesture Recognition Systems (13 papers). Peter C. Hauser collaborates with scholars based in United States, Israel and Germany. Peter C. Hauser's co-authors include Matthew Dye, Daphné Bavelier, Marc Marschark, Ted Supalla, Michael McKee, Denise Thew, Amanda O’Hearn, Aaron J. Newman, Elissa L. Newport and Elizabeth A. Hirshorn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Peter C. Hauser

43 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter C. Hauser United States 22 1.2k 886 496 338 316 47 1.7k
Harry Knoors Netherlands 26 1.4k 1.1× 801 0.9× 191 0.4× 240 0.7× 300 0.9× 90 1.9k
Brenda Schick United States 18 1.2k 1.0× 440 0.5× 174 0.4× 188 0.6× 303 1.0× 28 1.4k
Amy R. Lederberg United States 24 1.6k 1.3× 647 0.7× 193 0.4× 165 0.5× 312 1.0× 58 2.0k
Michael A. Karchmer United States 14 1.2k 1.0× 437 0.5× 147 0.3× 301 0.9× 435 1.4× 26 1.5k
María Cristina Caselli Italy 35 3.5k 2.8× 1.3k 1.5× 521 1.1× 322 1.0× 629 2.0× 93 4.2k
Patricia Elizabeth Spencer United States 20 1.2k 1.0× 552 0.6× 145 0.3× 112 0.3× 229 0.7× 41 1.4k
Judith Holler Netherlands 26 1.2k 1.0× 465 0.5× 1.2k 2.4× 334 1.0× 851 2.7× 96 2.2k
Matthew Dye United States 20 988 0.8× 1.2k 1.4× 918 1.9× 257 0.8× 65 0.2× 41 2.2k
Karla K. McGregor United States 39 3.7k 3.1× 2.1k 2.3× 461 0.9× 106 0.3× 215 0.7× 106 4.3k
Jill de Villiers United States 22 1.3k 1.1× 473 0.5× 282 0.6× 76 0.2× 410 1.3× 75 1.8k

Countries citing papers authored by Peter C. Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter C. Hauser. 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 Peter C. Hauser. The network helps show where Peter C. Hauser may publish in the future.

Co-authorship network of co-authors of Peter C. Hauser

This figure shows the co-authorship network connecting the top 25 collaborators of Peter C. Hauser. A scholar is included among the top collaborators of Peter C. Hauser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter C. Hauser. Peter C. Hauser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hauser, Peter C., et al.. (2023). Second language learning of depiction in a different modality: The case of sign language acquisition. Frontiers in Communication. 7. 3 indexed citations
2.
3.
Hauser, Peter C.. (2016). Cognitive Sequelae of Atypical Sign Language Development.
4.
Hauser, Peter C., et al.. (2016). Work-Related Resilience: Deaf Professionals’ Perspectives. NSUWorks (Nova Southeastern University). 50(3). 88–109. 6 indexed citations
5.
Quinto‐Pozos, David, Jenny L. Singleton, & Peter C. Hauser. (2016). A Case of Specific Language Impairment in a Deaf Signer of American Sign Language. The Journal of Deaf Studies and Deaf Education. 22(2). 204–218. 12 indexed citations
6.
Hirshorn, Elizabeth A., Matthew Dye, Peter C. Hauser, Ted Supalla, & Daphné Bavelier. (2015). The contribution of phonological knowledge, memory, and language background to reading comprehension in deaf populations. Frontiers in Psychology. 6. 1153–1153. 39 indexed citations
7.
Stone, Adam, et al.. (2015). Fingerspelling as a Novel Gateway into Reading Fluency in Deaf Bilinguals. PLoS ONE. 10(10). e0139610–e0139610. 49 indexed citations
8.
Hirshorn, Elizabeth A., Matthew Dye, Peter C. Hauser, Ted Supalla, & Daphné Bavelier. (2014). Neural networks mediating sentence reading in the deaf. Frontiers in Human Neuroscience. 8. 394–394. 12 indexed citations
9.
Supalla, Ted, Peter C. Hauser, & Daphné Bavelier. (2014). Reproducing American Sign Language sentences: cognitive scaffolding in working memory. Frontiers in Psychology. 5. 859–859. 45 indexed citations
10.
Dye, Matthew & Peter C. Hauser. (2013). Sustained attention, selective attention and cognitive control in deaf and hearing children. Hearing Research. 309. 94–102. 73 indexed citations
11.
Quinto‐Pozos, David, et al.. (2013). Atypical signed language development: A case study of challenges with visual–spatial processing. Cognitive Neuropsychology. 30(5). 332–359. 24 indexed citations
12.
Güldenoğlu, Birkan, et al.. (2013). A Comparison of the Letter-Processing Skills of Hearing and Deaf Readers: Evidence From Five Orthographies. The Journal of Deaf Studies and Deaf Education. 19(2). 220–237. 4 indexed citations
13.
Corina, David P., et al.. (2013). Lexical Processing in Deaf Readers: An fMRI Investigation of Reading Proficiency. PLoS ONE. 8(1). e54696–e54696. 26 indexed citations
14.
Miller, Paul, et al.. (2012). Factors Distinguishing Skilled and Less Skilled Deaf Readers: Evidence From Four Orthographies. The Journal of Deaf Studies and Deaf Education. 17(4). 439–462. 29 indexed citations
15.
Myers, Candace T., et al.. (2010). Black Deaf Individuals’ Reading Skills: Influence of ASL, Culture, Family Characteristics, Reading Experience, and Education. American annals of the deaf. 155(4). 449–457. 16 indexed citations
16.
Dye, Matthew, Peter C. Hauser, & Daphné Bavelier. (2009). Is Visual Selective Attention in Deaf Individuals Enhanced or Deficient? The Case of the Useful Field of View. PLoS ONE. 4(5). e5640–e5640. 117 indexed citations
17.
Hauser, Peter C., et al.. (2008). Deaf Professionals and Designated Interpreters: A New Paradigm. Project Muse (Johns Hopkins University). 29 indexed citations
18.
Marschark, Marc & Peter C. Hauser. (2008). Deaf cognition : foundations and outcomes. Oxford University Press eBooks. 176 indexed citations
19.
Suba, Zsuzsanna, Peter C. Hauser, Miklós Garami, et al.. (2007). Skull base chordoma mimicking a preauricular neoplasm in a child: Clinicopathological features and biological behaviour. Journal of Cranio-Maxillofacial Surgery. 35(1). 35–38.
20.
Bavelier, Daphné, Matthew Dye, & Peter C. Hauser. (2006). Do deaf individuals see better?. Trends in Cognitive Sciences. 10(11). 512–518. 370 indexed citations

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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