Neal Snider

2.2k total citations
15 papers, 1000 citations indexed

About

Neal Snider is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Language and Linguistics. According to data from OpenAlex, Neal Snider has authored 15 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Cognitive Neuroscience and 5 papers in Language and Linguistics. Recurrent topics in Neal Snider's work include Neurobiology of Language and Bilingualism (8 papers), Syntax, Semantics, Linguistic Variation (5 papers) and Natural Language Processing Techniques (5 papers). Neal Snider is often cited by papers focused on Neurobiology of Language and Bilingualism (8 papers), Syntax, Semantics, Linguistic Variation (5 papers) and Natural Language Processing Techniques (5 papers). Neal Snider collaborates with scholars based in United States, United Kingdom and Netherlands. Neal Snider's co-authors include Inbal Arnon, T. Florian Jaeger, T. Florian Jaeger, Ivan A. Sag, Philip Hofmeister, Joan Bresnan, Harry Tily, Susanne Gahl, Meliha Yetişgen and Wen-wai Yim and has published in prestigious journals such as Cognition, Journal of Memory and Language and Scientific Data.

In The Last Decade

Neal Snider

15 papers receiving 937 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neal Snider United States 9 554 542 396 340 276 15 1000
Randall Hendrick United States 14 733 1.3× 609 1.1× 349 0.9× 260 0.8× 245 0.9× 26 1.0k
Daniel Grodner United States 11 658 1.2× 483 0.9× 396 1.0× 292 0.9× 330 1.2× 19 1.0k
Katy Carlson United States 13 495 0.9× 365 0.7× 330 0.8× 175 0.5× 535 1.9× 34 848
Itziar Laka Spain 18 605 1.1× 579 1.1× 726 1.8× 318 0.9× 343 1.2× 64 1.4k
Diogo Almeida United States 13 385 0.7× 231 0.4× 284 0.7× 168 0.5× 214 0.8× 27 695
Angeliek van Hout Netherlands 14 264 0.5× 410 0.8× 366 0.9× 124 0.4× 206 0.7× 61 696
Daniel Freudenthal United Kingdom 14 296 0.5× 482 0.9× 168 0.4× 193 0.6× 165 0.6× 34 652
Cecile McKee United States 10 299 0.5× 515 1.0× 366 0.9× 102 0.3× 132 0.5× 29 704
Andrew Barss United States 5 621 1.1× 519 1.0× 299 0.8× 142 0.4× 204 0.7× 6 902
I.M. Krämer Netherlands 6 226 0.4× 259 0.5× 304 0.8× 164 0.5× 179 0.6× 11 598

Countries citing papers authored by Neal Snider

Since Specialization
Citations

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

Fields of papers citing papers by Neal Snider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neal Snider

This figure shows the co-authorship network connecting the top 25 collaborators of Neal Snider. A scholar is included among the top collaborators of Neal Snider 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 Neal Snider. Neal Snider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
2.
Yim, Wen-wai, et al.. (2023). Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation. Scientific Data. 10(1). 586–586. 26 indexed citations
3.
Wiechmann, Daniel, Elma Kerz, Neal Snider, & T. Florian Jaeger. (2013). Introduction to the Special Issue: Parsimony and Redundancy in Models of Language. Language and Speech. 56(3). 257–264. 8 indexed citations
4.
5.
Hofmeister, Philip, T. Florian Jaeger, Inbal Arnon, Ivan A. Sag, & Neal Snider. (2011). The source ambiguity problem: Distinguishing the effects of grammar and processing on acceptability judgments. Language and Cognitive Processes. 28(1-2). 48–87. 71 indexed citations
6.
Snider, Neal, Niels Taatgen, & Hedderik van Rijn. (2009). Similarity and structural priming. eScholarship (California Digital Library). 31(31). 14 indexed citations
7.
Arnon, Inbal & Neal Snider. (2009). More than words: Frequency effects for multi-word phrases. Journal of Memory and Language. 62(1). 67–82. 372 indexed citations
8.
Tily, Harry, et al.. (2009). Syntactic probabilities affect pronunciation variation in spontaneous speech. Language and Cognition. 1(2). 147–165. 72 indexed citations
9.
Snider, Neal. (2008). An exemplar model of syntactic priming. 13 indexed citations
10.
Gahl, Susanne, et al.. (2008). Syntactic Probabilities Affect Pronunciation Variation in Spontaneous Speech. 4. 1 indexed citations
11.
Strunk, Jan, et al.. (2008). Extraposition without Subjacency. 2 indexed citations
12.
Sag, Ivan A., Philip Hofmeister, & Neal Snider. (2007). Processing Complexity in Subjacency Violations: The Complex Noun Phrase Constraint. 22 indexed citations
13.
Jaeger, T. Florian & Neal Snider. (2007). Implicit Learning and Syntactic Persistence: Surprisal and Cumulativity. 97 indexed citations
14.
Snider, Neal & Mona Diab. (2006). Unsupervised induction of modern standard Arabic verb classes. Columbia Academic Commons (Columbia University). 153–156. 5 indexed citations
15.
Snider, Neal & Mona Diab. (2006). Unsupervised induction of modern standard Arabic verb classes using syntactic frames and LSA. 795–802. 4 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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