Jesse Egbert

3.5k total citations
69 papers, 1.3k citations indexed

About

Jesse Egbert is a scholar working on Artificial Intelligence, Literature and Literary Theory and Language and Linguistics. According to data from OpenAlex, Jesse Egbert has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 26 papers in Literature and Literary Theory and 21 papers in Language and Linguistics. Recurrent topics in Jesse Egbert's work include Natural Language Processing Techniques (27 papers), Discourse Analysis in Language Studies (24 papers) and Second Language Acquisition and Learning (16 papers). Jesse Egbert is often cited by papers focused on Natural Language Processing Techniques (27 papers), Discourse Analysis in Language Studies (24 papers) and Second Language Acquisition and Learning (16 papers). Jesse Egbert collaborates with scholars based in United States, United Kingdom and Finland. Jesse Egbert's co-authors include Douglas Biber, Shelley Staples, Bethany Gray, Luke Plonsky, Geoffrey T. LaFlair, Mark Davies, Tove Larsson, Daniel Keller, Marco Aurélio Gerosa and Ana Paula Chaves and has published in prestigious journals such as Modern Language Journal, Language Learning and Applied Linguistics.

In The Last Decade

Jesse Egbert

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesse Egbert United States 21 608 601 512 507 188 69 1.3k
Hilary Nesi United Kingdom 23 844 1.4× 515 0.9× 997 1.9× 715 1.4× 88 0.5× 88 1.7k
Michael Hoey United Kingdom 12 672 1.1× 466 0.8× 852 1.7× 443 0.9× 123 0.7× 22 1.6k
Bethany Gray United States 19 1.3k 2.1× 792 1.3× 945 1.8× 1.2k 2.3× 168 0.9× 34 2.1k
Randi Reppen United States 18 1.1k 1.8× 742 1.2× 1.4k 2.6× 870 1.7× 304 1.6× 55 2.5k
Václav Březina United Kingdom 15 324 0.5× 521 0.9× 611 1.2× 555 1.1× 123 0.7× 42 1.2k
Thomas A. Upton United States 15 662 1.1× 146 0.2× 626 1.2× 407 0.8× 91 0.5× 24 1.2k
David Coniam Hong Kong 17 328 0.5× 367 0.6× 475 0.9× 386 0.8× 52 0.3× 87 1.3k
Paula Winke United States 24 601 1.0× 150 0.2× 1.3k 2.5× 662 1.3× 222 1.2× 69 1.9k
Christopher Tribble United Kingdom 8 357 0.6× 196 0.3× 307 0.6× 212 0.4× 59 0.3× 11 757
Pavel Rychlý Czechia 15 255 0.4× 1.3k 2.2× 982 1.9× 261 0.5× 88 0.5× 46 2.1k

Countries citing papers authored by Jesse Egbert

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Egbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesse Egbert

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse Egbert. A scholar is included among the top collaborators of Jesse Egbert 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 Jesse Egbert. Jesse Egbert 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.
Egbert, Jesse, Douglas Biber, Bethany Gray, & Tove Larsson. (2025). Achieving stability in corpus-based analysis of word types. International Journal of Corpus Linguistics. 30(2). 150–170.
2.
3.
Egbert, Jesse, et al.. (2024). The contracts word list: Integral vocabulary for reading and writing English contracts. English for Specific Purposes. 75. 37–48. 2 indexed citations
4.
Egbert, Jesse & Margaret Wood. (2023). The corpus of United States state statutes—design, construction and use. 3(2). 100047–100047. 2 indexed citations
5.
Tobia, Kevin, Jesse Egbert, & Thomas R. Lee. (2023). Triangulating Ordinary Meaning. SSRN Electronic Journal. 2 indexed citations
6.
Solum, Lawrence B., et al.. (2023). Corpus Linguistics and the Original Public Meaning of the Sixteenth Amendment. SSRN Electronic Journal.
7.
Biber, Douglas & Jesse Egbert. (2023). What is a register?. 5(1). 1–22. 7 indexed citations
8.
McEnery, Tony, et al.. (2023). Swearing, discourse and function in conversational British English. Journal of Pragmatics. 213. 36–48. 2 indexed citations
9.
Laippala, Veronika, et al.. (2022). Register identification from the unrestricted open Web using the Corpus of Online Registers of English. Language Resources and Evaluation. 57(3). 1045–1079. 3 indexed citations
10.
Larsson, Tove, Jesse Egbert, & Douglas Biber. (2022). On the status of statistical reporting versus linguistic description in corpus linguistics: a ten-year perspective. Corpora. 17(1). 137–157. 18 indexed citations
11.
Laippala, Veronika, et al.. (2021). Exploring the role of lexis and grammar for the stable identification of register in an unrestricted corpus of web documents. Language Resources and Evaluation. 55(3). 757–788. 7 indexed citations
12.
Biber, Douglas, et al.. (2020). Towards a taxonomy of conversational discourse types: An empirical corpus-based analysis. Journal of Pragmatics. 171. 20–35. 25 indexed citations
13.
Egbert, Jesse, et al.. (2019). Scientific Methods for Analyzing Original Meaning: Corpus Linguistics and the Emoluments Clauses. SSRN Electronic Journal.
14.
Egbert, Jesse, et al.. (2019). Zero-inflated beta distribution applied to word frequency and lexical dispersion in corpus linguistics. Journal of Applied Statistics. 47(2). 337–353. 4 indexed citations
15.
Wood, Margaret, et al.. (2019). "Questions Involving National Peace and Harmony" or "Injured Plaintiff Litigation"? The Original Meaning of "Cases" in Article III of the Constitution. Lancaster EPrints (Lancaster University). 36(5). 535. 5 indexed citations
16.
Egbert, Jesse, et al.. (2019). More Than Frequency? Exploring Predictors of Word Difficulty for Second Language Learners. Language Learning. 69(4). 839–872. 39 indexed citations
17.
Egbert, Jesse, et al.. (2017). Advancing Law and Corpus Linguistics: Importing Principles and Practices from Survey and Content Analysis Methodologies to Improve Corpus Design and Analysis. Brigham Young University law review. 2017(6). 1589–1619. 3 indexed citations
18.
Staples, Shelley, Geoffrey T. LaFlair, & Jesse Egbert. (2017). Comparing Language Use in Oral Proficiency Interviews to Target Domains: Conversational, Academic, and Professional Discourse. Modern Language Journal. 101(1). 194–213. 18 indexed citations
19.
Egbert, Jesse. (2016). Linguistic variation in research articles: When discipline tells only part of the story. English for Specific Purposes. 44. 86–87. 33 indexed citations
20.
Biber, Douglas & Jesse Egbert. (2016). Using Multi-Dimensional Analysis to Study Register Variation on the Searchable Web. 2. 1–23. 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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