Most cited papers in Computational and Text Analysis Methods
What are the most cited papers in Computational and Text Analysis Methods?
The most cited paper in Computational and Text Analysis Methods is "Techniques to Identify Themes" (Gery W. Ryan, H. Russell Bernard, 2003), with 5,495 citations. Next come "Answering the Call for a Standard Reliability Measure for Coding Data" (4,263) and "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts" (3,332).
Showing 50 of 100 papers. Every paper with more than 339 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Techniques to Identify Themes Gery W. Ryan, H. Russell Bernard · Field Methods | Feb 2003 | 5,495 |
| 2 | Answering the Call for a Standard Reliability Measure for Coding Data Andrew F. Hayes, Klaus Krippendorff · Communication Methods and Measures | Apr 2007 | 4,263 |
| 3 | Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts Justin Grimmer, Brandon Stewart · Political Analysis | 2013 | 3,332 |
| 4 | Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability Matthew Lombard, Jennifer Snyder‐Duch, Cheryl Campanella Bracken · Human Communication Research | Oct 2002 | 2,961 |
| 5 | Big Data, new epistemologies and paradigm shifts Rob Kitchin · Big Data & Society | Apr 2014 | 2,346 |
| 6 | Structural Topic Models for Open‐Ended Survey Responses Margaret E. Roberts, Brandon Stewart, Dustin H. Tingley et al. · American Journal of Political Science | 6 Mar 2014 | 2,007 |
| 7 | dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering Tal Galili · Bioinformatics | 23 Jul 2015 | 1,988 |
| 8 | Reliability of Content Analysis: The Case of Nominal Scale Coding William Abbott Scott · Public Opinion Quarterly | 1955 | 1,859 |
| 9 | mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer Linting Xue, Noah Constant, Adam Paul Roberts et al. | 2021 | 1,638 |
| 10 | Text Summarization with Pretrained Encoders Yang Liu, Mirella Lapata | 2019 | 1,635 |
| 11 | Flexible Coding of In-depth Interviews: A Twenty-first-century Approach Nicole M. Deterding, Mary C. Waters · Sociological Methods & Research | Oct 2018 | 1,612 |
| 12 | stm : An R Package for Structural Topic Models Margaret E. Roberts, Brandon Stewart, Dustin H. Tingley · Journal of Statistical Software | 2019 | 1,593 |
| 13 | Supervised Topic Models David M. Blei, Jon McAuliffe · arXiv (Cornell University) | 3 Mar 2010 | 1,305 |
| 14 | Qualitative Content Analysis: A Guide to Paths not Taken David L. Morgan · Qualitative Health Research | Feb 1993 | 1,285 |
| 15 | Text as Data Matthew Aaron Gentzkow, Bryan P. Kelly, Matt A. Taddy · Journal of Economic Literature | Sep 2019 | 1,251 |
| 16 | Writing Narrative Literature Reviews Roy Frederick Baumeister, Mark R. Leary · Review of General Psychology | Sep 1997 | 1,234 |
| 17 | Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of U.S. government arts funding Paul DiMaggio, Manish Nag, David M. Blei · Poetics | 8 Nov 2013 | 1,161 |
| 18 | A correlated topic model of Science David M. Blei, John Lafferty | 2018 | 1,137 |
| 19 | Ten Steps in Scale Development and Reporting: A Guide for Researchers Serena Carpenter · Communication Methods and Measures | 22 Nov 2017 | 1,136 |
| 20 | Word embeddings quantify 100 years of gender and ethnic stereotypes Nikhil Garg, Londa L. Schiebinger, Dan Jurafsky et al. · Proceedings of the National Academy of Sciences | 3 Apr 2018 | 1,113 |
| 21 | Topic modeling Hanna Wallach | 2006 | 1,075 |
| 22 | Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning Jeff Heaton · Genetic Programming and Evolvable Machines | 29 Oct 2017 | 1,056 |
| 23 | Eta Squared, Partial Eta Squared, and Misreporting of Effect Size in Communication Research Timothy R. Levine, Craig R. Hullett · Human Communication Research | Oct 2002 | 982 |
| 24 | A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts Roman Egger, Joanne Yu · Frontiers in Sociology | 6 May 2022 | 978 |
| 25 | Sequence Analysis and Optimal Matching Methods in Sociology Andrew Abbott, Angela Tsay · Sociological Methods & Research | Aug 2000 | 933 |
| 26 | Correlated Topic Models John Lafferty, David M. Blei · Neural Information Processing Systems | 5 Dec 2005 | 923 |
| 27 | The evolution of 10-K textual disclosure: Evidence from Latent Dirichlet Allocation Travis A. Dyer, Mark H. Lang, Lorien Stice‐Lawrence · Journal of Accounting and Economics | 8 Sep 2017 | 893 |
| 28 | Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology Daniel Maier, Annie Waldherr, Peter Miltner et al. · Communication Methods and Measures | 16 Feb 2018 | 844 |
| 29 | A Summary of a Convenient Vocabulary for the Semiotics of Human and Nonhuman Assemblies Madeleine Akrich, Bruno Latour · HAL (Le Centre pour la Communication Scientifique Directe) | 1992 | 834 |
| 30 | Neural Networks: Tricks of the Trade Genevieve Orr, Müller, Klaus-Robert · Lecture notes in computer science | 1998 | 819 |
| 31 | A Method of Automated Nonparametric Content Analysis for Social Science Daniel J. Hopkins, Gary King · American Journal of Political Science | 28 Dec 2009 | 782 |
| 32 | Should I Use Fixed or Random Effects? Tom S Clark, Drew A. Linzer · Political Science Research and Methods | 21 Nov 2014 | 770 |
| 33 | Toward a new horizon in information science: Domain-analysis Birger Hjørland, Hanne Albrechtsen · Journal of the American Society for Information Science | Jul 1995 | 761 |
| 34 | A Model of Text for Experimentation in the Social Sciences Margaret E. Roberts, Brandon Stewart, Edoardo M. Airoldi · Journal of the American Statistical Association | 11 Feb 2016 | 751 |
| 35 | Explaining the evidence: Tests of the Story Model for juror decision making. Nancy Pennington, Reid Hastie · Journal of Personality and Social Psychology | Feb 1992 | 737 |
| 36 | Inductive content analysis: A guide for beginning qualitative researchers Danya F. Vears, Lynn H. Gillam · Focus on Health Professional Education A Multi-Professional Journal | 31 Mar 2022 | 736 |
| 37 | A review of topic modeling methods Ike Vayansky, Sathish Kumar · Information Systems | 18 Jun 2020 | 727 |
| 38 | Computational Grounded Theory: A Methodological Framework Laura K. Nelson · Sociological Methods & Research | 21 Nov 2017 | 714 |
| 39 | Out of One, Many: Using Language Models to Simulate Human Samples Lisa P. Argyle, Ethan C. Busby, Nancy Fulda et al. · Political Analysis | 21 Feb 2023 | 711 |
| 40 | The ecological validity of jury simulations: Is the jury still out? Brian H. Bornstein · Law and Human Behavior | Feb 1999 | 695 |
| 41 | A Scaling Model for Estimating Time‐Series Party Positions from Texts Jonathan B. Slapin, Sven‐Oliver Proksch · American Journal of Political Science | Jul 2008 | 692 |
| 42 | How to Analyze Political Attention with Minimal Assumptions and Costs Kevin M. Quinn, Burt L. Monroe, Michael P. Colaresi et al. · American Journal of Political Science | 28 Dec 2009 | 681 |
| 43 | Scaling Policy Preferences from Coded Political Texts Will Lowe, Kenneth R. Benoit, Slava Mikhaylov et al. · Legislative Studies Quarterly | Feb 2011 | 650 |
| 44 | Specification curve analysis Uri Simonsohn, Joseph P. Simmons, Leif D. Nelson · Nature Human Behaviour | 27 Jul 2020 | 640 |
| 45 | Topic Modeling in Management Research: Rendering New Theory from Textual Data Timothy R. Hannigan, Richard Franciscus Johannes Haans, Keyvan Vakili et al. · Academy of Management Annals | May 2019 | 625 |
| 46 | Predicting crime using Twitter and kernel density estimation Matthew S. Gerber · Decision Support Systems | 22 Feb 2014 | 592 |
| 47 | Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality Jey Han Lau, David J. Newman, Timothy J. Baldwin | 2014 | 591 |
| 48 | Beyond prediction: Using big data for policy problems Susan Carleton Athey · Science | 2 Feb 2017 | 585 |
| 49 | A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases Justin Grimmer · Political Analysis | 4 Dec 2009 | 565 |
| 50 | The evolution of sentiment analysis—A review of research topics, venues, and top cited papers Mika V. Mäntylä, Daniel Graziotin, Miikka Kuutila · Computer Science Review | 21 Nov 2017 | 558 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.