Evidence for complex, collective dynamics and emergent, distributed computation in plants. - David Peak; Jevin D. West; Susanna M. Messinger; Keith A. Mott (Proc. Natl. Acad. Sci. USA, 2004)

Differences in impact factor across fields and over time. - Benjamin M. Althouse; Jevin D. West; Carl T. Bergstrom; Theodore C. Bergstrom (J. Assoc. Inf. Sci. Technol., 2009)

The Eigenfactor MetricsTM: A Network Approach to Assessing Scholarly Journals. - Jevin D. West; Theodore C. Bergstrom; Carl T. Bergstrom (Coll. Res. Libr., 2010)

Big Macs and Eigenfactor scores: Don't let correlation coefficients fool you. - Jevin D. West; Theodore C. Bergstrom; Carl T. Bergstrom (J. Assoc. Inf. Sci. Technol., 2010)

Response to "Big Macs and Eigenfactor scores: The correlation conundrum". - Jevin D. West; Theodore C. Bergstrom; Carl T. Bergstrom (J. Assoc. Inf. Sci. Technol., 2010)

The role of gender in scholarly authorship - Jevin D. West; Jennifer Jacquet; Molly M. King; Shelley J. Correll; Carl T. Bergstrom (CoRR, 2012)

The Temporal dimension in the study of knowledge bases: Approaches to understanding knowledge creation and representation over time. - Melissa A. Adler; Joseph T. Tennis; Stasa Milojevic; Seth van Hooland; Corinne Rogers; Jevin D. West (ASIST, 2013)

Scalable Flow-Based Community Detection for Large-Scale Network Analysis. - Seung-Hee Bae; Daniel Halperin; Jevin D. West; Martin Rosvall; Bill Howe (ICDM Workshops, 2013)

Hoptrees: Branching History Navigation for Hierarchies. - Michael Brooks; Jevin D. West; Cecilia R. Aragon; Carl T. Bergstrom (INTERACT (3), 2013)

Networks with Memory - Martin Rosvall; Alcides Viamontes Esquivel; Andrea Lancichinetti; Jevin D. West; Renaud Lambiotte (CoRR, 2013)

Author-level Eigenfactor metrics: Evaluating the influence of authors, institutions, and countries within the social science research network community. - Jevin D. West; Michael C. Jensen; Ralph J. Dandrea; Gregory J. Gordon; Carl T. Bergstrom (J. Assoc. Inf. Sci. Technol., 2013)

Curation and policy issues in collaborative research data management communities: Perspectives from key stakeholders. - Michael Luesebrink; Hong Huang; Kristin Bogdan; Dorothea Salo; Charles Thomas 006; Jevin West; Lizabeth (Betsy) Wilson (ASIST, 2014)

Theory Identity: A Machine-Learning Approach. - Kai R. Larsen; Dirk S. Hovorka; Jevin West; James R. Birt; James R. Pfaff; Trevor W. Chambers; Zebula R. Sampedro; Nick Zager; Bruce J. Vanstone (HICSS, 2014)

An Experimental Platform for Scholarly Article Recommendation. - Ian Wesley-Smith; Ralph J. Dandrea; Jevin D. West (BIR@ECIR, 2015)

Delineating Fields Using Mathematical Jargon. - Jevin D. West; Jason Portenoy (BIRNDL@JCDL, 2016)

VizioMetrix: A Platform for Analyzing the Visual Information in Big Scholarly Data. - Po-Shen Lee; Jevin D. West; Bill Howe (WWW (Companion Volume), 2016)

Babel: A Platform for Facilitating Research in Scholarly Article Discovery. - Ian Wesley-Smith; Jevin D. West (WWW (Companion Volume), 2016)

Predicting Student Dropout in Higher Education. - Lovenoor S. Aulck; Nishant Velagapudi; Joshua Blumenstock; Jevin West (CoRR, 2016)

Men set their own cites high: Gender and self-citation across fields and over time. - Molly M. King; Carl T. Bergstrom; Shelley J. Correll; Jennifer Jacquet; Jevin D. West (CoRR, 2016)

Static Ranking of Scholarly Papers using Article-Level Eigenfactor (ALEF). - Ian Wesley-Smith; Carl T. Bergstrom; Jevin D. West (CoRR, 2016)

A Recommendation System Based on Hierarchical Clustering of an Article-Level Citation Network. - Jevin D. West; Ian Wesley-Smith; Carl T. Bergstrom (IEEE Trans. Big Data, 2016)

Making a case for open research: Implications for reproducibility and transparency. - Heather Moulaison Sandy; Erik Mitchell; Edward M. Corrado; John M. Budd; Jevin D. West; Jenny S. Bossaller; Amy VanScoy (ASIST, 2017)

Improved adaptation in exogenously and endogenously changing environments. - Joshua R. Nahum; Jevin West; Benjamin M. Althouse; Luis Zaman; Charles Ofria; Benjamin Kerr (ECAL, 2017)

PhyloParser: A Hybrid Algorithm for Extracting Phylogenies from Dendrograms. - Po-Shen Lee; Sean T. Yang; Jevin D. West; Bill Howe (ICDAR, 2017)

Deep Mapping of the Visual Literature. - Bill Howe; Po-Shen Lee; Maxim Grechkin; Sean T. Yang; Jevin D. West (WWW (Companion Volume), 2017)

Visualizing Scholarly Publications and Citations to Enhance Author Profiles. - Jason Portenoy; Jevin D. West (WWW (Companion Volume), 2017)

Stem-ming the Tide: Predicting STEM attrition using student transcript data. - Lovenoor S. Aulck; Rohan Aras; Lysia Li; Coulter L'Heureux; Peter Lu; Jevin West (CoRR, 2017)

Leveraging Citation Networks to Visualize Scholarly Influence Over Time. - Jason Portenoy; Jessica Hullman; Jevin D. West (Frontiers Res. Metrics Anal., 2017)

Toward the operationalization of visual metaphor. - Alexis Hiniker; Sungsoo (Ray) Hong; Yea-Seul Kim; Nan-Chen Chen; Jevin D. West; Cecilia R. Aragon (J. Assoc. Inf. Sci. Technol., 2017)

Scalable and Efficient Flow-Based Community Detection for Large-Scale Graph Analysis. - Seung-Hee Bae; Daniel Halperin; Jevin D. West; Martin Rosvall; Bill Howe (ACM Trans. Knowl. Discov. Data, 2017)

Chromatic Structure and Family Resemblance in Large Art Collections - Exemplary Quantification and Visualizations. - Loan T. Tran; Kelly Park; Po-Shen Lee; Jevin West; Maximilian Schich (DH, 2018)

JCDL 2018 Workshop Proposal - Image Collections: Creation, Organization, Access, and Use. - Wei Lu 019; Jevin West; Brian C. O'Connor; Krystyna K. Matusiak; Qinghua Zhu 002; Jason Lu; Jiangping Chen (JCDL, 2018)

Is together better? Examining scientific collaborations across multiple authors, institutions, and departments. - Lovenoor S. Aulck; Kishore Vasan; Jevin West (CoRR, 2018)

Why scatter plots suggest causality, and what we can do about it. - Carl T. Bergstrom; Jevin D. West (CoRR, 2018)

Measuring scientific buzz. - Kishore Vasan; Jevin West (CoRR, 2018)

Estimating article influence scores for open access journals. - Bree Norlander; Peter Li; Jevin D. West (PeerJ Prepr., 2018)

Viziometrics: Analyzing Visual Information in the Scientific Literature. - Po-Shen Lee; Jevin D. West; Bill Howe (IEEE Trans. Big Data, 2018)

Mining University Registrar Records to Predict First-Year Undergraduate Attrition. - Lovenoor S. Aulck; Dev Nambi; Nishant Velagapudi; Joshua Blumenstock; Jevin West (EDM, 2019)

Identifying the Central Figure of a Scientific Paper. - Sean T. Yang; Po-Shen Lee; Lia Kazakova; Abhishek Joshi; Bum Mook Oh; Jevin D. West; Bill Howe (ICDAR, 2019)

Supervised Learning for Automated Literature Review. - Jason Portenoy; Jevin D. West (BIRNDL@SIGIR, 2019)

The Demography of the Peripatetic Researcher: Evidence on Highly Mobile Scholars from the Web of Science. - Samin Aref; Emilio Zagheni; Jevin West (SocInfo, 2019)

GraviTIE: Exploratory Analysis of Large-Scale Heterogeneous Image Collections. - Sean T. Yang; Luke Rodriguez; Jevin D. West; Bill Howe (WWW, 2019)

Delineating Knowledge Domains in the Scientific Literature Using Visual Information. - Sean T. Yang; Po-Shen Lee; Jevin D. West; Bill Howe (CoRR, 2019)

Understanding the Elephant: The Discourse Approach to Boundary Identification and Corpus Construction for Theory Review Articles. - Kai R. Larsen; Dirk Hovorka; Alan R. Dennis; Jevin D. West (J. Assoc. Inf. Syst., 2019)

Increasing Enrollment by Optimizing Scholarship Allocations Using Machine Learning and Genetic Algorithms. - Lovenoor S. Aulck; Dev Nambi; Jevin West (EDM, 2020)

SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. - Tom Hope; Jason Portenoy; Kishore Vasan; Jonathan Borchardt; Eric Horvitz; Daniel S. Weld; Marti A. Hearst; Jevin West (EMNLP (Demos), 2020)

Social Media COVID-19 Misinformation Interventions Viewed Positively, But Have Limited Impact. - Christine Geeng; Tiona Francisco; Jevin West; Franziska Roesner (CoRR, 2020)

Scientific journals still matter in the era of academic search engines and preprint archives. - Lanu Kim; Jason Portenoy; Jevin D. West; Katherine Stovel (J. Assoc. Inf. Sci. Technol., 2020)

Constructing and evaluating automated literature review systems. - Jason Portenoy; Jevin D. West (Scientometrics, 2020)

Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery. - Jason Portenoy; Marissa Radensky; Jevin West; Eric Horvitz; Daniel S. Weld; Tom Hope (CoRR, 2021)

Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery. - Jason Portenoy; Marissa Radensky; Jevin D. West; Eric Horvitz; Daniel S. Weld; Tom Hope (CHI, 2022)

Response: Emergent analogical reasoning in large language models. - Damian Hodel; Jevin West (CoRR, 2023)

How should the advent of large language models affect the practice of science? - Marcel Binz; Stephan Alaniz; Adina Roskies; Balazs Aczel; Carl T. Bergstrom; Colin Allen; Daniel Schad; Dirk U. Wulff; Jevin D. West; Qiong Zhang; Richard M. Shiffrin; Samuel J. Gershman; et al. (CoRR, 2023)

Mobilizing Manufactured Reality: How Participatory Disinformation Shaped Deep Stories to Catalyze Action during the 2020 U.S. Presidential Election. - Stephen Prochaska; Kayla Duskin; Zarine Kharazian; Carly Minow; Stephanie Blucker; Sylvie Venuto; Jevin D. West; Kate Starbird (Proc. ACM Hum. Comput. Interact., 2023)

LLM Chain Ensembles for Scalable and Accurate Data Annotation. - David Farr; Nico Manzonelli; Iain Cruickshank; Kate Starbird; Jevin West (IEEE Big Data, 2024)

Echo Chambers in the Age of Algorithms: An Audit of Twitter's Friend Recommender System. - Kayla Duskin; Joseph S. Schafer; Jevin D. West; Emma S. Spiro (WebSci, 2024)

Search Engines Post-ChatGPT: How Generative Artificial Intelligence Could Make Search Less Reliable. - Shahan Ali Memon; Jevin D. West (CoRR, 2024)

RIP Twitter API: A eulogy to its vast research contributions. - Ryan Murtfeldt; Naomi Alterman; Ihsan Kahveci; Jevin D. West (CoRR, 2024)

Disagreement as a way to study misinformation and its effects. - Damian Hodel; Jevin West (CoRR, 2024)

RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Classifiers for Computational Social Science. - David Farr; Nico Manzonelli; Iain Cruickshank; Jevin West (CoRR, 2024)

LLM Confidence Evaluation Measures in Zero-Shot CSS Classification. - David Farr; Iain Cruickshank; Nico Manzonelli; Nicholas Clark; Kate Starbird; Jevin West (CoRR, 2024)

RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers. - David Farr; Nico Manzonelli; Iain Cruickshank; Jevin West (COLING (Industry), 2025)

Ensemble-Based Uncertainty Quantification for Reliable Large Language Model Classification in Social Data Applications. - David Farr; Lynnette Hui Xian Ng; Iain J. Cruickshank; Nico Manzonelli; Nicholas Clark; Kate Starbird; Nathaniel D. Bastian; Jevin West (IEEE Access, 2025)

Insights from Network Science can advance Deep Graph Learning. - Christopher Blöcker; Martin Rosvall; Ingo Scholtes; Jevin D. West (CoRR, 2025)

From job titles to jawlines: Using context voids to study generative AI systems. - Shahan Ali Memon; Soham De; Sungha Kang; Riyan Mujtaba; Bedoor K. AlShebli; Katie Davis 001; Jaime Snyder; Jevin D. West (CoRR, 2025)

Are Widely Known Findings Easier to Retract? - Shahan Ali Memon; Jevin D. West; Brian C. O'Connor (CoRR, 2025)

Expert-in-the-Loop Systems with Cross-Domain and In-Domain Few-Shot Learning for Software Vulnerability Detection. - David Farr; Kevin Talty; Alexandra Farr; John Stockdale; Iain Cruickshank; Jevin West (CoRR, 2025)