Steven Bedrick

2.3k total citations
64 papers, 978 citations indexed

About

Steven Bedrick is a scholar working on Artificial Intelligence, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Steven Bedrick has authored 64 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 20 papers in Molecular Biology and 19 papers in Cognitive Neuroscience. Recurrent topics in Steven Bedrick's work include Biomedical Text Mining and Ontologies (18 papers), Topic Modeling (15 papers) and Neurobiology of Language and Bilingualism (9 papers). Steven Bedrick is often cited by papers focused on Biomedical Text Mining and Ontologies (18 papers), Topic Modeling (15 papers) and Neurobiology of Language and Bilingualism (9 papers). Steven Bedrick collaborates with scholars based in United States, Switzerland and Netherlands. Steven Bedrick's co-authors include William Hersh, Kyle Gorman, Jayashree Kalpathy–Cramer, Dina Demner‐Fushman, Henning Müller, Alba García Seco de Herrera, Ellen M. Voorhees, Kirk Roberts, Michael V. Danilchik and Elizabeth E. Brown and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Cell Science.

In The Last Decade

Steven Bedrick

60 papers receiving 912 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Bedrick United States 17 406 250 181 129 124 64 978
Rebecca S. Crowley United States 28 682 1.7× 470 1.9× 61 0.3× 34 0.3× 110 0.9× 68 2.0k
Yungui Huang United States 17 206 0.5× 358 1.4× 20 0.1× 141 1.1× 59 0.5× 72 1.1k
Bernard Gibaud France 18 186 0.5× 154 0.6× 288 1.6× 158 1.2× 28 0.2× 94 1.1k
Xiaohang Wu China 22 121 0.3× 224 0.9× 107 0.6× 47 0.4× 331 2.7× 76 1.9k
Wei‐Hung Weng United States 14 1.1k 2.6× 419 1.7× 130 0.7× 13 0.1× 61 0.5× 25 1.6k
Amos Folarin United Kingdom 18 160 0.4× 291 1.2× 31 0.2× 66 0.5× 68 0.5× 57 1.2k
Mikhail Milchenko United States 10 467 1.2× 39 0.2× 76 0.4× 193 1.5× 37 0.3× 23 1.1k
Alastair G. Gale United Kingdom 19 241 0.6× 42 0.2× 248 1.4× 393 3.0× 34 0.3× 101 1.4k
Stephan Jonas Germany 17 80 0.2× 80 0.3× 126 0.7× 99 0.8× 30 0.2× 70 820
Ashwin Belle United States 12 122 0.3× 32 0.1× 49 0.3× 91 0.7× 46 0.4× 28 643

Countries citing papers authored by Steven Bedrick

Since Specialization
Citations

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

Fields of papers citing papers by Steven Bedrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Bedrick

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Bedrick. A scholar is included among the top collaborators of Steven Bedrick 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 Steven Bedrick. Steven Bedrick 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.
Meckler, Garth, Matthew Hansen, Carl Eriksson, et al.. (2025). A medically grounded LLM agent–based tool to detect patient safety events in medical records. medRxiv.
2.
Bedrick, Steven, et al.. (2025). Consensus recommendations for usability and acceptability of mobile health autism screening tools. Autism. 29(12). 3100–3110. 1 indexed citations
3.
Fergadiotis, Gerasimos, et al.. (2023). Automating Intended Target Identification for Paraphasias in Discourse Using a Large Language Model. Journal of Speech Language and Hearing Research. 66(12). 4949–4966. 6 indexed citations
4.
Bedrick, Steven, Jack Wiedrick, Lizbeth H. Finestack, et al.. (2023). Consistency and reliability of automated language measures across expressive language samples in autism. Autism Research. 16(4). 802–816. 3 indexed citations
5.
Klee, Daniel, Betts Peters, Jack Wiedrick, et al.. (2022). Methodology and preliminary data on feasibility of a neurofeedback protocol to improve visual attention to letters in mild Alzheimer's disease. Contemporary Clinical Trials Communications. 28. 100950–100950. 6 indexed citations
6.
Bedrick, Steven, et al.. (2021). A Pseudo-Value Approach to Analyze the Semantic Similarity of the Speech of Children With and Without Autism Spectrum Disorder. Frontiers in Psychology. 12. 668344–668344. 7 indexed citations
7.
Bedrick, Steven, Aaron Cohen, Yanshan Wang, et al.. (2020). Evaluation of patient-level retrieval from electronic health record data for a cohort discovery task. JAMIA Open. 3(3). 395–404. 5 indexed citations
8.
Roberts, Kirk, et al.. (2020). Addressing the Search Challenges of Precision Medicine with Information Retrieval Systems and Physician Readers. Studies in health technology and informatics. 270. 813–817. 1 indexed citations
9.
Cohen, Aaron, Thomas G. DeLoughery, Michelle Nguyen, et al.. (2020). Detecting rare diseases in electronic health records using machine learning and knowledge engineering: Case study of acute hepatic porphyria. PLoS ONE. 15(7). e0235574–e0235574. 33 indexed citations
10.
Liu, Sijia, Yanshan Wang, Andrew Wen, et al.. (2020). Implementation of a Cohort Retrieval System for Clinical Data Repositories Using the Observational Medical Outcomes Partnership Common Data Model: Proof-of-Concept System Validation. JMIR Medical Informatics. 8(10). e17376–e17376. 17 indexed citations
11.
Gorman, Kyle & Steven Bedrick. (2019). We Need to Talk about Standard Splits. PubMed. 2019. 2786–2791. 56 indexed citations
12.
Peters, Betts, Fernando Quivira, Steven Bedrick, et al.. (2018). Effects of simulated visual acuity and ocular motility impairments on SSVEP brain-computer interface performance: an experiment with Shuffle Speller. PubMed. 5(2-3). 58–72. 7 indexed citations
13.
Bedrick, Steven, et al.. (2018). A Multi-Context Character Prediction Model for a Brain-Computer Interface. PubMed. 2018. 72–77. 2 indexed citations
14.
Miller, Joseph M., et al.. (2018). Simple patient care instructions translate best: Safety guidelines for physician use of Google translate. 25(1). 11 indexed citations
15.
Bedrick, Steven, et al.. (2015). OHSU @ MediaEval 2015: Adapting textual techniques to multimedia search. MediaEval. 1436. 1 indexed citations
16.
Bedrick, Steven, et al.. (2014). Automatic classification of PubMed abstracts with Latent semantic indexing: Working notes. 1275–1282. 4 indexed citations
17.
Kalpathy–Cramer, Jayashree, Alba García Seco de Herrera, Dina Demner‐Fushman, et al.. (2014). Evaluating performance of biomedical image retrieval systems—An overview of the medical image retrieval task at ImageCLEF 2004–2013. Computerized Medical Imaging and Graphics. 39. 55–61. 77 indexed citations
18.
Bedrick, Steven, et al.. (2013). Lucene, MetaMap, and Language Modeling: OHSU at CLEF eHealth 2013.. 1179. 4 indexed citations
19.
Kalpathy–Cramer, Jayashree, Musaddiq Awan, Steven Bedrick, et al.. (2013). Development of a Software for Quantitative Evaluation Radiotherapy Target and Organ-at-Risk Segmentation Comparison. Journal of Digital Imaging. 27(1). 108–119. 9 indexed citations
20.
Bedrick, Steven, Tracy Edinger, Aaron Cohen, & William Hersh. (2012). Identifying Patients for Clinical Studies from Electronic Health Records: TREC 2012 Medical Records Track at OHSU. Text REtrieval Conference. 8 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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