Roy J. Byrd

1.6k total citations
32 papers, 1.0k citations indexed

About

Roy J. Byrd is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Networks and Communications. According to data from OpenAlex, Roy J. Byrd has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 8 papers in Language and Linguistics and 3 papers in Computer Networks and Communications. Recurrent topics in Roy J. Byrd's work include Natural Language Processing Techniques (17 papers), Speech and dialogue systems (6 papers) and Lexicography and Language Studies (6 papers). Roy J. Byrd is often cited by papers focused on Natural Language Processing Techniques (17 papers), Speech and dialogue systems (6 papers) and Lexicography and Language Studies (6 papers). Roy J. Byrd collaborates with scholars based in United States, Italy and India. Roy J. Byrd's co-authors include Martin Chodorow, Youngja Park, George E. Heidorn, Branimir Boguraev, Mary S. Neff, Shahram Ebadollahi, Steven R. Steinhubl, Walter F. Stewart, Yael Ravin and Robert L. Mack and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and International Journal of Medical Informatics.

In The Last Decade

Roy J. Byrd

32 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roy J. Byrd United States	16	783	171	151	137	82	32	1.0k
Anna Rumshisky United States	23	1.5k 1.9×	520 3.0×	69 0.5×	96 0.7×	123 1.5×	71	1.7k
Kent A. Spackman United States	22	1.1k 1.4×	1.2k 7.3×	223 1.5×	94 0.7×	287 3.5×	59	1.6k
Shervin Malmasi United States	25	2.4k 3.1×	102 0.6×	98 0.6×	299 2.2×	16 0.2×	82	2.6k
Jinho D. Choi United States	20	993 1.3×	159 0.9×	26 0.2×	115 0.8×	20 0.2×	91	1.2k
Paolo Ciccarese United States	14	559 0.7×	622 3.6×	7 0.0×	178 1.3×	249 3.0×	30	1.1k
Richárd Farkas Hungary	16	1.2k 1.6×	525 3.1×	36 0.2×	109 0.8×	118 1.4×	58	1.4k
Vanessa López Ireland	16	1.1k 1.4×	165 1.0×	10 0.1×	508 3.7×	8 0.1×	67	1.3k
Bruno Pouliquen France	15	769 1.0×	90 0.5×	79 0.5×	134 1.0×	21 0.3×	49	923
Goran Topić Japan	9	621 0.8×	252 1.5×	18 0.1×	73 0.5×	11 0.1×	28	777
裕二池谷 United States	10	948 1.2×	534 3.1×	6 0.0×	46 0.3×	64 0.8×	19	1.3k

Countries citing papers authored by Roy J. Byrd

Since Specialization

Citations

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

Fields of papers citing papers by Roy J. Byrd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy J. Byrd. 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 Roy J. Byrd. The network helps show where Roy J. Byrd may publish in the future.

Co-authorship network of co-authors of Roy J. Byrd

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

All Works

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20 of 20 papers shown

Ng, Kenney, Walter F. Stewart, Christopher R. deFilippi, et al.. (2016). Data-Driven Modeling of Electronic Health Record Data to Predict Prediagnostic Heart Failure in Primary Care. Journal of patient-centered research and reviews. 3(3). 200–200. 2 indexed citations

Wang, Yajuan, Steven R. Steinhubl, Kenney Ng, et al.. (2015). Prescription Extraction from Clinical Notes: Towards Automating EMR Medication Reconciliation.. PubMed. 2015. 188–93. 5 indexed citations

Vijayakrishnan, Rajakrishnan, Steven R. Steinhubl, Kenney Ng, et al.. (2014). Prevalence of Heart Failure Signs and Symptoms in a Large Primary Care Population Identified Through the Use of Text and Data Mining of the Electronic Health Record. Journal of Cardiac Failure. 20(7). 459–464. 65 indexed citations

Byrd, Roy J., Steven R. Steinhubl, Jimeng Sun, Shahram Ebadollahi, & Walter F. Stewart. (2013). Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records. International Journal of Medical Informatics. 83(12). 983–992. 93 indexed citations

Steinhubl, Steven R., Jimeng Sun, Roy J. Byrd, et al.. (2012). POTENTIAL IMPACT OF PREDICTIVE MODELS FOR EARLY DETECTION OF HEART FAILURE ON THE INITIATION OF EVIDENCE-BASED THERAPIES. Journal of the American College of Cardiology. 59(13). E949–E949. 2 indexed citations

Steinhubl, Steven R., Brent A. Williams, Jimeng Sun, et al.. (2011). Abstract 12035: Text and Data Mining of Longitudinal Electronic Health Records (EHRs) in a Primary Care Population Can Identify Heart Failure (HF) Patients Months to Years Prior to Formal Diagnosis Using the Framingham Criteria. Circulation. 124. 3 indexed citations

Neff, Mary S., Roy J. Byrd, & Branimir Boguraev. (2003). The talent system. 8. 1–8. 8 indexed citations

Park, Youngja, Roy J. Byrd, & Branimir Boguraev. (2002). Automatic glossary extraction. 1. 1–7. 103 indexed citations

Park, Youngja & Roy J. Byrd. (2001). Hybrid Text Mining for Finding Abbreviations and their Definitions. Empirical Methods in Natural Language Processing. 97 indexed citations

10.

Mack, Robert L., Yael Ravin, & Roy J. Byrd. (2001). Knowledge portals and the emerging digital knowledge workplace. IBM Systems Journal. 40(4). 925–955. 90 indexed citations

11.

Ando, Rie Kubota, Branimir Boguraev, Roy J. Byrd, & Mary S. Neff. (2000). Multi-document summarization by visualizing topical content. 79–98. 4 indexed citations

12.

Tzoukermann, Evelyne & Roy J. Byrd. (1988). The Application of a Morphological Analyzer to On-Line French Dictionaries. 355–361. 1 indexed citations

13.

Byrd, Roy J. & Evelyne Tzoukermann. (1988). Adapting an English morphological analyzer for French. 1–6. 2 indexed citations

14.

Neff, Mary S., et al.. (1988). Creating and querying lexical data bases. 84–84. 17 indexed citations

15.

Byrd, Roy J., et al.. (1987). Tools and methods for computational lexicology. Computational Linguistics. 13(3). 219–240. 63 indexed citations

16.

Byrd, Roy J., Judith L. Klavans, Mark Aronoff, & Frank Anshen. (1986). Computer methods for morphological analysis. 120–127. 17 indexed citations

17.

Byrd, Roy J. & Martin Chodorow. (1985). Using an on-line dictionary to find rhyming words and pronunciations for unknown words. 277–283. 11 indexed citations

18.

Byrd, Roy J.. (1983). Word formation in natural language processing systems. International Joint Conference on Artificial Intelligence. 704–706. 21 indexed citations

19.

Heidorn, George E., Karen Jensen, Lance A. Miller, Roy J. Byrd, & Martin Chodorow. (1982). The EPISTLE text-critiquing system. IBM Systems Journal. 21(3). 305–326. 107 indexed citations

20.

Byrd, Roy J., et al.. (1982). An actor-based programming system. 67–78. 13 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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