G. William Moore

751 total citations
11 papers, 470 citations indexed

About

G. William Moore is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, G. William Moore has authored 11 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Health Information Management. Recurrent topics in G. William Moore's work include Biomedical Text Mining and Ontologies (4 papers), AI in cancer detection (4 papers) and Medical Coding and Health Information (3 papers). G. William Moore is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), AI in cancer detection (4 papers) and Medical Coding and Health Information (3 papers). G. William Moore collaborates with scholars based in United States. G. William Moore's co-authors include Krzysztof J. Cios, Jules J. Berman, Grover M. Hutchins, Robert E. Miller, Randy Hanzlick, Kasper W. F. Tersmette, Alan F. Scott, Nina W. Matheson, John J. Buchino and Jon Massey and has published in prestigious journals such as Cancer Letters, American Journal of Clinical Pathology and Artificial Intelligence in Medicine.

In The Last Decade

G. William Moore

11 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. William Moore United States	7	237	147	125	102	36	11	470
Stelios Sfakianakis Greece	17	165 0.7×	73 0.5×	191 1.5×	101 1.0×	31 0.9×	59	610
J. Dudeck Germany	15	159 0.7×	242 1.6×	181 1.4×	62 0.6×	23 0.6×	106	717
Elpida Keravnou Cyprus	15	384 1.6×	81 0.6×	114 0.9×	117 1.1×	16 0.4×	42	577
Miroslav Marinov Bulgaria	6	201 0.8×	198 1.3×	72 0.6×	81 0.8×	19 0.5×	19	487
Patricia Alafaireet United States	4	176 0.7×	169 1.1×	44 0.4×	65 0.6×	19 0.5×	8	395
David Riaño Spain	12	216 0.9×	115 0.8×	118 0.9×	56 0.5×	12 0.3×	50	440
Cindy Marling United States	12	257 1.1×	219 1.5×	50 0.4×	55 0.5×	12 0.3×	26	731
Michael Lawley Australia	14	380 1.6×	116 0.8×	304 2.4×	115 1.1×	25 0.7×	48	600
Eliot Kimber United Kingdom	3	115 0.5×	138 0.9×	114 0.9×	55 0.5×	14 0.4×	8	352
Glenn Walker United States	3	525 2.2×	425 2.9×	176 1.4×	161 1.6×	122 3.4×	3	845

Countries citing papers authored by G. William Moore

Since Specialization

Citations

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

Fields of papers citing papers by G. William Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. William Moore. 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 G. William Moore. The network helps show where G. William Moore may publish in the future.

Co-authorship network of co-authors of G. William Moore

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

All Works

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11 of 11 papers shown

Cios, Krzysztof J. & G. William Moore. (2002). Uniqueness of medical data mining. Artificial Intelligence in Medicine. 26(1-2). 1–24. 390 indexed citations

Moore, G. William, Jules J. Berman, Randy Hanzlick, John J. Buchino, & Grover M. Hutchins. (1996). A prototype Internet autopsy database. 1625 consecutive fetal and neonatal autopsy facesheets spanning 20 years.. PubMed. 120(8). 782–5. 8 indexed citations

Berman, Jules J. & G. William Moore. (1996). SNOMED-encoded surgical pathology databases: a tool for epidemiologic investigation.. PubMed. 9(9). 944–50. 16 indexed citations

Berman, Jules J. & G. William Moore. (1994). Image analysis software for the detection of preneoplastic and early neoplastic lesions. Cancer Letters. 77(2-3). 103–109. 7 indexed citations

Moore, G. William & Jules J. Berman. (1994). Performance Analysis of Manual and Automated Systemized Nomenclature of Medicine (SNOMED) Coding. American Journal of Clinical Pathology. 101(3). 253–256. 15 indexed citations

Berman, Jules J., et al.. (1994). A SNOMED analysis of three years' accessioned cases (40,124) of a surgical pathology department: implications for pathology-based demographic studies.. PubMed. 188–92. 3 indexed citations

Moore, G. William & Jules J. Berman. (1994). Automatic SNOMED coding.. PubMed. 225–9. 15 indexed citations

Tersmette, Kasper W. F., Alan F. Scott, G. William Moore, Nina W. Matheson, & Robert E. Miller. (1988). Barrier word method for detecting molecular biology multiple word terms. PubMed Central. 207–211. 9 indexed citations

Moore, G. William, et al.. (1987). Word Root Translation of 45,564 Autopsy Reports into MeSH Titles. PubMed Central. 35(8). 128–132. 5 indexed citations

10.

Moore, G. William. (1987). An end to the paper chase?. Electronics and Power. 33(9). 554–554. 1 indexed citations

11.

Moore, G. William. (1986). Literacy and computing for the blind. Electronics and Power. 32(7). 513–513. 1 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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