George L. Wied

1.9k total citations
77 papers, 1.3k citations indexed

About

George L. Wied is a scholar working on Epidemiology, Artificial Intelligence and Biophysics. According to data from OpenAlex, George L. Wied has authored 77 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 13 papers in Artificial Intelligence and 11 papers in Biophysics. Recurrent topics in George L. Wied's work include AI in cancer detection (12 papers), Cell Image Analysis Techniques (11 papers) and Cervical Cancer and HPV Research (11 papers). George L. Wied is often cited by papers focused on AI in cancer detection (12 papers), Cell Image Analysis Techniques (11 papers) and Cervical Cancer and HPV Research (11 papers). George L. Wied collaborates with scholars based in United States, Spain and United Kingdom. George L. Wied's co-authors include Marluce Bibbo, Peter H. Bartels, Harvey E. Dytch, M. Edward Davis, Oscar W. Richards, P H Bartels, L G Koss, Richard S. Eisenstein, G. F. Bahr and William Haenszel and has published in prestigious journals such as New England Journal of Medicine, JAMA and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

George L. Wied

75 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George L. Wied United States	20	379	243	230	196	127	77	1.3k
Wied Gl United States	19	219 0.6×	96 0.4×	143 0.6×	178 0.9×	224 1.8×	121	1.1k
Björn Stenkvist Sweden	23	210 0.6×	236 1.0×	629 2.7×	543 2.8×	243 1.9×	95	1.8k
J. C. E. Underwood United Kingdom	22	338 0.9×	175 0.7×	435 1.9×	411 2.1×	12 0.1×	64	1.9k
Carlo Russo United States	19	158 0.4×	97 0.4×	191 0.8×	334 1.7×	161 1.3×	78	1.7k
Ollivier Hyrien United States	23	351 0.9×	88 0.4×	266 1.2×	428 2.2×	64 0.5×	79	1.7k
A. C. Green Australia	16	462 1.2×	175 0.7×	789 3.4×	209 1.1×	42 0.3×	23	1.4k
G. Sterrett Australia	15	97 0.3×	126 0.5×	263 1.1×	190 1.0×	102 0.8×	44	874
Daniel G. Rudmann United States	17	146 0.4×	66 0.3×	134 0.6×	332 1.7×	62 0.5×	28	1.0k
F. Wiener Sweden	23	106 0.3×	403 1.7×	381 1.7×	816 4.2×	31 0.2×	79	1.9k
Kenneth M. Klein United States	19	224 0.6×	328 1.3×	109 0.5×	159 0.8×	16 0.1×	42	873

Countries citing papers authored by George L. Wied

Since Specialization

Citations

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

Fields of papers citing papers by George L. Wied

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George L. Wied. 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 George L. Wied. The network helps show where George L. Wied may publish in the future.

Co-authorship network of co-authors of George L. Wied

This figure shows the co-authorship network connecting the top 25 collaborators of George L. Wied. A scholar is included among the top collaborators of George L. Wied 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 George L. Wied. George L. Wied 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

Bibbo, Marluce, Peter H. Bartels, Harvey E. Dytch, & George L. Wied. (2015). Computed Cell Image Information. PubMed. 9. 62–100. 2 indexed citations

Luff, Ronald D., Jonathan S. Berek, Marluce Bibbo, et al.. (1993). The Bethesda System for reporting cervical/vaginal cytologic diagnoses. 37(2). 115–124. 196 indexed citations

Fleming, Matthew G., George L. Wied, & Harvey E. Dytch. (1990). Image Analysis Cytometry of Dysplastic Nevi. Journal of Investigative Dermatology. 95(3). 287–291. 14 indexed citations

Bibbo, Marluce, et al.. (1989). DNA Ploidy Profiles as Prognostic Indicators in CIN Lesions. American Journal of Clinical Pathology. 92(3). 261–265. 80 indexed citations

Bibbo, Marluce, et al.. (1986). MicroTICAS. The design of an inexpensive video-based microphotometer/computer system for DNA ploidy studies.. PubMed. 8(1). 1–7. 16 indexed citations

Dowlatshahi, Kambiz, David B. Skinner, Tom R. DeMeester, et al.. (1985). Evaluation of brush cytology as an independent technique for detection of esophageal carcinoma. Journal of Thoracic and Cardiovascular Surgery. 89(6). 848–851. 12 indexed citations

Sherman, Andrew B., L G Koss, Karen Schreiber, et al.. (1981). Bladder cancer diagnosis by image analysis of cells in voided urine using a small computer.. PubMed. 3(3). 239–49. 11 indexed citations

Bartels, Peter H. & George L. Wied. (1977). Computer analysis and biomedical interpretation of microscopic images: Current problems and future directions. Proceedings of the IEEE. 65(2). 252–261. 19 indexed citations

Bibbo, Marluce, et al.. (1976). CYTOLOGIC FINDINGS IN FEMALE AND MALE OFFSPRING OF DES-TREATED MOTHERS. Obstetrical & Gynecological Survey. 31(8). 624–626. 13 indexed citations

10.

Hicklin, Martin D., Stanley L. Inhorn, Leopold G. Koss, et al.. (1974). Standards of Adequacy of Cytologic Examination of the Female Genital Tract. American Journal of Clinical Pathology. 61(2). 285–286. 11 indexed citations

11.

Hicklin, Martin D., Stanley L. Inhorn, Leopold G. Koss, et al.. (1973). Conclusions of study group on standards of adequacy of cytologic examination of the female genital tract. Gynecologic Oncology. 1(3). 271–273. 2 indexed citations

12.

Hicklin, Martin D., Stanley L. Inhorn, Leopold G. Koss, et al.. (1973). Standards of adequacy of cytologic examination of the female genital tract. American Journal of Obstetrics and Gynecology. 117(6). 863–864. 4 indexed citations

13.

Meulen, Volker ter, Peter H. Bartels, G. F. Bahr, et al.. (1972). Computer assisted analysis of a carrier culture infected with Moloney leukemia virus.. PubMed. 16(5). 454–63. 7 indexed citations

14.

Bartels, Peter H., Marluce Bibbo, George L. Wied, & G. F. Bahr. (1972). OBJECTIVE CELL IMAGE ANALYSIS. Journal of Histochemistry & Cytochemistry. 20(4). 239–254. 24 indexed citations

15.

Wied, George L., et al.. (1966). An electronic data processing program for cytologic screening projects for uterine carcinoma.. PubMed. 8(6). 385–97. 5 indexed citations

16.

Wied, George L. & M. Edward Davis. (1963). CYTOLOGIC SCREENING DURING PREGNANCY. Clinical Obstetrics & Gynecology. 6(3). 573–603. 3 indexed citations

17.

Wied, George L., et al.. (1962). Proceedings of the First International Congress of Exfoliative Cytology : Vienna, Austria August 31 to September 2, 1961. 1 indexed citations

18.

Wied, George L.. (1961). TECHNIQUES FOR COLLECTION AND PREPARATION OF CYTOLOGIC SPECIMENS. Clinical Obstetrics & Gynecology. 4(4). 1031–1044. 1 indexed citations

19.

Wied, George L., et al.. (1958). Progestational and androgenic substances tested on the highly proliferated vaginal epithelium of surgical castrates. American Journal of Obstetrics and Gynecology. 75(2). 289–300. 3 indexed citations

20.

Wied, George L., et al.. (1957). Die cytologische Differenzierung verschiedener Ausbreitungsgrade des Collumcarcinoms. Archives of Gynecology and Obstetrics. 189(1). 358–363. 2 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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