William A. Andersen

17 papers receiving 387 citations

Peers

William A. Andersen
Comparison fields: 5 of 63
  • Reproductive Medicine 180
  • Obstetrics and Gynecology 86
  • Artificial Intelligence 118
  • Rheumatology 46
  • Surgery 103
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Countries citing papers authored by William A. Andersen

Since Specialization
Citations

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

Fields of papers citing papers by William A. Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside William A. Andersen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William A. Andersen Line = papers co-authored together William A. Andersen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Serous surface papillary carcinoma. A clinicopathologic study of 10 cases and comparison with stage III-IV ovarian serous carcinoma.
198889
2
Prognostic features of carcinoma of the fallopian tube.
198859
3
Primary sarcoma of the adult vagina: a clinicopathologic study.
198558
4 199443
5 198830
6
Knowledge Bus: Generating Application-focused Databases from Large Ontologies.
199828
7 199426
8 200520
9
Massively parallel matching of knowledge structures
199418
10 200715
11 200312
12 199910
13 19978
14
Massively Parallel Support for Efficient Knowledge Representation.
19936
15 19855
16
Massively parallel support for computationally effective recognition queries
19935
17 19944
18 20020

About William A. Andersen

William A. Andersen is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Artificial Intelligence, Rheumatology and Computer Networks and Communications, having authored 18 papers that have together received 436 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (5 papers), Logic, Reasoning, and Knowledge (5 papers), Sarcoma Diagnosis and Treatment (3 papers), Semantic Web and Ontologies (3 papers), Uterine Myomas and Treatments (3 papers), Advanced Database Systems and Queries (3 papers), AI-based Problem Solving and Planning (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Reproductive Medicine (180 citations), Obstetrics and Gynecology (86 citations), Artificial Intelligence (118 citations), Rheumatology (46 citations) and Surgery (103 citations). William A. Andersen has collaborated with scholars based in United States. Frequent co-authors include William A. Peters, George W. Morley, Stacey E. Mills, Robert E. Fechner, James Hendler, Matthew P. Evett, Micah Hopkins, Christopher A. Welty, Brian J. Peterson and Naresh Kumar. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, Comparative and Functional Genomics, Applied Ontology and Journal of the American Academy of Dermatology.

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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