William Andersen

18 papers receiving 340 citations

Peers

William Andersen
Comparison fields: 5 of 60
  • Reproductive Medicine 177
  • Obstetrics and Gynecology 86
  • Artificial Intelligence 95
  • Rheumatology 44
  • Software 10
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Basel Refky Egypt
Patrick Bose Germany
Michael Williams United Kingdom
Pierre Colombo France
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Citations per field
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Citations per year

Countries citing papers authored by William Andersen

Since Specialization
Citations

This map shows the geographic impact of William 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 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 Andersen more than expected).

Fields of papers citing papers by William Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William 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 Andersen Line = papers co-authored together William Andersen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Serous surface papillary carcinoma. A clinicopathologic study of 10 cases and comparison with stage III-IV ovarian serous carcinoma.
198878
2
Prognostic features of carcinoma of the fallopian tube.
198852
3
Primary sarcoma of the adult vagina: a clinicopathologic study.
198549
4 198827
5 199426
6 199426
7
Knowledge Bus: Generating Application-focused Databases from Large Ontologies.
199822
8 200518
9
Massively parallel matching of knowledge structures
199417
10 200715
11
Advances in High Performance Knowledge Representation
199611
12 19998
13 20037
14 19976
15 19935
16
Massively parallel support for computationally effective recognition queries
19933
17 19853
18 19891
19 20240
20 20020

About William Andersen

William Andersen is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Rheumatology, Artificial Intelligence and Gastroenterology, having authored 20 papers that have together received 374 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (5 papers), Logic, Reasoning, and Knowledge (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Uterine Myomas and Treatments (3 papers), Neural Networks and Applications (2 papers), AI-based Problem Solving and Planning (2 papers), Semantic Web and Ontologies (2 papers) and Urologic and reproductive health conditions (2 papers). The work is most often cited by research in Reproductive Medicine (177 citations), Obstetrics and Gynecology (86 citations), Artificial Intelligence (95 citations), Rheumatology (44 citations) and Software (10 citations). William 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, M P Hopkins, Christopher Welty, Brian J. Peterson and Vandana Shashi. Their work appears in journals such as Gynecologic Oncology, Journal of the American Academy of Dermatology, International Journal of Gynecological Cancer, Applied Ontology and American Journal of Dermatopathology.

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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