William Andersen

18 papers receiving 401 citations

Peers

William Andersen
Comparison fields: 5 of 64
  • Reproductive Medicine 179
  • Obstetrics and Gynecology 86
  • Artificial Intelligence 135
  • Rheumatology 45
  • Surgery 100
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C Dimopoulos Greece
Dušan Popović Serbia
Herman Verrelst Belgium
Tinghui Wu Taiwan
Sebastian Szubert Poland
Rafał Moszyński Poland
Michael Williams United Kingdom
Yi‐Jia Lin Taiwan
Pierre Colombo France
Basel Refky Egypt
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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.
198885
2
Primary sarcoma of the adult vagina: a clinicopathologic study.
198559
3
Prognostic features of carcinoma of the fallopian tube.
198858
4 199443
5 198830
6
Knowledge Bus: Generating Application-focused Databases from Large Ontologies.
199829
7 199426
8 200521
9
Massively parallel matching of knowledge structures
199419
10
Advances in High Performance Knowledge Representation
199618
11 200715
12 200312
13 19999
14 19977
15 19936
16 19855
17
Massively parallel support for computationally effective recognition queries
19934
18 19944
19 20020
20 20240

About William Andersen

William Andersen is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Reproductive Medicine, Surgery and Computer Networks and Communications, having authored 20 papers that have together received 450 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), Advanced Database Systems and Queries (3 papers), Uterine Myomas and Treatments (3 papers), Semantic Web and Ontologies (3 papers), Urologic and reproductive health conditions (2 papers) and Intraperitoneal and Appendiceal Malignancies (2 papers). The work is most often cited by research in Reproductive Medicine (179 citations), Obstetrics and Gynecology (86 citations), Artificial Intelligence (135 citations), Rheumatology (45 citations) and Surgery (100 citations). William Andersen has collaborated with scholars based in United States. Frequent co-authors include William A. Peters, George W. Morley, James Hendler, Robert E. Fechner, Stacey E. Mills, Matthew P. Evett, M P Hopkins, Christopher Welty, Brian J. Peterson and Jennifer M. Williams. Their work appears in journals such as Gynecologic Oncology, American Journal of Dermatopathology, International Journal of Gynecological Cancer, Journal of the American Academy of Dermatology and Comparative and Functional Genomics.

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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