Ann E. Smith
Impact in
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- Online Learning and Analytics
- Information Systems top 5%
- Data Mining Algorithms and Applications
- Data Mining and Machine Learning Applications
Papers in
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- Artificial Intelligence in Healthcare 1
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- Ovarian cancer diagnosis and treatment 1
- Co-authors
- Barbara Winkler (1 shared paper)Andrew Blitzer (1 shared paper)Jack J. Wazen (1 shared paper)Karl H. Perzin (1 shared paper)Chris Nugent (1 shared paper)Norman D. Black (1 shared paper)David Sidransky (1 shared paper)Naomi Halachmi (1 shared paper)
- Journals
- Cancer (2 papers)Artificial Intelligence in Medicine (1 paper)Gynecologic Oncology (1 paper)European Urology (1 paper)Otolaryngology (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Ann E. Smith
12 papers receiving 1.5k citations
Ann E. Smith's Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Science Applications 43
- Information Systems 172
- Health Information Management 35
- Artificial Intelligence 158
- Signal Processing 29
Countries citing papers authored by Ann E. Smith
This map shows the geographic impact of Ann E. Smith'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 Ann E. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann E. Smith more than expected).
Fields of papers citing papers by Ann E. Smith
This network shows the impact of papers produced by Ann E. Smith. 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 Ann E. Smith. The network helps show where Ann E. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann E. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Principles of Data Mining Hit paper breakdown → | 2002 | 1367 |
| 2 | 2000 | 52 | |
| 3 | 2000 | 40 | |
| 4 | 1985 | 35 | |
| 5 | 2002 | 24 | |
| 6 | 2023 | 10 | |
| 7 | 1999 | 9 | |
| 8 | 2000 | 9 | |
| 9 | 2000 | 8 | |
| 10 | 1998 | 6 | |
| 11 | Pathologic Quiz Case 1 | 1998 | 2 |
| 12 | Patient survival estimation with multiple attributes: adaptation of Cox’s regression to give an individual’s point prediction | 2000 | 2 |
| 13 | 2000 | 1 |
About Ann E. Smith
Ann E. Smith is a scholar working on Health Information Management, Reproductive Medicine, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Clinical Psychology, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper), Ovarian cancer diagnosis and treatment (1 paper), ECG Monitoring and Analysis (1 paper), Thyroid Cancer Diagnosis and Treatment (1 paper), Artificial Intelligence in Healthcare (1 paper), Metastasis and carcinoma case studies (1 paper) and Pneumothorax, Barotrauma, Emphysema (1 paper). The work is most often cited by research in Computer Science Applications (43 citations), Information Systems (172 citations), Health Information Management (35 citations), Artificial Intelligence (158 citations) and Signal Processing (29 citations). Ann E. Smith has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Barbara Winkler, Andrew Blitzer, Jack J. Wazen, Karl H. Perzin, Chris Nugent, Norman D. Black, David Sidransky, Naomi Halachmi, Nan‐Haw Chow and Sarel Halachmi. Their work appears in journals such as Cancer, Artificial Intelligence in Medicine, Gynecologic Oncology, European Urology and Otolaryngology.
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.