Ann E. Smith
Impact in
- Artificial Intelligence top 2%
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Information Systems top 2%
- Data Mining Algorithms and Applications
Papers in
- Co-authors
- Barbara Winkler (1 shared paper)Andrew Blitzer (1 shared paper)Jack J. Wazen (1 shared paper)Karl H. Perzin (1 shared paper)N.D. Black (1 shared paper)Chris Nugent (1 shared paper)Nan‐Haw Chow (1 shared paper)Naomi Halachmi (1 shared paper)
- Journals
- Cancer (3 papers)Gynecologic Oncology (1 paper)Artificial Intelligence in Medicine (1 paper)Genes (1 paper)BMC Medical Informatics and Decision Making (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Ann E. Smith
13 papers receiving 1.5k citations
Ann E. Smith's Hit Papers
Peers
Comparison fields: 5 of 165
- Artificial Intelligence 610
- Information Systems 416
- Signal Processing 198
- Computational Theory and Mathematics 157
- Health Information Management 38
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 | 1390 |
| 2 | 2000 | 50 | |
| 3 | 2000 | 39 | |
| 4 | 1985 | 35 | |
| 5 | 2002 | 23 | |
| 6 | 2000 | 8 | |
| 7 | 2023 | 8 | |
| 8 | 2000 | 8 | |
| 9 | 1998 | 6 | |
| 10 | 1999 | 6 | |
| 11 | 2000 | 5 | |
| 12 | Pathologic Quiz Case 1 | 1998 | 2 |
| 13 | 2000 | 2 | |
| 14 | 2000 | 2 |
About Ann E. Smith
Ann E. Smith is a scholar working on Surgery, Oncology, Otorhinolaryngology, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (2 papers), Cancer Diagnosis and Treatment (2 papers), Cell Image Analysis Techniques (1 paper), Pneumothorax, Barotrauma, Emphysema (1 paper), Urologic and reproductive health conditions (1 paper), Digital Imaging for Blood Diseases (1 paper), Pleural and Pulmonary Diseases (1 paper) and Salivary Gland Tumors Diagnosis and Treatment (1 paper). The work is most often cited by research in Artificial Intelligence (610 citations), Information Systems (416 citations), Signal Processing (198 citations), Computational Theory and Mathematics (157 citations) and Health Information Management (38 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, N.D. Black, Chris Nugent, Nan‐Haw Chow, Naomi Halachmi, David Sidransky and Mark Schoenberg. Their work appears in journals such as Cancer, Gynecologic Oncology, Artificial Intelligence in Medicine, Genes and BMC Medical Informatics and Decision Making.
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.