Sally A. Goldman
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Media Technology top 0.5%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Jason E. FrittsHui ZhangQi ZhangYan ZhouMichael KearnsRouhollah RahmaniStephen ScottSharath R. Cholleti
- Topics
- Machine Learning and Algorithms (46 papers)Algorithms and Data Compression (21 papers)Advanced Image and Video Retrieval Techniques (18 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of the ACMMachine Learning
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Sally A. Goldman
72 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 1.4k
- Media Technology 447
- Computational Theory and Mathematics 341
- Computer Networks and Communications 296
Countries citing papers authored by Sally A. Goldman
This map shows the geographic impact of Sally A. Goldman'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 Sally A. Goldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sally A. Goldman more than expected).
Fields of papers citing papers by Sally A. Goldman
This network shows the impact of papers produced by Sally A. Goldman. 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 Sally A. Goldman. The network helps show where Sally A. Goldman may publish in the future.
Co-authorship network of co-authors of Sally A. Goldman
This figure shows the co-authorship network connecting the top 25 collaborators of Sally A. Goldman. A scholar is included among the top collaborators of Sally A. Goldman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sally A. Goldman. Sally A. Goldman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Experiences with active learning in CS 3 | 5 |
| 2 | 40 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | Content-Based Image Retrieval Using Multiple-Instance Learning | 153 |
| 6 | Multiple-Instance Learning of Real-Valued Data | 57 |
| 7 | EM-DD: An Improved Multiple-Instance Learning Technique | 415 |
| 8 | 20 | |
| 9 | Enhancing Supervised Learning with Unlabeled Data | 309 |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 48 | |
| 13 | A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geormetric Patterns. | 3 |
| 14 | 9 | |
| 15 | 8 | |
| 16 | 117 | |
| 17 | 7 | |
| 18 | 30 | |
| 19 | 6 | |
| 20 | Learning binary relations, total orders, and read-once formulas | 9 |
About Sally A. Goldman
Sally A. Goldman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 73 papers that have together received 3.0k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (46 papers), Algorithms and Data Compression (21 papers) and Advanced Image and Video Retrieval Techniques (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Media Technology (447 citations) and Artificial Intelligence (1.4k citations). Sally A. Goldman has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Jason E. Fritts, Hui Zhang, Qi Zhang, Yan Zhou, Michael Kearns, Rouhollah Rahmani, Qi Zhang, Stephen Scott, Hui Zhang and Sharath R. Cholleti. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of the ACM and Machine Learning.
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.