Sholom M. Weiss
- Artificial Intelligence top 0.2%
- Information Systems top 0.5%
- Computational Theory and Mathematics top 1%
- Computer Vision and Pattern Recognition top 2%
- Molecular Biology
- Co-authors
- Casimir A. KulikowskiNitin IndurkhyaFred J. DamerauChidanand AptéIoannis KapouleasTong ZhangAran SafirSaul Amarel
- Topics
- Data Mining Algorithms and Applications (20 papers)Machine Learning and Data Classification (11 papers)AI-based Problem Solving and Planning (10 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceArtificial IntelligenceJournal of Hypertension
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Sholom M. Weiss
67 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Artificial Intelligence 3.1k
- Information Systems 1.4k
- Computational Theory and Mathematics 528
- Computer Vision and Pattern Recognition 454
- Molecular Biology 384
Countries citing papers authored by Sholom M. Weiss
This map shows the geographic impact of Sholom M. Weiss'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 Sholom M. Weiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sholom M. Weiss more than expected).
Fields of papers citing papers by Sholom M. Weiss
This network shows the impact of papers produced by Sholom M. Weiss. 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 Sholom M. Weiss. The network helps show where Sholom M. Weiss may publish in the future.
Co-authorship network of co-authors of Sholom M. Weiss
This figure shows the co-authorship network connecting the top 25 collaborators of Sholom M. Weiss. A scholar is included among the top collaborators of Sholom M. Weiss 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 Sholom M. Weiss. Sholom M. Weiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Lightweight Rule Induction | 40 |
| 3 | 1 | |
| 4 | Feature extraction for massive data mining | 5 |
| 5 | Decision tree pruning: biased or optimal? | 16 |
| 6 | 101 | |
| 7 | Rule-Based Regression. | 12 |
| 8 | Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systemsbreakdown → | 609 |
| 9 | Reduced complexity rule induction | 37 |
| 10 | An empirical comparison of pattern recognition, neural nets, and machine learning classification methods | 332 |
| 11 | 1 | |
| 12 | Optimizing the predictive value of diagnostic decision rules | 15 |
| 13 | 9 | |
| 14 | Book III: Scientific and Research Applications in Medical Care: An Expert Consultant System in Rheumatology: AI/RHEUM | 1 |
| 15 | Building expert systems for controlling complex programs | 14 |
| 16 | A precedence scheme for selection and explanation of therapies | 1 |
| 17 | Developing microprocessor based expert models for instrument interpretation | 19 |
| 18 | EXPERT: a system for developing consultation models | 124 |
| 19 | Learning production rules for consultation systems | 2 |
| 20 | A model-based consultation system for the long-term management of glaucoma | 36 |
About Sholom M. Weiss
Sholom M. Weiss is a scholar working on Artificial Intelligence, Information Systems and Family Practice, having authored 67 papers that have together received 5.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (20 papers), Machine Learning and Data Classification (11 papers) and AI-based Problem Solving and Planning (10 papers). The work is most often cited by research in Artificial Intelligence (3.1k citations), Information Systems (1.4k citations) and Health Information Management (156 citations). Sholom M. Weiss has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Casimir A. Kulikowski, Nitin Indurkhya, Fred J. Damerau, Chidanand Apté, Ioannis Kapouleas, Tong Zhang, Aran Safir, Saul Amarel, Allen Ginsberg and Robert S. Galen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and Journal of Hypertension.
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.