David Cohn
Impact in
- Artificial Intelligence top 0.2%
- Machine Learning and Algorithms
- Machine Learning and Data Classification
- Topic Modeling
- Algorithms and Data Compression
- Text and Document Classification Technologies
- Natural Language Processing Techniques
-
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Machine Learning and Algorithms 9
- Machine Learning and Data Classification 7
- Neural Networks and Applications 4
- Algorithms and Data Compression 3
- Bayesian Modeling and Causal Inference 2
- Topic Modeling 2
- Advanced Text Analysis Techniques 2
- Co-authors
- Richard E. LadnerLes AtlasZoubin GhahramaniMichael I. JordanThomas HofmannHuan ChangVibhu O. MittalRich Caruana
- Journals
- Machine Learning (2 papers)Language and Speech (1 paper)Journal of Phonetics (1 paper)AI Magazine (1 paper)Neural Computation (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
David Cohn
22 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 3.0k
- Computer Vision and Pattern Recognition 711
- Information Systems 522
- Management Science and Operations Research 278
- Statistical and Nonlinear Physics 267
Countries citing papers authored by David Cohn
This map shows the geographic impact of David Cohn'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 David Cohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cohn more than expected).
Fields of papers citing papers by David Cohn
This network shows the impact of papers produced by David Cohn. 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 David Cohn. The network helps show where David Cohn may publish in the future.
Co-authors
The 25 scholars most cited alongside David Cohn, 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 | 2024 | 0 | |
| 2 | 2023 | 6 | |
| 3 | 2005 | 0 | |
| 4 | Finding underlying connections: a fast graph-based method for link analysis and collaboration queries | 2003 | 20 |
| 5 | cGraph: A Fast Graph-Based Method for Link Analysis and Queries | 2003 | 4 |
| 6 | Informed Projections | 2002 | 8 |
| 7 | A Nonparametric Approach to Noisy and Costly Optimization | 2000 | 21 |
| 8 | Learning to Probabilistically Identify Authoritative Documents | 2000 | 175 |
| 9 | Less is More: Active Learning with Support Vector Machines Hit paper breakdown → | 2000 | 529 |
| 10 | The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity | 2000 | 293 |
| 11 | 2000 | 200 | |
| 12 | How to Dynamically Merge Markov Decision Processes | 1997 | 58 |
| 13 | 1996 | 0 | |
| 14 | 1996 | 175 | |
| 15 | Active Learning with Statistical Models Hit paper breakdown → | 1996 | 913 |
| 16 | Improving Generalization with Active Learning Hit paper breakdown → | 1994 | 822 |
| 17 | 1992 | 45 | |
| 18 | Separating formal bounds from practical performance in learning systems | 1992 | 2 |
| 19 | Can neural networks do better than the Vapnik-Chervonenkis bounds? | 1990 | 15 |
| 20 | Training Connectionist Networks with Queries and Selective Sampling | 1989 | 141 |
About David Cohn
David Cohn is a scholar working on Artificial Intelligence, Human-Computer Interaction, Geology, Statistical and Nonlinear Physics and Developmental and Educational Psychology, having authored 25 papers that have together received 4.0k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (9 papers), Machine Learning and Data Classification (7 papers), Neural Networks and Applications (4 papers), Algorithms and Data Compression (3 papers), Bayesian Modeling and Causal Inference (2 papers), Topic Modeling (2 papers), Complex Network Analysis Techniques (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (3.0k citations), Computer Vision and Pattern Recognition (711 citations), Information Systems (522 citations), Management Science and Operations Research (278 citations) and Statistical and Nonlinear Physics (267 citations). David Cohn has collaborated with scholars based in United States and Israel. Frequent co-authors include Richard E. Ladner, Les Atlas, Zoubin Ghahramani, Michael I. Jordan, Thomas Hofmann, Huan Chang, Vibhu O. Mittal, Rich Caruana, Dayne Freitag and Adam Berger. Their work appears in journals such as Machine Learning, Language and Speech, Journal of Phonetics, AI Magazine and Neural Computation.
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.