Boaz Lerner
Impact in
- Transportation top 5%
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Bayesian Modeling and Causal Inference
Papers in
-
- Bayesian Modeling and Causal Inference 13
- Neural Networks and Applications 10
- Machine Learning and Data Classification 7
- Co-authors
- Hugo GutermanI. DinsteinYitzhak RomemMayer AladjemIrad Ben‐GalEran TochYair MeidanGad Rabinowitz
- Journals
- Pattern Recognition Letters (4 papers)Journal of Crohn s and Colitis (2 papers)Artificial Intelligence in Medicine (2 papers)npj Parkinson s Disease (2 papers)Pattern Recognition (2 papers)
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Boaz Lerner
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 136
- Transportation 119
- Artificial Intelligence 400
- Computer Vision and Pattern Recognition 176
- Biophysics 49
- Signal Processing 74
Countries citing papers authored by Boaz Lerner
This map shows the geographic impact of Boaz Lerner'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 Boaz Lerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boaz Lerner more than expected).
Fields of papers citing papers by Boaz Lerner
This network shows the impact of papers produced by Boaz Lerner. 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 Boaz Lerner. The network helps show where Boaz Lerner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Boaz Lerner, 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 | 5 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 13 | |
| 6 | 2019 | 26 | |
| 7 | 2019 | 3 | |
| 8 | Temporal modeling of ALS using longitudinal data and long-short term memory-based algorithm. | 2018 | 2 |
| 9 | Learning human behaviors and lifestyle by capturing temporal relations in mobility patterns. | 2017 | 3 |
| 10 | Learning latent variable models by pairwise cluster comparison Part II: algorithm and evaluation | 2016 | 1 |
| 11 | Learning latent variable models by pairwise cluster comparison Part I: theory and overview | 2016 | 1 |
| 12 | Adaptive thresholding in structure learning of a Bayesian network | 2013 | 4 |
| 13 | Learning Latent Variable Models by Pairwise Cluster Comparison | 2012 | 2 |
| 14 | 2011 | 8 | |
| 15 | 2007 | 16 | |
| 16 | 2007 | 10 | |
| 17 | 2007 | 63 | |
| 18 | Recursive Autonomy Identification for Bayesian Network Structure Learning. | 2005 | 1 |
| 19 | 2001 | 7 | |
| 20 | 1998 | 96 |
About Boaz Lerner
Boaz Lerner is a scholar working on Artificial Intelligence, Biophysics, Medical Laboratory Technology, Transportation and Signal Processing, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (19 papers), Bayesian Modeling and Causal Inference (13 papers), Neural Networks and Applications (10 papers), Machine Learning and Data Classification (7 papers), Machine Learning in Bioinformatics (6 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Data Quality and Management (5 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Transportation (119 citations), Artificial Intelligence (400 citations), Computer Vision and Pattern Recognition (176 citations), Biophysics (49 citations) and Signal Processing (74 citations). Boaz Lerner has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Hugo Guterman, I. Dinstein, Yitzhak Romem, Mayer Aladjem, Irad Ben‐Gal, Eran Toch, Yair Meidan, Gad Rabinowitz, Maj Hultén and William F. Clocksin. Their work appears in journals such as Pattern Recognition Letters, Journal of Crohn s and Colitis, Artificial Intelligence in Medicine, npj Parkinson s Disease and Pattern Recognition.
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.