Jason H. Moore
Active 1975–2026
- 559
- Papers
- 40,622
- Citations
- 100
- h-index
- 324
- i10-index
Citations
Citation sources
Countries
Institutions
Fields
- Biochemistry, Genetics and Molecular Biology36%
- Computer Science23.6%
- Medicine20.9%
- Neuroscience3%
- Engineering2.4%
- Environmental Science1.5%
- Other12.6%
Topics
- Genetic Associations and Epidemiology4.9%
- Bioinformatics and Genomic Networks3.5%
- Evolutionary Algorithms and Applications2.6%
- Gene expression and cancer classification2.5%
- Metaheuristic Optimization Algorithms Research2.2%
- Machine Learning and Data Classification1.9%
- Other82.4%
Coauthors
- Ryan J. Urbanowicz51
- Marylyn D. Ritchie44
- Li Shen35
- Andrew J. Saykin31
- Casey S. Greene31
- Scott M. Williams30
- Bill C. White28
- Patryk Orzechowski28
- Moshe Sipper26
- Yong Chen26
- Randal S. Olson25
- William G. La Cava24
- Ting Hu21
- John H. Holmes19
- Margaret R. Karagas19
- Christian Darabos18
- Folkert W. Asselbergs18
- Angeline S. Andrew16
- Lance W. Hahn16
- Jingwen Yan15
- Rui Duan15
- Shannon L. Risacher14
- Weixuan Fu14
- Xiuzhen Huang14
All papers
- ChatGPT and large language models in academia: opportunities and challenges
Authors: Jesse G. Meyer, Ryan J. Urbanowicz, Patrick C. N. Martin, Karen O'Connor, Ruowang Li, Pei-Chen Peng, Tiffani J. Bright, Nicholas P. Tatonetti, Kyoung-Jae Won, Graciela Gonzalez-Hernandez, Jason H. Moore - BioData Mining, BioData Min. 2023 cited by 539
- Contemporary Symbolic Regression Methods and their Relative Performance
Authors: William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore - NeurIPS Datasets and Benchmarks 2021 cited by 418
- PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison
Authors: Randal S. Olson, William G. La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore - BioData Mining, BioData Min. 2017 cited by 359
- Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
Authors: Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, Jason H. Moore - Genetic and Evolutionary Computation Conference 2016, GECCO 2016 cited by 571
- Scaling tree-based automated machine learning to biomedical big data with a feature set selector
Authors: Trang T. Le, Weixuan Fu, Jason H. Moore - Bioinformatics, Bioinform. 2019 cited by 468
- A manifesto on explainability for artificial intelligence in medicine
Authors: Carlo Combi, Beatrice Amico, Riccardo Bellazzi, Andreas Holzinger, Jason H. Moore, Marinka Zitnik, John H. Holmes - Artificial Intelligence in Medicine, Artif. Intell. Medicine 2022 cited by 151
- TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning
Authors: Randal S. Olson, Jason H. Moore - The Springer series on challenges in machine learning, AutoML@ICML 2016 cited by 712
- KRAGEN: a knowledge graph-enhanced RAG framework for biomedical problem solving using large language models
Authors: Nicholas Matsumoto, Jay Moran, Hyunjun Choi, Miguel E. Hernandez, Mythreye Venkatesan, Zhiping Paul Wang, Jason H. Moore - Bioinformatics, Bioinform. 2024 cited by 88
- Benchmarking in Optimization: Best Practice and Open Issues
Authors: Thomas Bartz–Beielstein, Carola Doerr, Berg, Daan van den, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, La Cava, William, Manuel López‐Ibáñez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise - arXiv (Cornell University), CoRR 2020 cited by 119
- Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
Authors: Maarten van Smeden, Georg Heinze, Ben Van Calster, Folkert W. Asselbergs, Panos Vardas, Nico Bruining, Peter de Jaegere, Jason H. Moore, Spiros Denaxas, Anne‐Laure Boulesteix, Karel G. M. Moons - European Heart Journal 2022 cited by 134
- Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetes
Authors: Maria Fasolino, Gregory W. Schwartz, Abhijeet R. Patil, Aanchal Mongia, Maria L. Golson, Yue J. Wang, Ashleigh Morgan, Chengyang Liu, Jonathan Schug, Jinping Liu, Minghui Wu, Daniel Traum, Ayano Kondo, Catherine Lee May, Naomi Goldman, Wenliang Wang, Michael D. Feldman, Jason H. Moore, Alberto Sada Japp, Michael R. Betts, Maria Fasolino, Gregory W. Schwartz, Abhijeet R. Patil, Aanchal Mongia, Maria L. Golson, Yue J. Wang, Ashleigh Morgan, Chengyang Liu, Jonathan Schug, Jinping Liu, Minghui Wu, Daniel Traum, Ayano Kondo, Catherine Lee May, Naomi Goldman, Wenliang Wang, Michael D. Feldman, Jason H. Moore, Alberto Sada Japp, Michael R. Betts, Robert B. Faryabi, Ali Naji, Klaus H. Kaestner, Golnaz Vahedi, Robert B. Faryabi, Ali Naji, Klaus H. Kaestner, Golnaz Vahedi - Nature Metabolism 2022 cited by 201
- Artificial intelligence: revolutionizing cardiology with large language models
Authors: Machteld Boonstra, Davy Weissenbacher, Jason H. Moore, Graciela Gonzalez‐Hernandez, Folkert W. Asselbergs - European Heart Journal 2024 cited by 104
- Multiple Plasma Biomarkers for Risk Stratification in Patients With Heart Failure and Preserved Ejection Fraction
Authors: Julio A. Chirinos, Alena Orlenko, Lei Zhao, Michael Basso, Mary Ellen Cvijic, Zhuyin Li, Thomas Spires, Melissa Yarde, Zhaoqing Wang, Dietmar Seiffert, Stuart B. Prenner, Payman Zamani, Priyanka Bhattacharya, Anupam Kumar, Kenneth B. Margulies, Bruce D. Car, David A. Gordon, Jason H. Moore, Thomas P. Cappola - Journal of the American College of Cardiology 2020 cited by 215
- Why Is the Electronic Health Record So Challenging for Research and Clinical Care?
Authors: John H. Holmes, James Beinlich, Mary Regina Boland, Kathryn H. Bowles, Yong Chen, Tessa S. Cook, George Demiris, Michael Draugelis, Laura Fluharty, Peter Gabriel, Robert W. Grundmeier, C. William Hanson, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Charles E. Kahn, Dokyoon Kim, Ross Koppel, Qi Long, Nebojša Mirković, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Ryan J. Urbanowicz, Jason H. Moore - Methods of Information in Medicine 2021 cited by 114
- The Molecular Twin artificial-intelligence platform integrates multi-omic data to predict outcomes for pancreatic adenocarcinoma patients
Authors: Arsen Osipov, Ognjen Nikolic, Arkadiusz Gertych, Sarah J. Parker, Andrew Hendifar, Pranav Singh, Darya Filippova, Grant Dagliyan, Cristina R. Ferrone, Lei Zheng, Jason H. Moore, Warren G. Tourtellotte, Jennifer E. Van Eyk, Dan Theodorescu - Nature Cancer 2024 cited by 83
- PMLB v1.0: an open source dataset collection for benchmarking machine learning methods
Authors: Joseph D. Romano, Trang T. Le, William G. La Cava, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore - Bioinformatics, Bioinform. 2020 cited by 58
- Chapter 11: Genome-Wide Association Studies
Authors: William S. Bush, Jason H. Moore - PLoS Computational Biology, PLoS Comput. Biol. 2012 cited by 1,217
- Learning Classifier Systems: A Complete Introduction, Review, and Roadmap
Authors: Ryan J. Urbanowicz, Jason H. Moore - Journal of Artificial Evolution and Applications 2009 cited by 303
- Missing heritability and strategies for finding the underlying causes of complex disease
Authors: Evan E. Eichler, Jonathan Flint, Greg Gibson, Augustine Kong, Suzanne M. Leal, Jason H. Moore, Joseph H. Nadeau - Nature Reviews Genetics 2010 cited by 1,753
- The Genetic Structure and History of Africans and African Americans
Authors: Sarah A. Tishkoff, Floyd A. Reed, Françoise R. Friedlaender, Christopher Ehret, Alessia Ranciaro, Alain Froment, Jibril Hirbo, Agnes A. Awomoyi, Jean-Marie Bodo, Ogobara K. Doumbo, Muntaser E. Ibrahim, Abdalla T. Juma, Maritha J. Kotze, Godfrey Lema, Jason H. Moore, Holly M. Mortensen, Thomas Nyambo, Sabah A. Omar, Kweli Powell, G S Pretorius, Michael W. Smith, Mahamadou A. Théra, Charles Wambebe, James L. Weber, Scott M. Williams - Science 2009 cited by 1,604
- Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans
Authors: Andrew J. Saykin, Li Shen, Tatiana Foroud, Steven G. Potkin, Shanker Swaminathan, Sungeun Kim, Shannon L. Risacher, Kwangsik Nho, Matthew J. Huentelman, David W. Craig, Paul M. Thompson, Jason L. Stein, Jason H. Moore, Lindsay A. Farrer, Robert C. Green, Lars Bertram, Clifford R. Jack, Michael W. Weiner, Alzheimer's Disease Neuroimaging Initiative - Alzheimer s & Dementia 2010 cited by 456
- The Cosmos Collaborative: A Vendor-Facilitated Electronic Health Record Data Aggregation Platform
Authors: Yasir Tarabichi, Adam Frees, Steven Honeywell, Courtney Huang, Andrew M. Naidech, Jason H. Moore, David C. Kaelber - ACI Open 2021 cited by 111
- Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras
Authors: Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen - arXiv (Cornell University), CoRR 2024 cited by 29
- Automating Biomedical Data Science Through Tree-Based Pipeline Optimization
Authors: Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews, Nicole A. Lavender, La Creis Kidd, Jason H. Moore - Lecture notes in computer science, EvoApplications (1) 2016 cited by 317
