Pierre Baldi
Impact in
- Endocrine and Autonomic Systems top 0.05%
- Circadian rhythm and melatonin
- Health Informatics top 0.2%
Papers in
-
- Neutrino Physics Research 41
- Particle Detector Development and Performance 27
- Particle physics theoretical and experimental studies 20
-
- Circadian rhythm and melatonin 44
- Co-authors
- Jianlin Jack Cheng (15 shared papers)Arlo Z. Randall (20 shared papers)Laurent Itti (9 shared papers)Peter Sadowski (20 shared papers)Anthony D. Long (2 shared papers)Yves Chauvin (16 shared papers)Kurt Hornik (4 shared papers)Søren Brunak (17 shared papers)
- Journals
- Bioinformatics (36 papers)Physical review. D (26 papers)Journal of Chemical Information and Modeling (24 papers)Proceedings of the National Academy of Sciences (14 papers)Neural Networks (13 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Pierre Baldi
498 papers receiving 39.3k citations
Pierre Baldi's Hit Papers
Peers
Comparison fields: 5 of 224
- Endocrine and Autonomic Systems 3.4k
- Health Informatics 472
- Molecular Biology 12k
- Computational Theory and Mathematics 2.4k
- Artificial Intelligence 4.6k
Countries citing papers authored by Pierre Baldi
This map shows the geographic impact of Pierre Baldi'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 Pierre Baldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Baldi more than expected).
Fields of papers citing papers by Pierre Baldi
This network shows the impact of papers produced by Pierre Baldi. 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 Pierre Baldi. The network helps show where Pierre Baldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Baldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 513 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Assessing the accuracy of prediction algorithms for classification: an overview Hit paper breakdown → | 2000 | 1742 |
| 2 | A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes Hit paper breakdown → | 2001 | 1315 |
| 3 | Neural networks and principal component analysis: Learning from examples without local minima Hit paper breakdown → | 1989 | 943 |
| 4 | Bayesian surprise attracts human attention Hit paper breakdown → | 2008 | 911 |
| 5 | Prediction of protein stability changes for single‐site mutations using support vector machines Hit paper breakdown → | 2005 | 885 |
| 6 | SCRATCH: a protein structure and structural feature prediction server Hit paper breakdown → | 2005 | 880 |
| 7 | Autoencoders, Unsupervised Learning, and Deep Architectures Hit paper breakdown → | 2011 | 817 |
| 8 | Searching for exotic particles in high-energy physics with deep learning Hit paper breakdown → | 2014 | 785 |
| 9 | Mitochondrial mutations in cancer Hit paper breakdown → | 2006 | 691 |
| 10 | 2002 | 601 | |
| 11 | Reprogramming of the Circadian Clock by Nutritional Challenge Hit paper breakdown → | 2013 | 594 |
| 12 | Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy Hit paper breakdown → | 2018 | 585 |
| 13 | 2009 | 539 | |
| 14 | 2006 | 516 | |
| 15 | Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules Hit paper breakdown → | 2013 | 446 |
| 16 | 2010 | 432 | |
| 17 | 1999 | 389 | |
| 18 | 2013 | 385 | |
| 19 | Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas Hit paper breakdown → | 2018 | 382 |
| 20 | 1994 | 374 |
About Pierre Baldi
Pierre Baldi is a scholar working on Nuclear and High Energy Physics, Endocrine and Autonomic Systems, Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology, having authored 513 papers that have together received 40.7k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (44 papers), Neural Networks and Applications (42 papers), Protein Structure and Dynamics (42 papers), Neutrino Physics Research (41 papers), Computational Drug Discovery Methods (40 papers), Particle Detector Development and Performance (27 papers), Machine Learning in Bioinformatics (21 papers) and Particle physics theoretical and experimental studies (20 papers). The work is most often cited by research in Endocrine and Autonomic Systems (3.4k citations), Health Informatics (472 citations), Molecular Biology (12k citations), Computational Theory and Mathematics (2.4k citations) and Artificial Intelligence (4.6k citations). Pierre Baldi has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Jianlin Jack Cheng, Arlo Z. Randall, Laurent Itti, Peter Sadowski, Anthony D. Long, Yves Chauvin, Kurt Hornik, Søren Brunak, Gianluca Pollastri and Michael J. Sweredoski. Their work appears in journals such as Bioinformatics, Physical review. D, Journal of Chemical Information and Modeling, Proceedings of the National Academy of Sciences and Neural Networks.
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.