John P. A. Ioannidis

According to our database, John P. A. Ioannidis authored at least 21 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evolving patterns of extreme publishing behavior across science.

John P. A. Ioannidis, Thomas A. Collins, Jeroen Baas

Scientometrics, September, 2024

EU-US data transfers: an enduring challenge for health research collaborations.

Teodora Lalova-Spinks, Peggy Valcke, John P. A. Ioannidis, Isabelle Huys

npj Digit. Medicine, 2024

Metrics to Detect Small-Scale and Large-Scale Citation Orchestration.

Iakovos Evdaimon, John P. A. Ioannidis, Giannis Nikolentzos, Michail Chatzianastasis, George Panagopoulos, Michalis Vazirgiannis

CoRR, 2024

2023

Prolific non-research authors in high impact scientific journals: meta-research study.

John P. A. Ioannidis

Scientometrics, May, 2023

Ten (not so) simple rules for clinical trial data-sharing.

Claude Pellen, Anne Le Louarn, Gilliosa Spurrier-Bernard, Evelyne Decullier, Jean-Marie Chrétien, Eric Rosenthal, Gérard Le Goff, David Moher, John P. A. Ioannidis, Florian Naudet

PLoS Comput. Biol., March, 2023

2021

Comprehensive mapping of local and diaspora scientists: A database and analysis of 63, 951 Greek scientists.

John P. A. Ioannidis, Chara Koutsioumpa, Angeliki Vakka, Georgios Agoranos, Chrysanthi Mantsiou, Maria Kyriaki Drekolia, Nikos Avramidis, Despina G. Contopoulos-Ioannidis, Konstantinos Drosatos, Jeroen Baas

Quant. Sci. Stud., 2021

2020

Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990-2012) and of latest practices (2017-2018) in high-impact journals.

Dénes Szücs, John P. A. Ioannidis

NeuroImage, 2020

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care.

Tina Hernandez-Boussard, Selen Bozkurt, John P. A. Ioannidis, Nigam H. Shah

J. Am. Medical Informatics Assoc., 2020

Empirical assessment of bias in machine learning diagnostic test accuracy studies.

Ryan J. Crowley, Yuan Jin Tan, John P. A. Ioannidis

J. Am. Medical Informatics Assoc., 2020

Reporting of demographic data and representativeness in machine learning models using electronic health records.

Selen Bozkurt, Eli M. Cahan, Martin G. Seneviratne, Ran Sun, Juan Antonio Lossio-Ventura, John P. A. Ioannidis, Tina Hernandez-Boussard

J. Am. Medical Informatics Assoc., 2020

2018

Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness.

Sebastian J. Vollmer, Bilal A. Mateen, Gergo Bohner, Franz J. Király, Rayid Ghani, Pall Jonsson, Sarah Cumbers, Adrian Jonas, Katherine S. L. McAllister, Puja Myles, David Granger, Mark Birse, Richard Branson, Karel G. M. Moons, Gary S. Collins, John P. A. Ioannidis, Chris C. Holmes, Harry Hemingway

CoRR, 2018

2017

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.

Benjamin Alan Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis

J. Am. Medical Informatics Assoc., 2017

Session Introduction.

Konrad J. Karczewski, Nicholas P. Tatonetti, Chirag J. Patel, Arjun K. Manrai, C. Titus Brown, John P. A. Ioannidis

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2016

Session Introduction.

Arjun K. Manrai, Chirag J. Patel, Nils Gehlenborg, Nicholas P. Tatonetti, John P. A. Ioannidis, Isaac S. Kohane

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

A Systematic Review of Using Electronic Heath Records to Predict Clinical Events: Assessment of Opportunities and Challenges.

Benjamin Alan Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis

Proceedings of the Summit on Clinical Research Informatics, 2016

2014

HELOW: A program for testing extreme homogeneity in meta-analysis.

Elias Zintzaras, John P. A. Ioannidis

Comput. Methods Programs Biomed., 2014

A Web-based database of genetic association studies in cutaneous melanoma enhanced with network-driven data exploration tools.

Emmanouil Athanasiadis, Kyriaki Antonopoulou, Foteini Chatzinasiou, Christina M. Lill, Marilena M. Bourdakou, Argiris Sakellariou, Katerina Kypreou, Irene Stefanaki, Evangelos Evangelou, John P. A. Ioannidis, Lars Bertram, Alexander J. Stratigos, George M. Spyrou

Database J. Biol. Databases Curation, 2014

2012

METRADISC-XL: A program for meta-analysis of multidimensional ranked discovery oriented datasets including microarrays.

Elias Zintzaras, John P. A. Ioannidis

Comput. Methods Programs Biomed., 2012

2011

An empirical assessment of validation practices for molecular classifiers.

Peter J. Castaldi, Issa J. Dahabreh, John P. A. Ioannidis

Briefings Bioinform., 2011

2008

Meta-analysis for ranked discovery datasets: Theoretical framework and empirical demonstration for microarrays.

Elias Zintzaras, John P. A. Ioannidis

Comput. Biol. Chem., 2008

2005

HEGESMA: genome search meta-analysis and heterogeneity testing.

Elias Zintzaras, John P. A. Ioannidis

Bioinform., 2005