Janos Hajagos

2.0k total citations
25 papers, 546 citations indexed

About

Janos Hajagos is a scholar working on Artificial Intelligence, Molecular Biology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Janos Hajagos has authored 25 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Molecular Biology and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Janos Hajagos's work include Biomedical Text Mining and Ontologies (7 papers), Machine Learning in Healthcare (5 papers) and Probabilistic and Robust Engineering Design (5 papers). Janos Hajagos is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Machine Learning in Healthcare (5 papers) and Probabilistic and Robust Engineering Design (5 papers). Janos Hajagos collaborates with scholars based in United States, Netherlands and Ireland. Janos Hajagos's co-authors include Scott Ferson, Susie Stephens, Michael S. Marshall, Elgar Pichler, Matthias Samwald, Egon Willighagen, Eric Prud’hommeaux, Joel Saltz, Anja Jentzsch and Christopher M. L. S. Bouton and has published in prestigious journals such as Journal of the American Medical Informatics Association, Reliability Engineering & System Safety and Surgical Endoscopy.

In The Last Decade

Janos Hajagos

24 papers receiving 516 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Janos Hajagos United States 12 181 132 130 98 73 25 546
Cristiana Larizza Italy 17 427 2.4× 136 1.0× 13 0.1× 41 0.4× 50 0.7× 60 1.2k
Hojin Moon United States 12 193 1.1× 156 1.2× 17 0.1× 29 0.3× 36 0.5× 34 602
Niels Rode Kristensen Denmark 15 55 0.3× 142 1.1× 40 0.3× 31 0.3× 18 0.2× 30 1.0k
Abhishek Pandey India 15 279 1.5× 257 1.9× 11 0.1× 32 0.3× 32 0.4× 70 915
Alex Karagrigoriou Greece 14 57 0.3× 115 0.9× 96 0.7× 9 0.1× 63 0.9× 78 795
Samuel H. Brooks United States 17 101 0.6× 24 0.2× 50 0.4× 93 0.9× 68 0.9× 29 811
Dennis Gilliland United States 14 61 0.3× 57 0.4× 32 0.2× 12 0.1× 39 0.5× 56 511
K. B. Kulasekera United States 16 129 0.7× 39 0.3× 154 1.2× 16 0.2× 94 1.3× 52 758
Amin Mansoori Iran 17 202 1.1× 36 0.3× 4 0.0× 107 1.1× 45 0.6× 57 702
Huda M. Alshanbari Saudi Arabia 15 66 0.4× 28 0.2× 212 1.6× 19 0.2× 145 2.0× 75 671

Countries citing papers authored by Janos Hajagos

Since Specialization
Citations

This map shows the geographic impact of Janos Hajagos'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 Janos Hajagos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janos Hajagos more than expected).

Fields of papers citing papers by Janos Hajagos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janos Hajagos. 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 Janos Hajagos. The network helps show where Janos Hajagos may publish in the future.

Co-authorship network of co-authors of Janos Hajagos

This figure shows the co-authorship network connecting the top 25 collaborators of Janos Hajagos. A scholar is included among the top collaborators of Janos Hajagos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Janos Hajagos. Janos Hajagos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Koraishy, Farrukh M., Beth E. Cohen, Jeffrey F. Scherrer, et al.. (2023). The association of post‐traumatic stress disorder with glomerular filtration rate decline. Nephrology. 28(3). 181–186.
2.
Leese, Peter, Adit Anand, Andrew T. Girvin, et al.. (2023). Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs. Journal of the American Medical Informatics Association. 30(6). 1125–1136. 5 indexed citations
3.
Wong, Rachel, Jianyuan Deng, Janos Hajagos, et al.. (2022). An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction. Artificial Intelligence in Medicine. 135. 102439–102439. 20 indexed citations
4.
Deng, Jianyuan, Wei Hou, Janos Hajagos, et al.. (2021). A Large-Scale Observational Study on the Temporal Trends and Risk Factors of Opioid Overdose: Real-World Evidence for Better Opioids. Drugs - Real World Outcomes. 8(3). 393–406. 5 indexed citations
5.
Hajagos, Janos, Joel Saltz, Minh Hoai, et al.. (2021). Short- and Long-Term Recovery after Moderate/Severe AKI in Patients with and without COVID-19. Kidney360. 3(2). 242–257. 12 indexed citations
6.
Rashidian, Sina, Janos Hajagos, Richard A. Moffitt, et al.. (2020). Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach. JMIR Medical Informatics. 8(12). e22649–e22649. 4 indexed citations
7.
Moffitt, Richard A., Minh Hoai, Janos Hajagos, et al.. (2020). Association of Proteinuria and Hematuria with Acute Kidney Injury and Mortality in Hospitalized Patients with COVID-19. Kidney & Blood Pressure Research. 45(6). 1018–1032. 39 indexed citations
8.
Hajagos, Janos, et al.. (2020). Abstract 184: The Effect Of Insurance Payer Type On Outcomes And Readmission Rates In Patients Undergoing Breast Reconstruction. Plastic & Reconstructive Surgery Global Open. 8(4S). 124–125. 2 indexed citations
9.
Rashidian, Sina, Janos Hajagos, Richard A. Moffitt, et al.. (2019). Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy.. PubMed. 2019. 620–629. 16 indexed citations
10.
Muffly, Tyler M., et al.. (2019). Medicare Patient Referral Networks to Female Pelvic Medicine and Reconstructive Surgeons Across the United States. Female Pelvic Medicine & Reconstructive Surgery. 27(2). 126–130. 2 indexed citations
11.
Rashidian, Sina, Yu Wang, Janos Hajagos, et al.. (2019). Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records.. PubMed. 2019. 389–398. 36 indexed citations
12.
Almeida, Jonas S., Janos Hajagos, Joel Saltz, & Mary Saltz. (2019). Serverless OpenHealth at data commons scale—traversing the 20 million patient records of New York’s SPARCS dataset in real-time. PeerJ. 7. e6230–e6230. 5 indexed citations
13.
Altieri, Maria S., Jie Yang, Janos Hajagos, et al.. (2018). Evaluation of VTE prophylaxis and the impact of alternate regimens on post-operative bleeding and thrombotic complications following bariatric procedures. Surgical Endoscopy. 32(12). 4805–4812. 19 indexed citations
14.
Marshall, Michael S., Richard D. Boyce, Helena Deus, et al.. (2012). Emerging practices for mapping and linking life sciences data using RDF — A case series. Journal of Web Semantics. 14. 2–13. 50 indexed citations
15.
Marshall, Michael S., Richard D. Boyce, Helena Deus, et al.. (2012). Emerging Practices for Mapping and Linking Life Sciences Data Using RDF - A Case Series. SSRN Electronic Journal. 2 indexed citations
16.
Samwald, Matthias, Anja Jentzsch, Christopher M. L. S. Bouton, et al.. (2011). Linked open drug data for pharmaceutical research and development. Journal of Cheminformatics. 3(1). 19–19. 121 indexed citations
17.
Крейнович, Владик, Luc Longpré, Scott A. Starks, et al.. (2006). Interval versions of statistical techniques with applications to environmental analysis, bioinformatics, and privacy in statistical databases. Journal of Computational and Applied Mathematics. 199(2). 418–423. 17 indexed citations
18.
Ferson, Scott & Janos Hajagos. (2006). Varying correlation coefficients can underestimate uncertainty in probabilistic models. Reliability Engineering & System Safety. 91(10-11). 1461–1467. 23 indexed citations
19.
Hajagos, Janos. (2006). Interval Monte Carlo as an Alternative to Second-Order Sampling for Estimating Ecological Risk. Reliable Computing. 13(1). 71–81. 8 indexed citations
20.
Hajagos, Janos, et al.. (2001). A visual survey of the inshore fish communities of Gran Canaria (Canary Islands).. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 3 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Cristiana Larizza Breakdown of academic impact, for papers by Hojin Moon Breakdown of academic impact, for papers by Niels Rode Kristensen Breakdown of academic impact, for papers by Abhishek Pandey Breakdown of academic impact, for papers by Alex Karagrigoriou Breakdown of academic impact, for papers by Samuel H. Brooks Breakdown of academic impact, for papers by Dennis Gilliland Breakdown of academic impact, for papers by K. B. Kulasekera Breakdown of academic impact, for papers by Amin Mansoori Breakdown of academic impact, for papers by Huda M. Alshanbari
Rankless by CCL
2026