Daniel L. Oberski

4.5k total citations · 1 hit paper
93 papers, 2.4k citations indexed

About

Daniel L. Oberski is a scholar working on Statistics and Probability, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Daniel L. Oberski has authored 93 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Statistics and Probability, 25 papers in Artificial Intelligence and 22 papers in Sociology and Political Science. Recurrent topics in Daniel L. Oberski's work include Statistical Methods and Bayesian Inference (18 papers), Survey Methodology and Nonresponse (9 papers) and Advanced Causal Inference Techniques (7 papers). Daniel L. Oberski is often cited by papers focused on Statistical Methods and Bayesian Inference (18 papers), Survey Methodology and Nonresponse (9 papers) and Advanced Causal Inference Techniques (7 papers). Daniel L. Oberski collaborates with scholars based in Netherlands, United Kingdom and United States. Daniel L. Oberski's co-authors include Jeroen K. Vermunt, Aina Gallego, Sara van Erp, Joris Mulder, Zsuzsa Bakk, Raoul D. Schram, Erik–Jan van Kesteren, Laura Boeschoten, Susan Branje and Ayoub Bagheri and has published in prestigious journals such as Nature, Journal of Personality and Social Psychology and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel L. Oberski

88 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

lavaan.survey: AnRPackage for Complex Survey Analysis of Structural Equation Models

2014 319 citations Daniel L. Oberski profile →

Peers

Countries citing papers authored by Daniel L. Oberski

Since Specialization

Citations

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

Fields of papers citing papers by Daniel L. Oberski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Oberski. 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 Daniel L. Oberski. The network helps show where Daniel L. Oberski may publish in the future.

Co-authorship network of co-authors of Daniel L. Oberski

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Oberski. A scholar is included among the top collaborators of Daniel L. Oberski 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 Daniel L. Oberski. Daniel L. Oberski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A systematic literature review of time series methods applied to epidemic prediction 2024 ·Informatics in Medicine Unlocked ·(unknown), (unknown), Daniel L. Oberski	2
2	General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study 2024 ·(unknown), (unknown), Francesco Barbieri, Yozen Liu, (unknown), Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch	2
3	Methodology for biomarker discovery with reproducibility in microbiome data using machine learning 2024 ·BMC Bioinformatics ·(unknown), (unknown), Aletta D. Kraneveld, Alberto Tonda, Daniel L. Oberski, Johan Garssen, Alejandro Lopez‐Rincon	6
4	Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records 2023 ·Systematic Reviews ·(unknown), Raoul D. Schram, Jonathan De Bruin, Ayoub Bagheri, Daniel L. Oberski, Lars Tummers, (unknown), Rens van de Schoot	48
5	Clinical Applications of Artificial Intelligence in Real-World Data 2023 ·Folkert W. Asselbergs, Spiros Denaxas, Daniel L. Oberski, Jason H. Moore	2
6	A robust mRNA signature obtained via recursive ensemble feature selection predicts the responsiveness of omalizumab in moderate‐to‐severe asthma 2023 ·Clinical and Translational Allergy ·(unknown), Pietro Barbiero, Irma Meijerman, Alberto Tonda, Paula Perez‐Pardo, Píetro Lió, (unknown), Daniel L. Oberski, Aletta D. Kraneveld, Alejandro Lopez‐Rincon	5
7	Why Measurement Invariance is Important in Comparative Research. A Response to Welzel et al. (2021) 2022 ·Sociological Methods & Research ·Bart Meuleman, Tomasz Żółtak, Artur Pokropek, Eldad Davidov, Bengt Muthén, Daniel L. Oberski, Jaak Billiet, Peter Schmidt	31
8	Life-threatening ventricular arrhythmia prediction in patients with dilated cardiomyopathy using explainable electrocardiogram-based deep neural networks 2022 ·EP Europace ·Arjan Sammani, Rutger R van de Leur, Michiel T.H.M. Henkens, Mathias Meine, Peter Loh, Rutger J. Hassink, Daniel L. Oberski, Stéphane Heymans, Pieter A. Doevendans, Folkert W. Asselbergs, Anneline S.J.M. te Riele, René van Es	23
9	Privacy-preserving local analysis of digital trace data: A proof-of-concept 2022 ·Patterns ·Laura Boeschoten, Adriënne M. Mendrik, (unknown), (unknown), Haili Hu, (unknown), Daniel L. Oberski	12
10	A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care 2022 ·Frontiers in Digital Health ·Richard Bartels, Jeroen Dudink, Saskia Haitjema, Daniel L. Oberski, A. van’t Veen	15
11	An open source machine learning framework for efficient and transparent systematic reviews 2021 ·Utrecht University Repository (Utrecht University) ·Rens van de Schoot, Jonathan De Bruin, Raoul D. Schram, (unknown), (unknown), (unknown), Bianca Kramer, (unknown), (unknown), (unknown), (unknown), Joukje E. Willemsen, (unknown), (unknown), (unknown), Lars Tummers, Daniel L. Oberski	68
12	ASReview: Active learning for systematic reviews 2021 ·Zenodo (CERN European Organization for Nuclear Research) ·Rens van de Schoot, Jonathan De Bruin, Raoul D. Schram, (unknown), (unknown), (unknown), Bianca Kramer, (unknown), (unknown), (unknown), (unknown), Joukje E. Willemsen, (unknown), (unknown), Lars Tummers, Daniel L. Oberski	7
13	Propensity Score-Based Analysis of Long-Term Outcome of Patients on HeartWare and HeartMate 3 Left Ventricular Assist Device Support 2021 ·ESC Heart Failure ·(unknown), Faiz Ramjankhan, Daniel L. Oberski, Marish I.F.J. Oerlemans, Emmeke Aarts, (unknown), Joris van der Heijden, Nicolaas de Jonge, Niels P. van der Kaaij, Christiaan L. Meuwese, Mostafa M. Mokhles, (unknown), Eric E.C. de Waal, Folkert W. Asselbergs, Linda W. van Laake	14
14	Extension for COVID-19 related datasets in ASReview 2020 ·Zenodo (CERN European Organization for Nuclear Research) ·Rens van de Schoot, Jonathan De Bruin, Raoul D. Schram, (unknown), (unknown), (unknown), Bianca Kramer, (unknown), (unknown), (unknown), (unknown), Daniel L. Oberski	1
15	Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters 2020 ·Ayoub Bagheri, Arjan Sammani, P.G.M. van der Heijden, Folkert W. Asselbergs, Daniel L. Oberski	4
16	The effect of survey measurement error on clustering algorithms 2018 ·Data Archiving and Networked Services (DANS) ·(unknown), Daniel L. Oberski, Dimitris Pavlopoulos	1
17	Elevation alters ecosystem properties across temperate treelines globally 2017 ·Nature ·Jordan R. Mayor, Nathan J. Sanders, Aimée T. Classen, Richard D. Bardgett, Jean‐Christophe Clément, Alex Fajardo, Sandra Lavorel, Maja K. Sundqvist, Michael Bahn, Chelsea Chisholm, Ellen Cieraad, Ze’ev Gedalof, Karl Grigulis, Gaku Kudo, Daniel L. Oberski, David A. Wardle	222
18	testing for measurement invariance by detecting local misspecification and an illustration across online and paper-and-pencil samples 2015 ·European Political Science ·Jan Cieciuch, Eldad Davidov, Daniel L. Oberski, René Algesheimer	13
19	Places and Preferences: A Longitudinal Analysis of Self-Selection and Contextual Effects 2014 ·British Journal of Political Science ·Aina Gallego, Franz Buscha, Patrick Sturgis, Daniel L. Oberski	56
20	Local dependence in latent class models : application to voting in elections 2013 ·Data Archiving and Networked Services (DANS) ·Daniel L. Oberski, (unknown), Maurizio Carpita	1

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.

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