Andreas B. Neubauer

116 papers receiving 6.8k citations

Andreas B. Neubauer's Hit Papers

Ecological Momentary Assessment: A Meta-Analysis on Designs, Samples, and Compliance Across Research Fields 2022 · 210 citations
2100+12+24Years since publication10002.0k3.0k

Peers

Andreas B. Neubauer
Comparison fields: 5 of 191
  • Mathematical Physics 3.8k
  • Numerical Analysis 562
  • Applied Mathematics 994
  • Computational Mechanics 1.5k
  • Applied Psychology 312
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Countries citing papers authored by Andreas B. Neubauer

Since Specialization
Citations

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

Fields of papers citing papers by Andreas B. Neubauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas B. Neubauer. 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 Andreas B. Neubauer. The network helps show where Andreas B. Neubauer may publish in the future.

Co-authors

The 25 scholars most cited alongside Andreas B. Neubauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andreas B. Neubauer Line = papers co-authored together Andreas B. Neubauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Regularization of Inverse Problems
Hit paper breakdown →
19963536
2
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
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2008447
3
A convergence analysis of the Landweber iteration for nonlinear ill-posed problems
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1995387
4
Convergence rates for Tikhonov regularisation of non-linear ill-posed problems
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1989360
5 1997215
6
Ecological Momentary Assessment: A Meta-Analysis on Designs, Samples, and Compliance Across Research Fields
Hit paper breakdown →
2022210
7 198988
8 201871
9 201959
10 198859
11 202158
12 200558
13 200054
14 201752
15 199750
16 201749
17 201948
18 200848
19 202146
20 199046

About Andreas B. Neubauer

Andreas B. Neubauer is a scholar working on Mathematical Physics, Experimental and Cognitive Psychology, Clinical Psychology, Social Psychology and Computational Mechanics, having authored 125 papers that have together received 7.3k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (54 papers), Mental Health Research Topics (22 papers), Psychological Well-being and Life Satisfaction (15 papers), Behavioral Health and Interventions (15 papers), Sparse and Compressive Sensing Techniques (14 papers), Statistical and numerical algorithms (12 papers), Image and Signal Denoising Methods (11 papers) and Child and Adolescent Psychosocial and Emotional Development (10 papers). The work is most often cited by research in Mathematical Physics (3.8k citations), Numerical Analysis (562 citations), Applied Mathematics (994 citations), Computational Mechanics (1.5k citations) and Applied Psychology (312 citations). Andreas B. Neubauer has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Heinz W. Engl, Martin Hanke, Otmar Scherzer, Barbara Kaltenbacher, Karl Kunisch, Florian Schmiedek, Cornelia Wrzus, Andreas Voß, Martin J. Sliwinski and Joshua M. Smyth. Their work appears in journals such as Inverse Problems, Developmental Psychology, Numerical Functional Analysis and Optimization, Inverse Problems and Imaging and Journal of Approximation Theory.

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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