Daniel C. Schneider

770 total citations · 1 hit paper
12 papers, 437 citations indexed

About

Daniel C. Schneider is a scholar working on Health, General Health Professions and Psychiatry and Mental health. According to data from OpenAlex, Daniel C. Schneider has authored 12 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, 3 papers in General Health Professions and 3 papers in Psychiatry and Mental health. Recurrent topics in Daniel C. Schneider's work include Health disparities and outcomes (6 papers), Global Health Care Issues (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Daniel C. Schneider is often cited by papers focused on Health disparities and outcomes (6 papers), Global Health Care Issues (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Daniel C. Schneider collaborates with scholars based in Germany, Finland and United Kingdom. Daniel C. Schneider's co-authors include Sebastian Kripfganz, Mikko Myrskylä, Neil K. Mehta, Jo Mhairi Hale, Alice Goisis, Jutta Gampe, Carlos Díaz-Venegas, Anna Oksuzyan, Rune Lindahl‐Jacobsen and Lisbeth Aagaard Larsen and has published in prestigious journals such as PLoS ONE, International Journal of Epidemiology and The Journals of Gerontology Series A.

In The Last Decade

Daniel C. Schneider

11 papers receiving 422 citations

Hit Papers

Response Surface Regressions for Critical Value Bounds an... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Daniel C. Schneider
Daniel C. Schneider
Citations per year, relative to Daniel C. Schneider Daniel C. Schneider (= 1×) peers Xiangrong Li

Countries citing papers authored by Daniel C. Schneider

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Schneider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Schneider

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

All Works

12 of 12 papers shown
1.
Hale, Jo Mhairi, et al.. (2024). Trends in Memory Function and Memory Impairment Among Older Adults in the United States and Europe, 1996–2018. The Journals of Gerontology Series A. 79(Supplement_1). S11–S21. 2 indexed citations
2.
Schneider, Daniel C., Mikko Myrskylä, & Alyson van Raalte. (2023). Flexible transition timing in discrete-time multistate life tables using Markov chains with rewards. Population Studies. 78(3). 413–427. 4 indexed citations
3.
Dudel, Christian & Daniel C. Schneider. (2021). How bad could it be? Worst-case bounds on bias in multistate models due to unobserved transitions. Sociological Methods & Research. 52(4). 1816–1837. 1 indexed citations
4.
Hale, Jo Mhairi, Daniel C. Schneider, Neil K. Mehta, & Mikko Myrskylä. (2020). Cognitive impairment in the U.S.: Lifetime risk, age at onset, and years impaired. SSM - Population Health. 11. 100577–100577. 84 indexed citations
5.
Hale, Jo Mhairi, Daniel C. Schneider, Jutta Gampe, Neil K. Mehta, & Mikko Myrskylä. (2020). Trends in the Risk of Cognitive Impairment in the United States, 1996–2014. Epidemiology. 31(5). 745–754. 56 indexed citations
6.
Kripfganz, Sebastian & Daniel C. Schneider. (2020). Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models1. Oxford Bulletin of Economics and Statistics. 82(6). 1456–1481. 208 indexed citations breakdown →
8.
Goisis, Alice, Daniel C. Schneider, & Mikko Myrskylä. (2018). Secular changes in the association between advanced maternal age and the risk of low birth weight: A cross-cohort comparison in the UK. Population Studies. 72(3). 381–397. 19 indexed citations
9.
Schneider, Daniel C., et al.. (2017). Current Results from the QuakeFinder Statistical Analysis Framework. AGUFM. 2017. 2 indexed citations
10.
Díaz-Venegas, Carlos, Daniel C. Schneider, Mikko Myrskylä, & Neil K. Mehta. (2017). Life expectancy with and without cognitive impairment by diabetes status among older Americans. PLoS ONE. 12(12). e0190488–e0190488. 17 indexed citations
11.
Goisis, Alice, Daniel C. Schneider, & Mikko Myrskylä. (2016). The reversing association between advanced maternal age and child cognitive ability: evidence from three UK birth cohorts. International Journal of Epidemiology. 46(3). 850–859. 33 indexed citations
12.
Schneider, Daniel C., et al.. (2001). Automatic persistent memory management for the spotless java TM virtual machine on the palm connected organizer. 22–22. 1 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.

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