James Wagner

5.4k total citations · 2 hit papers
84 papers, 3.9k citations indexed

About

James Wagner is a scholar working on Sociology and Political Science, Economics and Econometrics and Signal Processing. According to data from OpenAlex, James Wagner has authored 84 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Sociology and Political Science, 30 papers in Economics and Econometrics and 15 papers in Signal Processing. Recurrent topics in James Wagner's work include Survey Methodology and Nonresponse (45 papers), Healthcare Policy and Management (24 papers) and Economic and Environmental Valuation (17 papers). James Wagner is often cited by papers focused on Survey Methodology and Nonresponse (45 papers), Healthcare Policy and Management (24 papers) and Economic and Environmental Valuation (17 papers). James Wagner collaborates with scholars based in United States, Norway and Netherlands. James Wagner's co-authors include Fiona S. L. Brinkman, Nancy Yu, Gabor Melli, Martin Ester, Leonard J. Foster, Matthew R. Laird, Raymond Lo, S. Cenk Şahinalp, Phuong Dao and Steven G. Heeringa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

James Wagner

75 papers receiving 3.8k citations

Hit Papers

PSORTb 3.0: improved prot... 2004 2026 2011 2018 2010 2004 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James Wagner 1.5k 989 471 357 352 84 3.9k
Ben Jann 982 0.7× 1.1k 1.2× 667 1.4× 375 1.1× 875 2.5× 152 5.6k
Immo Kleinschmidt 744 0.5× 493 0.5× 331 0.7× 873 2.4× 379 1.1× 215 11.1k
T. M. F. Smith 709 0.5× 373 0.4× 183 0.4× 272 0.8× 370 1.1× 96 3.6k
Penelope A. Phillips‐Howard 614 0.4× 572 0.6× 299 0.6× 705 2.0× 220 0.6× 236 11.7k
Christian Lengeler 516 0.3× 260 0.3× 773 1.6× 475 1.3× 499 1.4× 169 11.9k
Mattia Prosperi 762 0.5× 239 0.2× 208 0.4× 636 1.8× 108 0.3× 224 4.2k
Jon Cohen 850 0.6× 443 0.4× 84 0.2× 1.2k 3.3× 376 1.1× 472 5.6k
Neâl Alexander 415 0.3× 398 0.4× 594 1.3× 1.4k 3.8× 163 0.5× 270 8.6k
Yonatan H. Grad 1.5k 1.0× 218 0.2× 169 0.4× 1.4k 4.0× 523 1.5× 142 7.6k
Dean A. Regier 834 0.6× 200 0.2× 176 0.4× 807 2.3× 2.2k 6.2× 146 6.6k

Countries citing papers authored by James Wagner

Since Specialization
Citations

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

Fields of papers citing papers by James Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of James Wagner. A scholar is included among the top collaborators of James Wagner 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 James Wagner. James Wagner 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.
White, Elizabeth M., James Wagner, Kate Stewart, et al.. (2025). The National Dementia Workforce Study: Methods for Surveying Community Clinicians Who Provide Care to People With Dementia. Journal of the American Geriatrics Society. 73(11). 3327–3335. 1 indexed citations
2.
Wagner, James, Laura M. Wagner, Sheryl Zimmerman, et al.. (2025). The National Dementia Workforce Study: The Plan for Organization Sample Frames and Data Collection. Journal of the American Geriatrics Society. 73(11). 3336–3343.
3.
Maust, Donovan T., James Wagner, Sheryl Zimmerman, et al.. (2025). The National Dementia Workforce Study: Overview. Journal of the American Geriatrics Society. 73(11). 3318–3326.
5.
Gabbay, Frances H., Gary H. Wynn, Matthew W. Georg, et al.. (2024). Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia. Journal of Clinical Sleep Medicine. 20(6). 921–931. 3 indexed citations
6.
Wagner, James, et al.. (2024). Using a Stopping Rule to Optimize Cost-Quality Tradeoffs in a Large, Mixed-Mode Survey: A Simulation Study. Journal of Official Statistics. 41(1). 329–364.
7.
Kessler, Ronald C., Robert M. Bossarte, Irving Hwang, et al.. (2024). A prediction model for differential resilience to the effects of combat‐related stressors in US army soldiers. International Journal of Methods in Psychiatric Research. 33(4). e70006–e70006. 3 indexed citations
8.
Zhang, Shiyu, et al.. (2023). Incorporating Adaptive Survey Design in a Two-Stage National Web or Mail Mixed-Mode Survey: An Experiment in the American Family Health Study. Journal of Survey Statistics and Methodology. 12(3). 578–592. 1 indexed citations
9.
Wagner, James, et al.. (2023). Proxy Survey Cost Indicators in Interviewer-Administered Surveys: Are they Actually Correlated with Costs?. Journal of Survey Statistics and Methodology. 12(4). 932–960. 1 indexed citations
10.
Gabbay, Frances H., Gary H. Wynn, Matthew W. Georg, et al.. (2023). Toward personalized care for insomnia in the US Army: development of a machine-learning model to predict response to pharmacotherapy. Journal of Clinical Sleep Medicine. 19(8). 1399–1410. 2 indexed citations
11.
Wagner, James, Mick P. Couper, William G. Axinn, & Heather Gatny. (2019). The utility of a follow-up interview for respondents to a longitudinal survey with frequent measurement. Social Science Research. 82. 113–125. 1 indexed citations
12.
Couper, Mick P., et al.. (2018). New options for national population surveys: The implications of internet and smartphone coverage. Social Science Research. 73. 221–235. 34 indexed citations
13.
Wagner, James, et al.. (2017). Database Forensic Analysis with DBCarver. Conference on Innovative Data Systems Research. 13 indexed citations
14.
Wagner, James, et al.. (2015). TraClus-DL: A Desire Line Clustering Framework to Identify Demand Corridors. Transportation Research Board 94th Annual MeetingTransportation Research Board. 3 indexed citations
15.
Wagner, James, et al.. (2012). Use of Paradata in a Responsive Design Framework to Manage a Field Data Collection. Journal of Official Statistics. 28(4). 477–499. 46 indexed citations
16.
Wagner, James. (2012). A Comparison of Alternative Indicators for the Risk of Nonresponse Bias. Public Opinion Quarterly. 76(3). 555–575. 69 indexed citations
17.
Wagner, James, Bing Ge, Dmitry Pokholok, et al.. (2010). Computational Analysis of Whole-Genome Differential Allelic Expression Data in Human. PLoS Computational Biology. 6(7). e1000849–e1000849. 24 indexed citations
18.
Flanagan, James R., et al.. (1995). Cost-effective health information systems: user-driven internal development at the University of Iowa.. PubMed. 703–7. 1 indexed citations
19.
Galvin, Jeffrey R., Michael P. D’Alessandro, William E. Erkonen, et al.. (1995). The Virtual Hospital: An IAIMS on the Internet Focused on Education via Integration of Continuing Education into the Workflow. PubMed Central. 1028–1028. 1 indexed citations
20.
Wagner, James, et al.. (1990). HERBEXPERT - a computer-aided system for individual herbicide recommendation in cereals.. Zeitschrift für Pflanzenkrankheiten und Pflanzenschutz. 191–195. 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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