Vijay Nair

1.7k total citations
24 papers, 1.1k citations indexed

About

Vijay Nair is a scholar working on Applied Psychology, Statistics, Probability and Uncertainty and Physiology. According to data from OpenAlex, Vijay Nair has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Applied Psychology, 6 papers in Statistics, Probability and Uncertainty and 5 papers in Physiology. Recurrent topics in Vijay Nair's work include Behavioral Health and Interventions (8 papers), Advanced Statistical Process Monitoring (5 papers) and Smoking Behavior and Cessation (5 papers). Vijay Nair is often cited by papers focused on Behavioral Health and Interventions (8 papers), Advanced Statistical Process Monitoring (5 papers) and Smoking Behavior and Cessation (5 papers). Vijay Nair collaborates with scholars based in United States, Germany and Vietnam. Vijay Nair's co-authors include Victor J. Strecher, Linda M. Collins, Susan A. Murphy, Roderick J. A. Little, Bibhas Chakraborty, Cynthia S. Pomerleau, Gwen Alexander, Sarah M. Greene, Ovide F. Pomerleau and Cheryl Wiese and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and American Journal of Public Health.

In The Last Decade

Vijay Nair

23 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vijay Nair United States 13 484 419 264 203 125 24 1.1k
Marcus Bendtsen Sweden 20 469 1.0× 559 1.3× 224 0.8× 118 0.6× 144 1.2× 101 1.2k
Jo Holliday United States 21 187 0.4× 408 1.0× 506 1.9× 179 0.9× 145 1.2× 64 1.6k
Rajani S. Sadasivam United States 19 348 0.7× 660 1.6× 331 1.3× 131 0.6× 97 0.8× 91 1.3k
Caitlin Gutheil United States 18 148 0.3× 417 1.0× 97 0.4× 135 0.7× 190 1.5× 26 1.3k
Nadine Karlsson Sweden 20 162 0.3× 468 1.1× 90 0.3× 59 0.3× 47 0.4× 50 912
Warner V. Slack United States 24 158 0.3× 530 1.3× 99 0.4× 85 0.4× 90 0.7× 73 1.9k
Sherri P. Varnell United States 10 97 0.2× 264 0.6× 101 0.4× 46 0.2× 176 1.4× 11 990
Robert Furberg United States 17 210 0.4× 548 1.3× 486 1.8× 85 0.4× 70 0.6× 39 1.5k
David Bulger Australia 14 135 0.3× 165 0.4× 82 0.3× 55 0.3× 66 0.5× 45 814
Silje C Wangberg Norway 18 347 0.7× 797 1.9× 155 0.6× 241 1.2× 118 0.9× 31 1.4k

Countries citing papers authored by Vijay Nair

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Nair. A scholar is included among the top collaborators of Vijay Nair 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 Vijay Nair. Vijay Nair 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.
Nair, Vijay, et al.. (2022). Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition. SSRN Electronic Journal. 1 indexed citations
2.
Nair, Vijay, et al.. (2018). A Machine Learning Algorithm for Product Classification based on Unstructured Text Description. 7(6). 1 indexed citations
3.
McClure, Jennifer B., Do Peterson, Holly A. Derry, et al.. (2014). Exploring the “Active Ingredients” of an Online Smoking Intervention: A Randomized Factorial Trial. Nicotine & Tobacco Research. 16(8). 1129–1139. 35 indexed citations
4.
McClure, Jennifer B., Susan M. Shortreed, Andy Bogart, et al.. (2013). The Effect of Program Design on Engagement With an Internet-Based Smoking Intervention: Randomized Factorial Trial. Journal of Medical Internet Research. 15(3). e69–e69. 61 indexed citations
5.
An, Lawrence C., Matthias Kirch, Vijay Nair, et al.. (2013). A Randomized Trial of an Avatar-Hosted Multiple Behavior Change Intervention for Young Adult Smokers. JNCI Monographs. 2013(47). 209–215. 53 indexed citations
6.
Dillard, Amanda J., Peter A. Ubel, Dylan M. Smith, et al.. (2011). The Distinct Role of Comparative Risk Perceptions in a Breast Cancer Prevention Program. Annals of Behavioral Medicine. 42(2). 262–268. 29 indexed citations
7.
Holloway, James Paul, Derek Bingham, F. W. Doss, et al.. (2011). Predictive modeling of a radiative shock system. Reliability Engineering & System Safety. 96(9). 1184–1193. 12 indexed citations
8.
Resnicow, Ken, Victor J. Strecher, Mick P. Couper, et al.. (2009). Methodologic and Design Issues in Patient-Centered e-Health Research. American Journal of Preventive Medicine. 38(1). 98–102. 22 indexed citations
9.
Strecher, Victor J., Jennifer B. McClure, Gwen Alexander, et al.. (2008). Web-Based Smoking-Cessation Programs. American Journal of Preventive Medicine. 34(5). 373–381. 208 indexed citations
10.
Strecher, Victor J., Gwen Alexander, Bibhas Chakraborty, et al.. (2008). The Role of Engagement in a Tailored Web-Based Smoking Cessation Program: Randomized Controlled Trial. Journal of Medical Internet Research. 10(5). e36–e36. 214 indexed citations
11.
Nair, Vijay, Victor J. Strecher, Angela Fagerlin, et al.. (2008). Screening Experiments and the Use of Fractional Factorial Designs in Behavioral Intervention Research. American Journal of Public Health. 98(8). 1354–1359. 47 indexed citations
12.
Hallin, Marc, Jana Jurečková, Hira L. Koul, & Vijay Nair. (2007). Serial autoregression and regression rank score statistics. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 335–362. 1 indexed citations
13.
Nair, Vijay. (2007). Advances in Statistical Modeling and Inference. WORLD SCIENTIFIC eBooks. 6 indexed citations
14.
Collins, Linda M., Susan A. Murphy, Vijay Nair, & Victor J. Strecher. (2005). A strategy for optimizing and evaluating behavioral interventions. Annals of Behavioral Medicine. 30(1). 65–73. 341 indexed citations
15.
Lawrence, Earl, George Michailidis, & Vijay Nair. (2005). Local area network analysis using end-to-end delay tomography. ACM SIGMETRICS Performance Evaluation Review. 33(3). 39–45. 2 indexed citations
16.
Nair, Vijay. (2005). Comment. CHANCE. 18(4). 15–16. 2 indexed citations
17.
Mease, David & Vijay Nair. (2003). Variance Reduction Techniques for Reliability Estimation Using CAE Models. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
18.
Wu, Huaiqing, et al.. (2002). PID Charts for Process Monitoring. Technometrics. 5 indexed citations
19.
Nair, Vijay, Mark Hansen, & Jianjun Shi. (2000). Statistics in Advanced Manufacturing. Journal of the American Statistical Association. 95(451). 1002–1005. 12 indexed citations
20.
Nair, Vijay. (1986). On testing against ordered alternatives in analysis of variance models. Biometrika. 73(2). 493–499. 8 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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