Stephen H. Bell

965 total citations
28 papers, 666 citations indexed

About

Stephen H. Bell is a scholar working on Statistics and Probability, General Health Professions and Management Science and Operations Research. According to data from OpenAlex, Stephen H. Bell has authored 28 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 11 papers in General Health Professions and 10 papers in Management Science and Operations Research. Recurrent topics in Stephen H. Bell's work include Advanced Causal Inference Techniques (14 papers), Evaluation and Performance Assessment (8 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Stephen H. Bell is often cited by papers focused on Advanced Causal Inference Techniques (14 papers), Evaluation and Performance Assessment (8 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Stephen H. Bell collaborates with scholars based in United States, Nepal and New Zealand. Stephen H. Bell's co-authors include Robert B. Olsen, Larry L. Orr, Elizabeth A. Stuart, Michelle Wood, Scott R. Brown, Marybeth Shinn, Samuel Dastrup, Daniel Gubits, Cristofer Price and Michael J. Puma and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Industrial and Labor Relations Review.

In The Last Decade

Stephen H. Bell

26 papers receiving 570 citations

Peers

Stephen H. Bell

GHP

SPS

EDUCA

James Riccio United States

Thomas Fraker United States

Maria Gannon United Kingdom

Marie‐Andrée Somers United States

R. Mark Gritz United States

Nandita Verma United States

Margherita Fort Italy

Charles R. Link United States

Wallace K. C. Mok United States

Beth Osborne Daponte United States

James Riccio United States

Stephen H. Bell

254 ×0.8

GHP

71 ×0.4

204 ×1.3

SPS

182 ×1.3

131 ×1.1

EDUCA

Citations per year, relative to Stephen H. Bell Stephen H. Bell (= 1×) peers James Riccio

Countries citing papers authored by Stephen H. Bell

Since Specialization

Citations

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

Fields of papers citing papers by Stephen H. Bell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen H. Bell. 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 Stephen H. Bell. The network helps show where Stephen H. Bell may publish in the future.

Co-authorship network of co-authors of Stephen H. Bell

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen H. Bell. A scholar is included among the top collaborators of Stephen H. Bell 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 Stephen H. Bell. Stephen H. Bell 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

Olsen, Robert B., et al.. (2023). Using a Multi-Site RCT to Predict Impacts for a Single Site: Do Better Data and Methods Yield More Accurate Predictions?. Journal of Research on Educational Effectiveness. 17(1). 184–210. 2 indexed citations

Klerman, Jacob Alex, Ronette Briefel, Gretchen Rowe, et al.. (2018). A Summer Nutrition Benefit Pilot Program and Low-income Children’s Food Security. PEDIATRICS. 141(4). e20171657–e20171657. 23 indexed citations

Gubits, Daniel, Marybeth Shinn, Michelle Wood, et al.. (2018). What Interventions Work Best for Families Who Experience Homelessness? Impact Estimates from the Family Options Study. Journal of Policy Analysis and Management. 37(4). 835–866. 76 indexed citations

Gubits, Daniel, Marybeth Shinn, Stephen H. Bell, et al.. (2017). Family Options Study: Short-Term Impacts of Housing and Services Interventions for Homeless Families. SSRN Electronic Journal. 44 indexed citations

Olsen, Robert B., Stephen H. Bell, & Austin Nichols. (2017). Using Preferred Applicant Random Assignment (PARA) to Reduce Randomization Bias in Randomized Trials of Discretionary Programs. Journal of Policy Analysis and Management. 37(1). 167–180. 1 indexed citations

Klerman, Jacob Alex, et al.. (2017). The Effects the Summer Electronic Benefits Transfer for Children Demonstration has on Children’s Food Security. Applied Economic Perspectives and Policy. 39(3). 516–532. 13 indexed citations

Bell, Stephen H. & Laura R. Peck. (2016). On the Feasibility of Extending Social Experiments to Wider Applications. SHILAP Revista de lepidopterología. 12(27). 93–111. 6 indexed citations

Gubits, Daniel, Marybeth Shinn, Michelle Wood, et al.. (2016). Family Options Study: 3-Year Impacts of Housing and Services Interventions for Homeless Families. SSRN Electronic Journal. 85 indexed citations

Bell, Stephen H., Robert B. Olsen, Larry L. Orr, & Elizabeth A. Stuart. (2016). Estimates of External Validity Bias When Impact Evaluations Select Sites Nonrandomly. Educational Evaluation and Policy Analysis. 38(2). 318–335. 30 indexed citations

10.

Bell, Stephen H. & Laura R. Peck. (2016). On the “How” of Social Experiments: Experimental Designs for Getting Inside the Black Box. New Directions for Evaluation. 2016(152). 97–107. 10 indexed citations

11.

Paine, Shevaun, Craig Thornley, Muriel Dufour, et al.. (2014). An Outbreak of Multiple Serotypes of Salmonella in New Zealand Linked to Consumption of Contaminated Tahini Imported from Turkey. Foodborne Pathogens and Disease. 11(11). 887–892. 27 indexed citations

12.

Peck, Laura R., et al.. (2013). On Overfitting in Analysis of Symmetrically Predicted Endogenous Subgroups From Randomized Experimental Samples. American Journal of Evaluation. 34(4). 545–566. 11 indexed citations

13.

Stuart, Elizabeth A., Robert B. Olsen, Stephen H. Bell, & Larry L. Orr. (2012). Estimates of External Validity Bias When Impact Evaluations Select Sites Purposively.. Society for Research on Educational Effectiveness. 1 indexed citations

14.

Olsen, Robert B., Larry L. Orr, Stephen H. Bell, & Elizabeth A. Stuart. (2012). External Validity in Policy Evaluations That Choose Sites Purposively. Journal of Policy Analysis and Management. 32(1). 107–121. 81 indexed citations

15.

Bell, Stephen H. & Laura R. Peck. (2012). Obstacles to and Limitations of Social Experiments: 15 False Alarms. 2 indexed citations

16.

Puma, Michael J., Robert B. Olsen, Stephen H. Bell, & Cristofer Price. (2009). What to Do when Data Are Missing in Group Randomized Controlled Trials. NCEE 2009-0049.. 85 indexed citations

17.

Leiter, Valerie, et al.. (1997). Case management at work for SSA disability beneficiaries: process results of the Project NetWork return-to-work demonstration.. PubMed. 60(1). 29–48. 7 indexed citations

18.

Bell, Stephen H., et al.. (1997). Program Applicants As a Comparison Group in Evaluating Training Programs.. Industrial and Labor Relations Review. 50(2). 366–366. 33 indexed citations

19.

Bell, Stephen H., et al.. (1995). Program Applicants as a Comparison Group in Evaluating Training Programs: Theory and a Test. Upjohn Research (W.E. Upjohn Institute for Employment Research). 51 indexed citations

20.

Rupp, Kalman, et al.. (1994). Design of the Project NetWork return-to-work experiment for persons with disabilities.. PubMed. 57(2). 3–20. 21 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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