Tim Moses

616 total citations
72 papers, 345 citations indexed

About

Tim Moses is a scholar working on Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Tim Moses has authored 72 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Management Science and Operations Research, 32 papers in Statistics and Probability and 17 papers in Computer Networks and Communications. Recurrent topics in Tim Moses's work include Psychometric Methodologies and Testing (29 papers), Advanced Statistical Methods and Models (25 papers) and Advanced Statistical Modeling Techniques (17 papers). Tim Moses is often cited by papers focused on Psychometric Methodologies and Testing (29 papers), Advanced Statistical Methods and Models (25 papers) and Advanced Statistical Modeling Techniques (17 papers). Tim Moses collaborates with scholars based in United States and Netherlands. Tim Moses's co-authors include Paul W. Holland, Sooyeon Kim, Neil J. Dorans, Peter W. H. Holland, Daniel R. Eignor, Alina A. von Davier, Joey Yang, Alan J. Klockars, Gautam Puhan and Christine Wilson and has published in prestigious journals such as Educational and Psychological Measurement, Applied Psychological Measurement and Journal of Educational Measurement.

In The Last Decade

Tim Moses

66 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Moses United States 10 175 134 122 41 23 72 345
Sooyeon Kim United States 9 171 1.0× 79 0.6× 98 0.8× 60 1.5× 19 0.8× 50 287
Björn Andersson Norway 12 115 0.7× 86 0.6× 70 0.6× 49 1.2× 14 0.6× 42 361
Won‐Chan Lee United States 12 271 1.5× 145 1.1× 182 1.5× 57 1.4× 19 0.8× 48 449
Keith A. Boughton Canada 9 220 1.3× 76 0.6× 114 0.9× 70 1.7× 29 1.3× 14 354
Janice A. Gifford United States 7 258 1.5× 181 1.4× 152 1.2× 35 0.9× 18 0.8× 9 406
Guanzhong Luo China 7 129 0.7× 82 0.6× 39 0.3× 33 0.8× 6 0.3× 14 264
David J. Scrams United States 6 209 1.2× 79 0.6× 63 0.5× 55 1.3× 11 0.5× 15 340
H. Swaminathan United States 8 278 1.6× 95 0.7× 158 1.3× 81 2.0× 42 1.8× 14 458
Julia Kopf Switzerland 6 129 0.7× 71 0.5× 97 0.8× 12 0.3× 6 0.3× 9 238

Countries citing papers authored by Tim Moses

Since Specialization
Citations

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

Fields of papers citing papers by Tim Moses

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Moses

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Moses. A scholar is included among the top collaborators of Tim Moses 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 Tim Moses. Tim Moses 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.
Kim, Soo‐Yeon & Tim Moses. (2016). Investigating Robustness of Item Response Theory Proficiency Estimators to Atypical Response Behaviors under Two-Stage Multistage Testing. ETS GRE® Board Research Report. ETS GRE®-16-03. ETS Research Report No. RR-16-22.. ETS Research Report Series. 2 indexed citations
2.
Moses, Tim, et al.. (2014). An Investigation of the Impact of Misrouting under Two-Stage Multistage Testing: A Simulation Study. Research Report. ETS RR-14-01.. ETS Research Report Series. 3 indexed citations
3.
Moses, Tim & Jinghua Liu. (2011). Smoothing and Equating Methods Applied to Different Types of Test Score Distributions and Evaluated with Respect to Multiple Equating Criteria. Research Report. ETS RR-11-20.. 1 indexed citations
4.
Yang, Joey, et al.. (2011). Repeater Effects on Score Equating for a Graduate Admissions Exam. Research Report. ETS RR-11-17.. 4 indexed citations
5.
Moses, Tim & Alan J. Klockars. (2011). Traditional and proposed tests of slope homogeneity for non‐normal and heteroscedastic data. British Journal of Mathematical and Statistical Psychology. 65(3). 402–426. 4 indexed citations
6.
Dorans, Neil J., Tim Moses, & Daniel R. Eignor. (2010). Principles and Practices of Test Score Equating. Research Report. ETS RR-10-29.. 3 indexed citations
7.
Moses, Tim, et al.. (2010). The Use of Two Anchors in Nonequivalent Groups with Anchor Test (NEAT) Equating. Research Report. ETS RR-10-23.. 2 indexed citations
8.
Moses, Tim, et al.. (2009). Pseudo Bayes Estimates for Test Score Distributions and Chained Equipercentile Equating. Research Report. ETS RR-09-47.. ETS Research Report Series.
9.
Moses, Tim & Alan J. Klockars. (2008). An Evaluation of Standard, Alternative, and Robust Slope Test Strategies. Journal of Modern Applied Statistical Methods. 7(1). 77–93. 2 indexed citations
10.
Moses, Tim & Paul W. Holland. (2008). Notes on a General Framework for Observed Score Equating. Research Report. ETS RR-08-59.. ETS Research Report Series. 1 indexed citations
11.
Puhan, Gautam, et al.. (2008). An Alternative Data Collection Design for Equating with Very Small Samples. Research Report. ETS RR-08-11.. ETS Research Report Series. 2 indexed citations
12.
Moses, Tim & Paul W. Holland. (2008). The Influence of Strategies for Selecting Loglinear Smoothing Models on Equating Functions. Research Report. ETS RR-08-25.. ETS Research Report Series. 1 indexed citations
13.
Moses, Tim, et al.. (2008). DIF Detection with Small Samples: Applying Smoothing Techniques to Frequency Distributions in the Mantel-Haenszel Procedure. Research Report. ETS RR-08-44.. ETS Research Report Series. 1 indexed citations
14.
Moses, Tim, et al.. (2007). Reliability and the Nonequivalent Groups with Anchor Test Design. Research Report. ETS RR-07-16.. ETS Research Report Series. 1 indexed citations
15.
Moses, Tim & Paul W. Holland. (2007). Kernel and Traditional Equipercentile Equating with Degrees of Presmoothing. Research Report. ETS RR-07-15.. ETS Research Report Series. 8 indexed citations
16.
Zurek, Stan, P. Marketos, & Tim Moses. (2007). LabVIEW as a tool for measurements, batch data manipulations and artificial neural network predictions. PRZEGLĄD ELEKTROTECHNICZNY. 114–119. 4 indexed citations
17.
Puhan, Gautam, et al.. (2007). Small-Sample DIF Estimation Using Log-Linear Smoothing: A SIBTEST Application. Research Report. ETS RR-07-10.. ETS Research Report Series. 2 indexed citations
18.
Moses, Tim. (2006). Using the Kernel Method of Test Equating for Estimating the Standard Errors of Population Invariance Measures. Research Report. ETS RR-06-20.. ETS Research Report Series. 1 indexed citations
19.
Moses, Tim & Alan J. Klockars. (2005). Testing For Aptitude-Treatment Interactions In Analysis Of Covariance And Randomized Block Designs Under Assumption Violations. Journal of Modern Applied Statistical Methods. 4(2). 460–472. 2 indexed citations
20.
Klockars, Alan J. & Tim Moses. (2002). Type I Error Rates For Rank-Based Tests Of Homogeneity Of Slopes. Journal of Modern Applied Statistical Methods. 1(2). 452–460. 6 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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