Jonathan Nevitt

13 papers receiving 1.3k citations

Jonathan Nevitt's Hit Papers

Performance of Bootstrapping Approaches to Model Test Statistics and Parameter Standard Error Estimation in Structural Equation Modeling 2001 · 677 citations
6770+8+16Years since publication200400600

Peers

Jonathan Nevitt
Comparison fields: 5 of 156
  • Applied Psychology 108
  • Statistics and Probability 149
  • Social Psychology 333
  • Management Science and Operations Research 175
  • Organizational Behavior and Human Resource Management 137
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Countries citing papers authored by Jonathan Nevitt

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Nevitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Jonathan Nevitt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Nevitt Line = papers co-authored together Jonathan Nevitt links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Performance of Bootstrapping Approaches to Model Test Statistics and Parameter Standard Error Estimation in Structural Equation Modeling
Hit paper breakdown →
2001677
2 2004176
3 2000163
4 2000126
5 200057
6 200043
7 199941
8 199932
9
A Comparison of Robust and Nonparametric Estimators under the Simple Linear Regression Model.
199723
10 200023
11 19996
12 19992
13 20001

About Jonathan Nevitt

Jonathan Nevitt is a scholar working on Management Science and Operations Research, Statistics and Probability, Computer Networks and Communications, Social Psychology and Sociology and Political Science, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (4 papers), Advanced Statistical Modeling Techniques (3 papers), Statistical Methods and Bayesian Inference (2 papers), Racial and Ethnic Identity Research (2 papers), Advanced Statistical Methods and Models (2 papers), Cultural Differences and Values (1 paper), Advanced Statistical Process Monitoring (1 paper) and International Student and Expatriate Challenges (1 paper). The work is most often cited by research in Applied Psychology (108 citations), Statistics and Probability (149 citations), Social Psychology (333 citations), Management Science and Operations Research (175 citations) and Organizational Behavior and Human Resource Management (137 citations). Jonathan Nevitt has collaborated with scholars based in United States. Frequent co-authors include Gregory R. Hancock, William M. Liu, Donald B. Pope‐Davis, Rebecca L. Toporek, Frank Lawrence and Hak Ping Tam. Their work appears in journals such as Cultural Diversity & Ethnic Minority Psychology, Structural Equation Modeling A Multidisciplinary Journal, Applied Psychological Measurement, Educational and Psychological Measurement and The Journal of Experimental Education.

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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