Melissa Gordon Wolf
- Clinical Psychology
- Experimental and Cognitive Psychology
- Social Psychology
- Management Science and Operations Research top 10%
- Education
- Co-authors
- Daniel McNeishBita GhafooriKaren Nylund‐GibsonErika D. FelixCassandra L. BonessMary Beth MillerKenneth J. SherElliott Ihm
- Topics
- Survey Methodology and Nonresponse (2 papers)Psychometric Methodologies and Testing (2 papers)Statistical Methods and Bayesian Inference (1 paper)
- Cited by
- Applied PsychologyExperimental and Cognitive PsychologyManagement Science and Operations Research
- Journals
- Journal of Affective DisordersPsychological MethodsStructural Equation Modeling A Multidisciplinary Journal
- Partner nations
- United States
In The Last Decade
Melissa Gordon Wolf
4 papers receiving 225 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Clinical Psychology 64
- Experimental and Cognitive Psychology 53
- Social Psychology 49
- Management Science and Operations Research 45
- Education 38
Countries citing papers authored by Melissa Gordon Wolf
This map shows the geographic impact of Melissa Gordon Wolf'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 Melissa Gordon Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Gordon Wolf more than expected).
Fields of papers citing papers by Melissa Gordon Wolf
This network shows the impact of papers produced by Melissa Gordon Wolf. 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 Melissa Gordon Wolf. The network helps show where Melissa Gordon Wolf may publish in the future.
Co-authorship network of co-authors of Melissa Gordon Wolf
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Gordon Wolf. A scholar is included among the top collaborators of Melissa Gordon Wolf 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 Melissa Gordon Wolf. Melissa Gordon Wolf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | Dynamic fit index cutoffs for confirmatory factor analysis models.breakdown → | 214 |
| 6 | 8 |
About Melissa Gordon Wolf
Melissa Gordon Wolf is a scholar working on Applied Psychology, Management Science and Operations Research and Statistics and Probability, having authored 6 papers that have together received 230 indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (2 papers), Psychometric Methodologies and Testing (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Applied Psychology (27 citations), Experimental and Cognitive Psychology (53 citations) and Management Science and Operations Research (45 citations). Melissa Gordon Wolf has collaborated with scholars based in United States. Frequent co-authors include Daniel McNeish, Bita Ghafoori, Karen Nylund‐Gibson, Erika D. Felix, Cassandra L. Boness, Mary Beth Miller, Kenneth J. Sher, Elliott Ihm, Ashley C. Helle and Ann Taves. Their work appears in journals such as Journal of Affective Disorders, Psychological Methods and Structural Equation Modeling A Multidisciplinary Journal.
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.