Melissa Gordon Wolf

601 total citations · 1 hit paper
6 papers, 230 citations indexed

About

Melissa Gordon Wolf is a scholar working on Sociology and Political Science, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Melissa Gordon Wolf has authored 6 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Sociology and Political Science, 2 papers in Management Science and Operations Research and 1 paper in Computer Networks and Communications. Recurrent topics in Melissa Gordon Wolf's work include Survey Methodology and Nonresponse (2 papers), Psychometric Methodologies and Testing (2 papers) and Economic and Environmental Valuation (1 paper). Melissa Gordon Wolf is often cited by papers focused on Survey Methodology and Nonresponse (2 papers), Psychometric Methodologies and Testing (2 papers) and Economic and Environmental Valuation (1 paper). Melissa Gordon Wolf collaborates with scholars based in United States. Melissa Gordon Wolf's co-authors include Daniel McNeish, Karen Nylund‐Gibson, Bita Ghafoori, Erika D. Felix, Ann Taves, Cassandra L. Boness, Kenneth J. Sher, Elliott Ihm, Mary Beth Miller and Ashley C. Helle and has published in prestigious journals such as Journal of Affective Disorders, Psychological Methods and Structural Equation Modeling A Multidisciplinary Journal.

In The Last Decade

Melissa Gordon Wolf

4 papers receiving 225 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dynamic fit index cutoffs for confirmatory factor analysis models.

2021 214 citations Daniel McNeish, Melissa Gordon Wolf Psychological Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Melissa Gordon Wolf United States	3	64	53	49	45	38	6	230
Bobby Naemi United States	9	50 0.8×	40 0.8×	50 1.0×	28 0.6×	37 1.0×	20	248
Clemens Draxler Austria	4	83 1.3×	99 1.9×	112 2.3×	68 1.5×	41 1.1×	8	349
Yujiao Mai United States	7	46 0.7×	34 0.6×	57 1.2×	18 0.4×	45 1.2×	16	246
Alyssa Counsell Canada	10	168 2.6×	98 1.8×	76 1.6×	56 1.2×	32 0.8×	21	395
Shenghai Dai United States	8	35 0.5×	55 1.0×	71 1.4×	43 1.0×	54 1.4×	29	251
Anouck Kluytmans Netherlands	7	43 0.7×	56 1.1×	70 1.4×	51 1.1×	15 0.4×	12	361
Ángel M. Fidalgo Spain	13	64 1.0×	73 1.4×	90 1.8×	94 2.1×	67 1.8×	26	332
Cathy Labrish Canada	5	130 2.0×	32 0.6×	52 1.1×	14 0.3×	25 0.7×	7	266
Fang Luo China	11	80 1.3×	31 0.6×	99 2.0×	17 0.4×	46 1.2×	36	268

Countries citing papers authored by Melissa Gordon Wolf

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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6 of 6 papers shown

1.

Wolf, Melissa Gordon, et al.. (2025). The Response-Process-Evaluation Method: A New Approach to Survey-Item Validation. Advances in Methods and Practices in Psychological Science. 8(3).

2.

McNeish, Daniel & Melissa Gordon Wolf. (2024). Direct Discrepancy Dynamic Fit Index Cutoffs for Arbitrary Covariance Structure Models. Structural Equation Modeling A Multidisciplinary Journal. 31(5). 835–862. 7 indexed citations

3.

Wolf, Melissa Gordon, et al.. (2023). Survey Uses May Influence Survey Responses. Assessment. 31(7). 1378–1397.

4.

Boness, Cassandra L., Ashley C. Helle, Mary Beth Miller, Melissa Gordon Wolf, & Kenneth J. Sher. (2021). Who Opts in to Alcohol Feedback and How Does that Impact Behavior? A Pilot Trial. PubMed. 83(5). 640–645. 1 indexed citations

5.

McNeish, Daniel & Melissa Gordon Wolf. (2021). Dynamic fit index cutoffs for confirmatory factor analysis models.. Psychological Methods. 28(1). 61–88. 214 indexed citations breakdown →

6.

Ghafoori, Bita, Melissa Gordon Wolf, Karen Nylund‐Gibson, & Erika D. Felix. (2018). A naturalistic study exploring mental health outcomes following trauma-focused treatment among diverse survivors of crime and violence. Journal of Affective Disorders. 245. 617–625. 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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