Mary Pommerich

42 total papers · 808 total citations
30 papers, 535 citations indexed

About

Mary Pommerich is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Education. According to data from OpenAlex, Mary Pommerich has authored 30 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Science and Operations Research, 9 papers in Computer Networks and Communications and 6 papers in Education. Recurrent topics in Mary Pommerich's work include Psychometric Methodologies and Testing (16 papers), Advanced Statistical Modeling Techniques (8 papers) and Software Reliability and Analysis Research (4 papers). Mary Pommerich is often cited by papers focused on Psychometric Methodologies and Testing (16 papers), Advanced Statistical Modeling Techniques (8 papers) and Software Reliability and Analysis Research (4 papers). Mary Pommerich collaborates with scholars based in United States. Mary Pommerich's co-authors include Neil J. Dorans, Valerie Williams, David Thissen, Paul W. Holland, Daniel O. Segall, Deborah J. Harris, Bradley A. Hanson, Lihua Yao, Ryan P. Bowles and Julie Noble and has published in prestigious journals such as Applied Psychological Measurement, Journal of Educational Measurement and Contact Dermatitis.

In The Last Decade

Mary Pommerich

27 papers receiving 445 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mary Pommerich 232 177 103 84 61 30 535
Craig N. Mills 291 1.3× 142 0.8× 124 1.2× 52 0.6× 49 0.8× 23 613
Kuan‐Yu Jin 218 0.9× 109 0.6× 78 0.8× 82 1.0× 67 1.1× 36 450
Ronald J. Nungester 219 0.9× 145 0.8× 94 0.9× 48 0.6× 75 1.2× 23 615
Anne Corinne Huggins‐Manley 129 0.6× 173 1.0× 67 0.7× 69 0.8× 50 0.8× 52 596
Gautam Puhan 245 1.1× 127 0.7× 90 0.9× 120 1.4× 55 0.9× 53 462
Ulf Kroehne 120 0.5× 145 0.8× 45 0.4× 44 0.5× 95 1.6× 36 596
Karen Draney 178 0.8× 153 0.9× 80 0.8× 71 0.8× 57 0.9× 21 514
Tim Davey 225 1.0× 123 0.7× 122 1.2× 37 0.4× 37 0.6× 28 500
April L. Zenisky 183 0.8× 229 1.3× 58 0.6× 40 0.5× 50 0.8× 30 463
Alicia P. Schmitt 272 1.2× 125 0.7× 110 1.1× 70 0.8× 100 1.6× 29 491

Countries citing papers authored by Mary Pommerich

Since Specialization
Citations

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

Fields of papers citing papers by Mary Pommerich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Pommerich

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Pommerich. A scholar is included among the top collaborators of Mary Pommerich 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 Mary Pommerich. Mary Pommerich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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