Mahsa Zahery

1.2k citations
4 papers · 774 indexed · 1 hit paper · h-index 3
Topics
Statistical and numerical algorithms (1 paper)Genetic Associations and Epidemiology (1 paper)Statistical Methods and Applications (1 paper)

In The Last Decade

Mahsa Zahery

4 papers receiving 769 citations

Hit Papers

OpenMx 2.0: Extended Structural Equation and Statistical ...20152026201820222015250500750

Peers

Mahsa Zahery
Comparison fields: 5 of 132
  • Experimental and Cognitive Psychology 248
  • Clinical Psychology 190
  • Genetics 125
  • Cognitive Neuroscience 114
  • Social Psychology 80
Replace Joshua N. Pritikin with:
Joshua N. Pritikin United States
Sarah Kenny United States
Robert M. Kirkpatrick United States
Lina Pezzuti Italy
David J. Hessen Netherlands
Irene Rebollo Netherlands
Margherita Malanchini United Kingdom
Kees‐Jan Kan Netherlands
Kim May United States
Nicholas Benson United States
Mahsa Zahery relative to Joshua N. Pritikin United States Joshua N. Pritikin's profile →
Citations per field
00.5×1.5×
Joshua N. Pritikin · 1×
Citations per year

Countries citing papers authored by Mahsa Zahery

Since Specialization
Citations

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

Fields of papers citing papers by Mahsa Zahery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahsa Zahery

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

All Works

About Mahsa Zahery

Mahsa Zahery is a scholar working on Numerical Analysis, Statistics and Probability and Applied Mathematics, having authored 4 papers that have together received 774 indexed citations. Recurring topics across this work include Statistical and numerical algorithms (1 paper), Genetic Associations and Epidemiology (1 paper) and Statistical Methods and Applications (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (248 citations), Clinical Psychology (190 citations) and Statistics and Probability (58 citations). Mahsa Zahery has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Hermine H. Maes, Michael C. Neale, Steven M. Boker, Michael D. Hunter, Robert M. Kirkpatrick, Timothy R. Brick, Ryne Estabrook, Joshua N. Pritikin, Timothy C. Bates and Henrik Ohlsson. Their work appears in journals such as Psychometrika, Behavior Genetics and Twin Research and Human Genetics.

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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