Janet Grassia

5 papers and 419 indexed citations i.

About

Janet Grassia is a scholar working on Management Science and Operations Research, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Janet Grassia has authored 5 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Management Science and Operations Research, 1 paper in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Janet Grassia’s work include Management Theory and Practice (1 paper), Cognitive Science and Education Research (1 paper) and Organizational Management and Leadership (1 paper). Janet Grassia is often cited by papers focused on Management Theory and Practice (1 paper), Cognitive Science and Education Research (1 paper) and Organizational Management and Leadership (1 paper). Janet Grassia collaborates with scholars based in United States. Janet Grassia's co-authors include Kenneth R. Hammond, Robert M. Hamm, Tamra Pearson d’Estrée, Thomas R. Stewart, W. R. Moninger, Ronald D. Brunner and Lyn Kathlene and has published in prestigious journals such as Psychological Bulletin, Weather and Forecasting and Policy Sciences.

In The Last Decade

Co-authorship network of co-authors of Janet Grassia i

Fields of papers citing papers by Janet Grassia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Janet Grassia

Since Specialization
Citations

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

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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2025