Mary McGlohon

6 papers and 148 indexed citations i.

About

Mary McGlohon is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Mary McGlohon has authored 6 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistical and Nonlinear Physics, 2 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Mary McGlohon’s work include Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (3 papers) and Social Media and Politics (2 papers). Mary McGlohon is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (3 papers) and Social Media and Politics (2 papers). Mary McGlohon collaborates with scholars based in United States and United Kingdom. Mary McGlohon's co-authors include Natalie Glance, Christos Faloutsos, Leman Akoglu, Jure Leskovec, U Kang and Matthew Hurst and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University) and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Co-authorship network of co-authors of Mary McGlohon i

Fields of papers citing papers by Mary McGlohon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mary McGlohon

Since Specialization
Citations

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