Brendan Meeder

About

Brendan Meeder is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Brendan Meeder has authored 5 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Brendan Meeder’s work include Complex Network Analysis Techniques (3 papers), Topic Modeling (2 papers) and Social Media and Politics (2 papers). Brendan Meeder is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Topic Modeling (2 papers) and Social Media and Politics (2 papers). Brendan Meeder collaborates with scholars based in United States and South Korea. Brendan Meeder's co-authors include Burr Settles, Daniel M. Romero, Jon Kleinberg, Justin Cheng, Evangelos E. Papalexakis, U Kang, Christos Faloutsos, Jon Kleinberg and Vladimir Barash and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, CiteSeer X (The Pennsylvania State University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Brendan Meeder i

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Fields of papers citing papers by Brendan Meeder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Brendan Meeder

Since Specialization

Citations

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