John Mark Agosta

6 papers and 38 indexed citations i.

About

John Mark Agosta is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, John Mark Agosta has authored 6 papers receiving a total of 38 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in John Mark Agosta’s work include Bayesian Modeling and Causal Inference (2 papers), AI-based Problem Solving and Planning (2 papers) and Complex Network Analysis Techniques (2 papers). John Mark Agosta is often cited by papers focused on Bayesian Modeling and Causal Inference (2 papers), AI-based Problem Solving and Planning (2 papers) and Complex Network Analysis Techniques (2 papers). John Mark Agosta collaborates with scholars based in United States, Israel and Spain. John Mark Agosta's co-authors include Denver Dash, Abraham Bachrach, Eve M. Schooler, Branislav Kveton, Eva Millán, Alexander Newman, Jaideep Chandrashekar, Daniel Ting, Nina Taft and Mark Crovella and has published in prestigious journals such as British Journal of Educational Technology, arXiv (Cornell University) and National Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of John Mark Agosta i

Fields of papers citing papers by John Mark Agosta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Mark Agosta. 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 John Mark Agosta. The network helps show where John Mark Agosta may publish in the future.

Countries citing papers authored by John Mark Agosta

Since Specialization
Citations

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