This map shows the geographic impact of Max Garzón'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 Max Garzón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Garzón more than expected).
This network shows the impact of papers produced by Max Garzón. 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 Max Garzón. The network helps show where Max Garzón may publish in the future.
Co-authorship network of co-authors of Max Garzón
This figure shows the co-authorship network connecting the top 25 collaborators of Max Garzón.
A scholar is included among the top collaborators of Max Garzón 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 Max Garzón. Max Garzón is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Neel, Andrew J. & Max Garzón. (2010). Semantic Methods for Textual Entailment: How Much World Knowledge is Enough?. The Florida AI Research Society.1 indexed citations
Rose, John A., Russell Deaton, Donald R. Franceschetti, Max Garzón, & S. Edward Stevens. (1999). A statistical mechanical treatment of error in the annealing biostep of DNA computation. Genetic and Evolutionary Computation Conference. 1829–1834.21 indexed citations
8.
Banzhaf, Wolfgang, Jason M. Daida, Á. E. Eiben, Max Garzón, & Vasant Honavar. (1999). Proceedings of the 1st Annual Conference on Genetic and Evolutionary Computation - Volume 1. Genetic and Evolutionary Computation Conference.55 indexed citations
9.
Garzón, Max, et al.. (1999). On Self-Assembling Graphs in vitro.. Genetic and Evolutionary Computation Conference. 1805–1809.2 indexed citations
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.