Self-Organization in Biological Systems2001 · 2.3k citations
What are hit papers?
Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.
Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.
This map shows the geographic impact of Guy Theraula'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 Guy Theraula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Theraula more than expected).
This network shows the impact of papers produced by Guy Theraula. 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 Guy Theraula. The network helps show where Guy Theraula may publish in the future.
Co-authors
The 4 scholars most cited alongside Guy Theraula, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with Guy TheraulaLine = papers co-authored togetherGuy Theraula links everyone, so they are left out of the graph.
Guy Theraula is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Modeling and Simulation, Endocrine and Autonomic Systems and Genetics, having authored 9 papers that have together received 2.3k indexed citations. Recurring topics across this work include Complex Systems and Dynamics (4 papers), Insect and Arachnid Ecology and Behavior (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Economic Theory and Institutions (1 paper), Fish biology, ecology, and behavior (1 paper), Chaos, Complexity, and Education (1 paper), Circadian rhythm and melatonin (1 paper) and Animal Behavior and Reproduction (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (287 citations), Computer Networks and Communications (462 citations), Genetics (418 citations), Ocean Engineering (172 citations) and Mechanical Engineering (419 citations). Frequent co-authors include Nigel R. Franks, James Sneyd, EricVE Bonabeau and Jean‐Louis Deneubourg. Their work appears in journals such as Princeton University Press eBooks.
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.