Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Simple mathematical models with very complicated dynamics
This map shows the geographic impact of Robert M. May'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 Robert M. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. May more than expected).
This network shows the impact of papers produced by Robert M. May. 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 Robert M. May. The network helps show where Robert M. May may publish in the future.
Co-authorship network of co-authors of Robert M. May
This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. May.
A scholar is included among the top collaborators of Robert M. May 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 Robert M. May. Robert M. May is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
May, Robert M. & Jon Seger. (2016). Ideas in Ecology. American Scientist. 74(3). 256–267.1 indexed citations
3.
Costello, Mark J., Robert M. May, & Nigel E. Stork. (2013). Can We Name Earth's Species Before They Go Extinct?. Science. 339(6118). 413–416.424 indexed citations breakdown →
4.
Sugihara, George, Robert M. May, Hao Ye, et al.. (2012). Detecting Causality in Complex Ecosystems. Science. 338(6106). 496–500.1536 indexed citations breakdown →
5.
May, Robert M.. (2011). Science advice and policy making. Journal and proceedings of the Royal Society of New South Wales. 144(3-4). 50–57.4 indexed citations
Nowak, Martin A. & Robert M. May. (2000). Virus dynamics.731 indexed citations breakdown →
8.
Sigmund, Karl, Robert M. May, & Martin A. Nowak. (1995). La aritmética de la ayuda mutua. Dialnet (Universidad de la Rioja). 160(227). 42–48.2 indexed citations
Edwards, Peter J., Robert M. May, & N. R. Webb. (1994). Large scale ecology and conservation biology : the 35th Symposium of the British Ecological Society with the Society for Conservation Biology, University of Southampton, 1993.9 indexed citations
12.
Sugihara, George & Robert M. May. (1990). Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature. 344(6268). 734–741.1365 indexed citations breakdown →
13.
May, Robert M., et al.. (1990). Ecology and population biology.. 130–145.14 indexed citations
May, Robert M.. (1988). How Many Species Are There on Earth?. Science. 241(4872). 1441–1449.808 indexed citations breakdown →
16.
May, Robert M.. (1987). Chaos and the dynamics of biological populations. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 413(1844). 27–44.92 indexed citations
May, Robert M. & J. R. Beddington. (1984). Exploitation of Marine Communities: Report of the Dahlem Workshop on Exploitation of Marine Communities, Berlin 1984, April 1-6. Springer eBooks.4 indexed citations
19.
May, Robert M. & Roy M. Anderson. (1983). Epidemiology and genetics in the coevolution of parasites and hosts. PubMed. 219(1216). 281–313.657 indexed citations breakdown →
20.
May, Robert M.. (1972). Will a Large Complex System be Stable?. Nature. 238(5364). 413–414.1841 indexed citations breakdown →
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.