This map shows the geographic impact of J. R. Buchler'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 J. R. Buchler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. R. Buchler more than expected).
This network shows the impact of papers produced by J. R. Buchler. 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 J. R. Buchler. The network helps show where J. R. Buchler may publish in the future.
Co-authorship network of co-authors of J. R. Buchler
This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Buchler.
A scholar is included among the top collaborators of J. R. Buchler 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 J. R. Buchler. J. R. Buchler is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gottesman, S. T., et al.. (2005). Nonlinear dynamics in astronomy and physics : in memory of Henry E. Kandrup. Annals of the New York Academy of Sciences. 1045.11 indexed citations
3.
Kolláth, Z., J. R. Buchler, R. Szabó, & Z. Csubry. (2002). Nonlinear beat Cepheid and RR Lyrae models. Springer Link (Chiba Institute of Technology).37 indexed citations
Fry, J. N., et al.. (2001). The onset of nonlinearity in cosmology. New York Academy of Sciences eBooks. 927.19 indexed citations
6.
Buchler, J. R., et al.. (1998). Nonlinear dynamics and chaos in astrophysics : a festschrift in honor of George Contopoulos. Annals of the New York Academy of Sciences. 867.3 indexed citations
7.
Buchler, J. R., James W. Dufty, & Henry E. Kandrup. (1998). Long-range correlations in astrophysical systems. Annals of the New York Academy of Sciences. 848.1 indexed citations
8.
Buchler, J. R. & Henry E. Kandrup. (1997). Nonlinear signal and image analysis. Annals of the New York Academy of Sciences.11 indexed citations
9.
Buchler, J. R., M. J. Goupil, & Thierry Serre. (1995). Dynamic pulsation amplitudes for a rotationally split nonradial mode: the l=1 case.. A&A. 296. 405.1 indexed citations
10.
Goupil, Marie-Jo & J. R. Buchler. (1994). Amplitude equations for nonadiabatic nonradial pulsators.. A&A. 291. 481–499.
Buchler, J. R., Steven Detweiler, & James R. Ipser. (1991). Nonlinear problems in relativity and cosmology. New York Academy of Sciences eBooks.12 indexed citations
Buchler, J. R. & S. T. Gottesman. (1990). Nonlinear astrophysical fluid dynamics. Annals of the New York Academy of Sciences. 617.17 indexed citations
15.
Buchler, J. R., et al.. (1988). Integrability in dynamical systems. Annals of the New York Academy of Sciences.7 indexed citations
16.
Buchler, J. R. & H. Eichhorn. (1987). Chaotic Phenomena in Astrophysics. Annals of the New York Academy of Sciences. 497.10 indexed citations
17.
Buchler, J. R. & Oded Regev. (1983). The effects of nonlinearities on radial and nonradial oscillations. A&A. 123(2). 331–342.1 indexed citations
18.
Yueh, William R. & J. R. Buchler. (1976). Neutrino transport in supernova models.. Bulletin of the American Astronomical Society. 8. 396.1 indexed citations
19.
Buchler, J. R. & Z. Barkat. (1971). Clustering of nucleons in low density neutron star matter.. 7. 167–170.1 indexed citations
20.
Wheeler, J.C.G., et al.. (1970). Possible Pulsar Formation Mechanism via Thermonuclear Detonation in Collapsing Degenerate Cores. Bulletin of the American Astronomical Society. 2. 355.1 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.