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.
SCUBA: a common-user submillimetre camera operating on the James Clerk Maxwell Telescope
1999480 citationsW. S. Holland, E. I. Robson et al.Monthly Notices of the Royal Astronomical Societyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of D. A. Naylor'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 D. A. Naylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. A. Naylor more than expected).
This network shows the impact of papers produced by D. A. Naylor. 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 D. A. Naylor. The network helps show where D. A. Naylor may publish in the future.
Co-authorship network of co-authors of D. A. Naylor
This figure shows the co-authorship network connecting the top 25 collaborators of D. A. Naylor.
A scholar is included among the top collaborators of D. A. Naylor 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 D. A. Naylor. D. A. Naylor is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Davis, G. R., T. Fulton, M. J. Griffin, et al.. (2000). LWS Measurements of HD in the Giant Planets. UCL Discovery (University College London). 456. 29.1 indexed citations
12.
Holland, W. S., E. I. Robson, W. K. Gear, et al.. (1999). SCUBA: a common-user submillimetre camera operating on the James Clerk Maxwell Telescope. Monthly Notices of the Royal Astronomical Society. 303(4). 659–672.480 indexed citations breakdown →
13.
Burgdorf, M., G. R. Davis, M. J. Griffin, et al.. (1998). Observations of Uranus and Neptune with ISO/LWS. ORCA Online Research @Cardiff (Cardiff University). 30(4). 1451.1 indexed citations
14.
Graauw, Th. de, H. Feuchtgruber, Bruno Bézard, et al.. (1997). First results of ISO-SWS observations of Saturn: Detection of CO2, CH3C2H, C4H2 and tropospheric H2O. University of Groningen research database (University of Groningen / Centre for Information Technology). 321(2).63 indexed citations
15.
Davis, G. R., Matt J. Griffin, P. A. R. Ade, et al.. (1996). Early results from the ISO long wavelength spectrometer: measurements of HD, PH3 and NH3 in Saturn. ORCA Online Research @Cardiff (Cardiff University). 28(3). 1128.1 indexed citations
16.
Encrenaz, T., Thijs de Graauw, E. Lellouch, et al.. (1996). First results of ISO-SWS observations of Jupiter. University of Groningen research database (University of Groningen / Centre for Information Technology). 315(2).43 indexed citations
17.
Davis, G. R., D. A. Naylor, M. J. Griffin, W. S. Holland, & T. A. Clark. (1995). The Abundance of HCN on Jupiter. DPS. 27.1 indexed citations
18.
Owen, Tobias, M. J. Griffin, A. Marten, et al.. (1994). JCMT Observations of the Collision of Comet Shoemaker-Levy 9 with Jupiter. 26. 1584.1 indexed citations
19.
Naylor, D. A., G. R. Davis, M. J. Griffin, et al.. (1994). Broad-band spectroscopic detection of the CO J=3-2 tropospheric absorption in the atmosphere of Neptune.. 291.6 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.