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.
Magnetic fields and the structure of the solar corona
1969820 citationsMartin D. Altschuler, Gordon NewkirkSolar Physicsprofile →
Citations per year, relative to Gordon Newkirk Gordon Newkirk (= 1×)
peers
R. M. MacQueen
Countries citing papers authored by Gordon Newkirk
Since
Specialization
Citations
This map shows the geographic impact of Gordon Newkirk'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 Gordon Newkirk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon Newkirk more than expected).
This network shows the impact of papers produced by Gordon Newkirk. 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 Gordon Newkirk. The network helps show where Gordon Newkirk may publish in the future.
Co-authorship network of co-authors of Gordon Newkirk
This figure shows the co-authorship network connecting the top 25 collaborators of Gordon Newkirk.
A scholar is included among the top collaborators of Gordon Newkirk 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 Gordon Newkirk. Gordon Newkirk is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Newkirk, Gordon, J. A. Lockwood, M. García-Muñoz, & J. A. Simpson. (1985). Latitudinal gradients of cosmic rays and the polarity reversal of the heliospheric magnetic field: A preliminary evaluation. NASA Technical Reports Server (NASA).2 indexed citations
Newkirk, Gordon, et al.. (1982). The solar cycle. Physics Today. 35(4). 25–34.17 indexed citations
5.
Newkirk, Gordon. (1976). Solar magnetic fields and the corona. NASA STI Repository (National Aeronautics and Space Administration). 59.14 indexed citations
6.
Newkirk, Gordon. (1975). Recent perspectives in solar physics - Elemental composition, coronal structure and magnetic fields, solar activity. International Cosmic Ray Conference. 11. 3594.3 indexed citations
Schmidt, Hans, W. J. Wagner, & Gordon Newkirk. (1972). A Search for Compressional Waves in the Inner White Light Corona. Bulletin of the American Astronomical Society. 4. 390.2 indexed citations
10.
Newkirk, Gordon, Dorothy E. Trotter, Martin D. Altschuler, & Robert Howard. (1972). Atlas of magnetic fields in the solar corona. Solar Physics. 24(2). 370–372.12 indexed citations
Newkirk, Gordon. (1967). Meteoric dust in the stratosphere determined by optical scattering techniques. 11. 349.2 indexed citations
13.
Norton, R. H., James E. Gunn, W. C. Livingston, Gordon Newkirk, & H. Zirin. (1967). Surveyor 1 observations of the solar corona. Journal of Geophysical Research Atmospheres. 72(2). 815–817.28 indexed citations
14.
Bohlin, J. D. & Gordon Newkirk. (1965). Coronascope ii - observation of the white light corona from a stratospheric balloon.. 28. 234–238.2 indexed citations
Newkirk, Gordon & John A. Eddy. (1961). Influx of Meteor Particles in the Upper Atmosphere of the Earth as Determined from Stratospheric Coronagraph Observations. Defense Technical Information Center (DTIC). 143.1 indexed citations
Newkirk, Gordon. (1956). Photometry of the Solar Aureole. Journal of the Optical Society of America. 46(12). 1028–1028.20 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.