This map shows the geographic impact of H. Lin'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 H. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Lin more than expected).
This network shows the impact of papers produced by H. Lin. 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 H. Lin. The network helps show where H. Lin may publish in the future.
Co-authorship network of co-authors of H. Lin
This figure shows the co-authorship network connecting the top 25 collaborators of H. Lin.
A scholar is included among the top collaborators of H. Lin 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 H. Lin. H. Lin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hill, F., Heidi B. Hammel, V. Martı́nez Pillet, et al.. (2019). ngGONG: The Next Generation GONG – A New Solar Synoptic Observational Network. Bulletin of the American Astronomical Society. 51(7). 74.3 indexed citations
6.
Pillet, V. Martı́nez, F. Hill, Heidi B. Hammel, et al.. (2019). Synoptic Studies of the Sun as a Key to Understanding Stellar Astrospheres. Bulletin of the American Astronomical Society. 51(3). 110.1 indexed citations
7.
Kramar, Maxim, H. Lin, Vladimir Airapetian, & S. Tomczyk. (2016). 3D Global Coronal Density, Temperature, and Vector Magnetic Field Derived from Coronal Observation.. AGU Fall Meeting Abstracts.1 indexed citations
8.
McMullin, J. P., Thomas Rimmelé, M. Warner, et al.. (2016). Construction Status and Early Science with the Daniel K. Inouye Solar Telescope.1 indexed citations
9.
Rimmelé, Thomas, J. P. McMullin, M. Warner, et al.. (2015). Daniel K. Inouye Solar Telescope: Overview and Status. 29. 2255176.5 indexed citations
10.
Rimmelé, Thomas, Tom Berger, J. P. McMullin, et al.. (2014). The Daniel K. Inouye Solar Telescope: A Project Update.. amos.
11.
Kent, S., J. L. Marshall, D. L. DePoy, et al.. (2012). Dark Energy Spectrometer - A Proposed Multi-Fiber Instrument for the Blanco 4 Meter Telescope. AAS. 219.1 indexed citations
12.
Lin, H. & Sarah A. Jaeggli. (2012). Spies - Spectral Polarimetric Imager For The Energetic Sun. 220.1 indexed citations
13.
Jaeggli, Sarah A., H. Lin, D. L. Mickey, et al.. (2010). FIRS: a new instrument for photospheric and chromospheric studies at the DST.. Memorie della Societa Astronomica Italiana. 81. 763.15 indexed citations
Rimmelé, Thomas, Tom Berger, D. Elmore, et al.. (2005). First-Light Instrumentation for the Advanced Technology Solar Telescope. AGU Spring Meeting Abstracts. 2005.1 indexed citations
17.
Lin, H.. (2005). Solar Polarimetry: An Overview. ASPC. 343. 357.1 indexed citations
18.
Ohgaito, Rumi, Ingrid Mann, J. R. Kuhn, et al.. (1999). The J- and K-Band Brightness of the Solar F-Corona Observed During the Solar Eclipse on February 26, 1998. Bulletin of the American Astronomical Society. 31(4). 1159.2 indexed citations
19.
Lin, H., M. J. Penn, & J. R. Kuhn. (1997). HE I 10830 A Line Polarimetry: A New Tool to Probe the Filament Magnetic Fields. NASA STI/Recon Technical Report N. 98. 22262.1 indexed citations
20.
Coulter, R., J. R. Kuhn, & H. Lin. (1996). The Precision Solar Photometric Telescopes. AAS. 188(2). 911.1 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.