Bernie Shiao

1.8k total citations
21 papers, 589 citations indexed

About

Bernie Shiao is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, Bernie Shiao has authored 21 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Astronomy and Astrophysics, 10 papers in Instrumentation and 4 papers in Computational Mechanics. Recurrent topics in Bernie Shiao's work include Stellar, planetary, and galactic studies (14 papers), Astrophysics and Star Formation Studies (11 papers) and Astronomy and Astrophysical Research (9 papers). Bernie Shiao is often cited by papers focused on Stellar, planetary, and galactic studies (14 papers), Astrophysics and Star Formation Studies (11 papers) and Astronomy and Astrophysical Research (9 papers). Bernie Shiao collaborates with scholars based in United States, United Kingdom and France. Bernie Shiao's co-authors include L. Bianchi, Alberto Conti, L. Girardi, Alexandre Zabot, M. Meixner, J. E. Herald, Paola Marigo, Boryana Efremova, J. Th. van Loon and R. Indebetouw and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.

In The Last Decade

Bernie Shiao

20 papers receiving 564 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bernie Shiao United States 9 566 215 43 35 25 21 589
A. R. Walker Chile 5 623 1.1× 255 1.2× 74 1.7× 28 0.8× 15 0.6× 5 654
D. Rosa‐González Mexico 13 458 0.8× 125 0.6× 81 1.9× 11 0.3× 19 0.8× 43 487
В. И. Шенаврин Russia 9 398 0.7× 63 0.3× 42 1.0× 21 0.6× 15 0.6× 109 411
J. M. Bestenlehner United Kingdom 17 956 1.7× 353 1.6× 35 0.8× 45 1.3× 10 0.4× 30 979
G. D’Ago Italy 13 356 0.6× 223 1.0× 24 0.6× 19 0.5× 6 0.2× 32 377
Amanda A. Kepley United States 13 429 0.8× 82 0.4× 56 1.3× 9 0.3× 11 0.4× 25 446
A. Derekas Hungary 16 584 1.0× 257 1.2× 21 0.5× 51 1.5× 10 0.4× 48 599
Eder Martioli Brazil 13 476 0.8× 173 0.8× 27 0.6× 31 0.9× 15 0.6× 32 513
F. Tramper Belgium 19 714 1.3× 295 1.4× 22 0.5× 43 1.2× 4 0.2× 39 734
P. Salomé France 13 631 1.1× 93 0.4× 120 2.8× 17 0.5× 12 0.5× 15 643

Countries citing papers authored by Bernie Shiao

Since Specialization
Citations

This map shows the geographic impact of Bernie Shiao'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 Bernie Shiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernie Shiao more than expected).

Fields of papers citing papers by Bernie Shiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernie Shiao. 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 Bernie Shiao. The network helps show where Bernie Shiao may publish in the future.

Co-authorship network of co-authors of Bernie Shiao

This figure shows the co-authorship network connecting the top 25 collaborators of Bernie Shiao. A scholar is included among the top collaborators of Bernie Shiao 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 Bernie Shiao. Bernie Shiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
White, R. L., Stephen H. Lubow, & Bernie Shiao. (2022). Improvements to Pan-STARRS1 Astrometry: II. Corrections for Differential Chromatic Refraction. arXiv (Cornell University). 2 indexed citations
2.
Bianchi, L., Alexander de la Vega, Bernie Shiao, & B. J. Souter. (2019). AREAcat: A Tool to Compute Area Coverage of GALEX UV GUVcat and BCScat, SDSS, PanSTARRS, and Gaia Source Catalogs in Chosen Sky Regions. The Astrophysical Journal Supplement Series. 241(1). 14–14. 2 indexed citations
3.
Davenport, James R. A., Kevin R. Covey, Scott W. Fleming, et al.. (2018). The GALEX View of “Boyajian’s Star” (KIC 8462852). The Astrophysical Journal. 853(2). 130–130. 2 indexed citations
4.
Tucker, M. A., Scott W. Fleming, Ingrid Pelisoli, et al.. (2017). White dwarf variability with gPhoton: pulsators. Monthly Notices of the Royal Astronomical Society. 475(4). 4768–4780. 3 indexed citations
5.
Fleming, Scott W., et al.. (2016). gPhoton: Time-tagged GALEX photon events analysis tools. Astrophysics Source Code Library. 1 indexed citations
6.
Fleming, Scott W., Faith Abney, D. A. Fraquelli, et al.. (2015). Beyond The Prime Directive: The MAST Discovery Portal and High Level Science Products. AAS. 225. 1 indexed citations
7.
Riebel, D., Martha L. Boyer, S. Srinivasan, et al.. (2015). SAGE-VAR: AN INFRARED SURVEY OF VARIABILITY IN THE MAGELLANIC CLOUDS. The Astrophysical Journal. 807(1). 1–1. 25 indexed citations
8.
Bianchi, L., Alberto Conti, & Bernie Shiao. (2014). VizieR Online Data Catalog: GALEX-GR6/7 data release (Bianchi+ 2014). 1 indexed citations
9.
Chen, C.‐H. Rosie, R. Indebetouw, Erik Muller, et al.. (2014). SPITZERVIEW OF MASSIVE STAR FORMATION IN THE TIDALLY STRIPPED MAGELLANIC BRIDGE. The Astrophysical Journal. 785(2). 162–162. 8 indexed citations
10.
Conti, Alberto, et al.. (2013). A database of UV variables from the GALEX surveys. Advances in Space Research. 53(6). 967–972. 6 indexed citations
11.
Sewiło, M., L. R. Carlson, Jonathan Seale, et al.. (2013). SURVEYING THE AGENTS OF GALAXY EVOLUTION IN THE TIDALLY STRIPPED, LOW METALLICITY SMALL MAGELLANIC CLOUD (SAGE-SMC). III. YOUNG STELLAR OBJECTS. The Astrophysical Journal. 778(1). 15–15. 44 indexed citations
12.
Bianchi, L., Alberto Conti, & Bernie Shiao. (2013). The ultraviolet sky: An overview from the GALEX surveys. Advances in Space Research. 53(6). 900–912. 73 indexed citations
13.
Oliveira, J. M., J. Th. van Loon, G. C. Sloan, et al.. (2012). Early-stage young stellar objects in the Small Magellanic Cloud. Monthly Notices of the Royal Astronomical Society. 428(4). 3001–3033. 45 indexed citations
14.
Boyer, Martha L., S. Srinivasan, J. Th. van Loon, et al.. (2011). SURVEYING THE AGENTS OF GALAXY EVOLUTION IN THE TIDALLY STRIPPED, LOW METALLICITY SMALL MAGELLANIC CLOUD (SAGE-SMC). II. COOL EVOLVED STARS. The Astronomical Journal. 142(4). 103–103. 106 indexed citations
15.
Conti, Alberto, L. Bianchi, & Bernie Shiao. (2011). The GALEX public archive at MAST. Astrophysics and Space Science. 335(1). 329–331. 7 indexed citations
16.
Boyer, Martha L., J. Th. van Loon, Iain McDonald, et al.. (2010). IS DUST FORMING ON THE RED GIANT BRANCH IN 47 Tuc?. The Astrophysical Journal Letters. 711(2). L99–L103. 27 indexed citations
17.
Carlson, L. R., M. Meixner, M. Sewiło, et al.. (2010). YOUNG STELLAR OBJECTS IN THE LARGE MAGELLANIC CLOUD STAR-FORMING REGION N206. The Astrophysical Journal. 721(1). 357–368. 7 indexed citations
18.
Loon, J. Th. van, J. M. Oliveira, Karl D. Gordon, et al.. (2009). ASPITZER SPACE TELESCOPEFAR-INFRARED SPECTRAL ATLAS OF COMPACT SOURCES IN THE MAGELLANIC CLOUDS. I. THE LARGE MAGELLANIC CLOUD. The Astronomical Journal. 139(1). 68–95. 34 indexed citations
19.
Boyer, Martha L., Iain McDonald, J. Th. van Loon, et al.. (2009). DUST PRODUCTION AND MASS LOSS IN THE GALACTIC GLOBULAR CLUSTER NGC 362. The Astrophysical Journal. 705(1). 746–757. 34 indexed citations
20.
Levay, K., Marc Postman, Bernie Shiao, et al.. (2004). Archiving Data from Multiple Missions - An Exercise in Flexibility and Changing Requirements. 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.

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