Scott Michael

541 citations
29 papers · 349 · h-index 10

Impact in

Papers in

Scott Michael

27 papers receiving 324 citations

Peers

Scott Michael
Comparison fields: 5 of 66
  • Astronomy and Astrophysics 178
  • Information Systems and Management 62
  • Instrumentation 25
  • Computer Networks and Communications 85
  • Information Systems 55
Replace Danny Boxhoorn with:
Danny Boxhoorn Netherlands
B. McCollum United States
H. Enke Germany
H. A. Holties Netherlands
J. Colomé Spain
O. Pevunova United States
M. Bandieramonte Italy
G. A. Renting Netherlands
Tatsushi Matsubayashi Japan
David M. Clark United States
Scott Michael relative to Danny Boxhoorn Netherlands Danny Boxhoorn's profile →
Citations per field
00.5×7.7×
Danny Boxhoorn · 1×
Citations per year

Countries citing papers authored by Scott Michael

Since Specialization
Citations

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

Fields of papers citing papers by Scott Michael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Scott Michael, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott Michael Line = papers co-authored together Scott Michael links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201566
2 200564
3 200644
4 202025
5 201223
6 201018
7 201214
8 201313
9 202111
10 20129
11 20129
12 20228
13 20227
14 20235
15 20105
16 20105
17 20124
18 20184
19 20143
20 20213

About Scott Michael

Scott Michael is a scholar working on Astronomy and Astrophysics, Computer Networks and Communications, Information Systems, Information Systems and Management and Hardware and Architecture, having authored 29 papers that have together received 349 indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (12 papers), Astrophysics and Star Formation Studies (10 papers), Advanced Data Storage Technologies (8 papers), Distributed and Parallel Computing Systems (8 papers), Astro and Planetary Science (6 papers), Scientific Computing and Data Management (6 papers), Cloud Computing and Resource Management (4 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Astronomy and Astrophysics (178 citations), Information Systems and Management (62 citations), Instrumentation (25 citations), Computer Networks and Communications (85 citations) and Information Systems (55 citations). Scott Michael has collaborated with scholars based in United States, Germany and China. Frequent co-authors include R. H. Durisen, Aaron C. Boley, Kai Cai, T. Y. Steiman-Cameron, Travis L. Osborne, Katherine Lawrence, Jessica Cook, Annie C. Mejía, Michael Zentner and Marlon Pierce. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics, Radiation Protection Dosimetry and Computing in Science & Engineering.

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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