Michael Gowanlock

600 citations
47 papers · 321 · h-index 10

Impact in

    • Data Management and Algorithms
    • Time Series Analysis and Forecasting
    • Stellar, planetary, and galactic studies
    • Radio Astronomy Observations and Technology
    • Astro and Planetary Science

Papers in

Michael Gowanlock

44 papers receiving 301 citations

Peers

Michael Gowanlock
Comparison fields: 5 of 66
  • Signal Processing 84
  • Astronomy and Astrophysics 99
  • Hardware and Architecture 39
  • Computational Mathematics 3
  • Computer Vision and Pattern Recognition 72
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Hantian Zhang Switzerland
Colin B. Clement United States
Ce Yu China
John Brooke United Kingdom
Umaa Rebbapragada United States
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Citations per field
00.5×3.5×
Hantian Zhang · 1×
Citations per year

Countries citing papers authored by Michael Gowanlock

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gowanlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Gowanlock, 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 Michael Gowanlock Line = papers co-authored together Michael Gowanlock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201755
2 201223
3 201521
4 201513
5 202013
6 201613
7 201511
8 201910
9 20179
10 20199
11 20189
12 20179
13 20169
14 20219
15 20188
16 20218
17 20217
18 20235
19 20235
20 20145

About Michael Gowanlock

Michael Gowanlock is a scholar working on Signal Processing, Artificial Intelligence, Hardware and Architecture, Astronomy and Astrophysics and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 321 indexed citations. Recurring topics across this work include Data Management and Algorithms (17 papers), Stellar, planetary, and galactic studies (8 papers), Advanced Clustering Algorithms Research (7 papers), Parallel Computing and Optimization Techniques (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Time Series Analysis and Forecasting (5 papers), Physical Unclonable Functions (PUFs) and Hardware Security (5 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Signal Processing (84 citations), Astronomy and Astrophysics (99 citations), Hardware and Architecture (39 citations), Computational Mathematics (3 citations) and Computer Vision and Pattern Recognition (72 citations). Michael Gowanlock has collaborated with scholars based in United States, Belgium and Switzerland. Frequent co-authors include Henri Casanova, Rich Gazan, Victor Pankratius, D. M. Blair, Vincent L. Fish, Kazunori Akiyama, Avery E. Broderick, Shiro Ikeda, Jason Dexter and Mareki Honma. Their work appears in journals such as The Astronomical Journal, IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, Astronomy and Computing and Astrobiology.

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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