S. Magill

10.9k citations
28 papers · 226 · h-index 9

Impact in

Papers in

    • Logic, programming, and type systems 6
    • Particle Detector Development and Performance 7
    • Particle physics theoretical and experimental studies 5
    • Dark Matter and Cosmic Phenomena 4
    • Neutrino Physics Research 3
    • Astrophysics and Cosmic Phenomena 3

S. Magill

22 papers receiving 218 citations

Peers

S. Magill
Comparison fields: 5 of 37
  • Software 73
  • Computational Theory and Mathematics 81
  • Hardware and Architecture 28
  • Artificial Intelligence 131
  • Signal Processing 28
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Citations per field
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Citations per year

Countries citing papers authored by S. Magill

Since Specialization
Citations

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

Fields of papers citing papers by S. Magill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201032
2 201832
3 201124
4 201821
5
Inferring Invariants in Separation Logic for Imperative List-processing Programs
200521
6 201217
7 201315
8 200914
9 199712
10 20187
11 20205
12 20075
13
Instrumentation analysis: an automated method for producing numeric abstractions of heap-manipulating programs
20104
14 20124
15 20123
16 20102
17
High Resolution Measurements of Cosmic-ray Air Showers with the Track Imaging Čerenkov Experiment
20072
18 19932
19 20251
20 20211

About S. Magill

S. Magill is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics, Computational Theory and Mathematics, Software and Computer Networks and Communications, having authored 28 papers that have together received 226 indexed citations. Recurring topics across this work include Formal Methods in Verification (7 papers), Particle Detector Development and Performance (7 papers), Logic, programming, and type systems (6 papers), Software Testing and Debugging Techniques (6 papers), Particle physics theoretical and experimental studies (5 papers), Dark Matter and Cosmic Phenomena (4 papers), Neutrino Physics Research (3 papers) and Astrophysics and Cosmic Phenomena (3 papers). The work is most often cited by research in Software (73 citations), Computational Theory and Mathematics (81 citations), Hardware and Architecture (28 citations), Artificial Intelligence (131 citations) and Signal Processing (28 citations). S. Magill has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Peter Lee, Michael Hicks, He Zhu, Suresh Jagannathan, Piotr Mardziel, Mudhakar Srivatsa, Ming-Hsien Tsai, Yih-Kuen Tsay, Kathryn S. McKinley and Edmund Clarke. Their work appears in journals such as ACM SIGPLAN Notices, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Scientific Reports, British Journal of Oral and Maxillofacial Surgery and Journal of Physics G Nuclear and Particle Physics.

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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