Ian Schofield

2.6k citations
99 papers · 1.8k indexed · h-index 23
Topics
Muscle activation and electromyography studies (22 papers)Ionosphere and magnetosphere dynamics (20 papers)Earthquake Detection and Analysis (12 papers)

In The Last Decade

Ian Schofield

95 papers receiving 1.7k citations

Peers

Ian Schofield
Comparison fields: 5 of 134
  • Cellular and Molecular Neuroscience 457
  • Astronomy and Astrophysics 378
  • Neurology 346
  • Cognitive Neuroscience 285
  • Molecular Biology 281
Replace Jun Kimura with:
Jun Kimura Japan
Edgar A. Bering United States
Éric Thouvenot France
John H. Thomas United States
Deborah J. Henderson United Kingdom
Michael C. Kelly United States
John C. Haselgrove United States
David L. Daniels United States
Chiaki Kobayashi United Kingdom
G. La Rosa Italy
Ian Schofield relative to Jun Kimura Japan Jun Kimura's profile →
Citations per field
00.5×1.6×
Jun Kimura · 1×
Citations per year

Countries citing papers authored by Ian Schofield

Since Specialization
Citations

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

Fields of papers citing papers by Ian Schofield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Schofield

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Schofield. A scholar is included among the top collaborators of Ian Schofield 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 Ian Schofield. Ian Schofield 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
#WorkIndexed citations
1 4
2 2
3 0
4 1
5 1
6 0
7 4
8 4
9 4
10 9
11 17
12 110
13 6
14
In Search of Trends in Noctilucent Cloud Incidence from the La Ronge Flight Service Station (55N 105W)
3
15
AUTUMN/STEP and POLARIS EHB: Spanning Canada With Research Magnetometers
1
16 102
17 21
18 105
19 30
20
Artificial neural net algorithms in classifying electromyographic signals
5

About Ian Schofield

Ian Schofield is a scholar working on Astronomy and Astrophysics, Neurology and Cellular and Molecular Neuroscience, having authored 99 papers that have together received 1.8k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (22 papers), Ionosphere and magnetosphere dynamics (20 papers) and Earthquake Detection and Analysis (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (457 citations), Astronomy and Astrophysics (378 citations) and Neurology (346 citations). Ian Schofield has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include P. Fawcett, Martin Connors, Miles A. Whittington, Roger D. Traub, Anders Fuglsang‐Frederiksen, Birger Johnsen, Mark O. Cunningham, Wilfred A. Nix, Rocco Liguori and Mamede de Carvalho. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

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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