Ian Johnson

128 papers receiving 3.5k citations

Ian Johnson's Hit Papers

The Building Blocks of Interpretability 2018 · 303 citations
3030+3+6Years since publication100200300400500

Peers

Ian Johnson
Comparison fields: 5 of 205
  • Structural Biology 84
  • Radiation 358
  • Developmental Neuroscience 113
  • Health Informatics 34
  • Sensory Systems 94
Replace Hui Mao with:
Hui Mao United States
David L. Wilson United States
Weili Lin United States
Chunlei Liu China
Markus Loeffler Germany
Alexandra J. Golby United States
Michael D. Taylor Canada
Bernd J. Pichler Germany
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Ian Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Ian Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How to Use t-SNE Effectively
Hit paper breakdown →
2016521
2 2009319
3
The Building Blocks of Interpretability
Hit paper breakdown →
2018303
4 2010209
5 2018149
6 2009143
7 2010131
8 2005110
9 1998110
10 2010102
11 200787
12 201984
13 200083
14 201183
15 201254
16
A quantitative ultrastructural comparison of alpha and gamma motoneurons in the thoracic region of the spinal cord of the adult cat.
198653
17 201042
18 201241
19 199840
20 201338

About Ian Johnson

Ian Johnson is a scholar working on Cellular and Molecular Neuroscience, Neurology, Electrical and Electronic Engineering, Molecular Biology and Developmental Neuroscience, having authored 136 papers that have together received 3.7k indexed citations. Recurring topics across this work include Nerve injury and regeneration (12 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), Advanced Fiber Optic Sensors (7 papers), Public Health Policies and Education (6 papers), Advanced X-ray and CT Imaging (6 papers), Photonic and Optical Devices (5 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Structural Biology (84 citations), Radiation (358 citations), Developmental Neuroscience (113 citations), Health Informatics (34 citations) and Sensory Systems (94 citations). Ian Johnson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Martin Wattenberg, Fernanda Viégas, A. Mozzanica, A. Bergamaschi, R. Dinapoli, B. Schmitt, B. Henrich, Chris Olah, Philipp Kraft and Shan Carter. Their work appears in journals such as Clinical Anatomy, Brain Research, Canadian Journal of Public Health, Journal of Synchrotron Radiation and Clinical Chiropractic.

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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