IP Johnson

140 papers receiving 3.9k citations

IP Johnson's Hit Papers

The Building Blocks of Interpretability 2018 · 376 citations
3760+3+6Years since publication100200300400500

Peers

IP Johnson
Comparison fields: 5 of 208
  • Structural Biology 88
  • Radiation 370
  • Developmental Neuroscience 117
  • Health Informatics 41
  • Sensory Systems 95
Replace Hui Mao with:
Hui Mao United States
David L. Wilson United States
Hong Liu United States
Reto Antoine Meuli Switzerland
Chunlei Liu China
Weili Lin United States
Alexandra J. Golby United States
Markus W. Loeffler Germany
Michael D. Taylor Canada
Bernd J. Pichler Germany
IP Johnson relative to Hui Mao United States Hui Mao's profile →
Citations per field
00.5×2×2.8×
Hui Mao · 1×
Citations per year

Countries citing papers authored by IP Johnson

Since Specialization
Citations

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

Fields of papers citing papers by IP Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How to Use t-SNE Effectively
Hit paper breakdown →
2016583
2
The Building Blocks of Interpretability
Hit paper breakdown →
2018376
3 2009341
4 2010224
5 2018174
6 2009146
7 2010137
8 1998116
9 2010109
10 2005109
11 2019104
12 200094
13 201192
14 200789
15 201257
16 198454
17
A quantitative ultrastructural comparison of alpha and gamma motoneurons in the thoracic region of the spinal cord of the adult cat.
198653
18 201046
19 201243
20 199841

About IP Johnson

IP Johnson is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Neurology, General Health Professions and Radiation, having authored 146 papers that have together received 4.1k indexed citations. Recurring topics across this work include Nerve injury and regeneration (12 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Distributed and Parallel Computing Systems (8 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) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Structural Biology (88 citations), Radiation (370 citations), Developmental Neuroscience (117 citations), Health Informatics (41 citations) and Sensory Systems (95 citations). IP Johnson has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Fernanda Viégas, MARTIN P. WATTENBERG, A. Bergamaschi, A. Mozzanica, Bernd Schmitt, R. Dinapoli, B. Henrich, Shan Carter, Chris Olah and Ludwig Schubert. Their work appears in journals such as Canadian Journal of Public Health, Clinical Anatomy, Brain Research, Journal of Synchrotron Radiation and The British Journal of Psychiatry.

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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