Joichi Ito

1.4k citations
33 papers · 675 · 1 hit paper · h-index 6

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Adversarial Robustness in Machine Learning
    • Anomaly Detection Techniques and Applications
    • AI in cancer detection

Papers in

Joichi Ito

27 papers receiving 649 citations

Joichi Ito's Hit Papers

Adversarial attacks on medical machine learning 2019 · 545 citations
5450+2+4Years since publication100200300400500

Peers

Joichi Ito
Comparison fields: 5 of 119
  • Health Informatics 146
  • Artificial Intelligence 337
  • Radiology, Nuclear Medicine and Imaging 127
  • Safety Research 49
  • Health Information Management 22
Replace Weixin Liang with:
Weixin Liang United States
Markus Plass Austria
Daniel Smilkov North Macedonia
Franck Dernoncourt United States
Nazik Alturki Saudi Arabia
Emily Reif United States
Daniel Rückert Germany
Aonghus Lawlor Ireland
Federico Bianchi Italy
Qiao Jin United States
Joichi Ito relative to Weixin Liang United States Weixin Liang's profile →
Citations per field
00.5×4.8×
Weixin Liang · 1×
Citations per year

Countries citing papers authored by Joichi Ito

Since Specialization
Citations

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

Fields of papers citing papers by Joichi Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Joichi Ito, 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 Joichi Ito Line = papers co-authored together Joichi Ito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adversarial attacks on medical machine learning
Hit paper breakdown →
2019545
2 200422
3 201720
4
Interventions Over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment
201719
5 201613
6 20176
7 20185
8 20185
9 20194
10 20144
11 20164
12 20183
13 20173
14 20183
15 19972
16 20102
17 20162
18 20032
19 20162
20 20151

About Joichi Ito

Joichi Ito is a scholar working on Astronomy and Astrophysics, Sociology and Political Science, Cognitive Neuroscience, Infectious Diseases and Communication, having authored 33 papers that have together received 675 indexed citations. Recurring topics across this work include Space Science and Extraterrestrial Life (2 papers), Opinion Dynamics and Social Influence (1 paper), Evolutionary Game Theory and Cooperation (1 paper), Criminal Justice and Corrections Analysis (1 paper), SARS-CoV-2 detection and testing (1 paper), Adversarial Robustness in Machine Learning (1 paper), Neuroethics, Human Enhancement, Biomedical Innovations (1 paper) and FinTech, Crowdfunding, Digital Finance (1 paper). The work is most often cited by research in Health Informatics (146 citations), Artificial Intelligence (337 citations), Radiology, Nuclear Medicine and Imaging (127 citations), Safety Research (49 citations) and Health Information Management (22 citations). Joichi Ito has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Jonathan Zittrain, Isaac S. Kohane, Samuel G. Finlayson, Andrew L. Beam, Madars Virza, Karthik Dinakar, Samantha Bates and Fahim Farzadfard. Their work appears in journals such as Research-Technology Management, Science, Interventions, Design Management Review and SSRN Electronic Journal.

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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