Anson Ho

620 citations
9 papers · 254 · 1 hit paper · h-index 4

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Explainable Artificial Intelligence (XAI)
    • Neural Networks and Reservoir Computing
    • Topic Modeling

Papers in

Anson Ho

7 papers receiving 239 citations

Anson Ho's Hit Papers

Compute Trends Across Three Eras of Machine Learning 2022 · 177 citations
1770+1+2Years since publication50100150

Peers

Anson Ho
Comparison fields: 5 of 76
  • Health Informatics 14
  • Artificial Intelligence 113
  • Safety Research 25
  • Hardware and Architecture 16
  • Human-Computer Interaction 10
Replace Lennart Heim with:
Lennart Heim Canada
Youn Kyu Lee South Korea
Marius Hobbhahn United States
Yu-Liang Chou Taiwan
Dan Sun China
Fatemehsadat Mireshghallah United States
Hongye Jin United States
Sherif G. Aly Egypt
Vinay Uday Prabhu Portugal
Anson Ho relative to Lennart Heim Canada Lennart Heim's profile →
Citations per field
00.5×
Lennart Heim · 1×
Citations per year

Countries citing papers authored by Anson Ho

Since Specialization
Citations

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

Fields of papers citing papers by Anson Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Anson Ho, 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 Anson Ho Line = papers co-authored together Anson Ho links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Compute Trends Across Three Eras of Machine Learning
Hit paper breakdown →
2022177
2 202359
3 201710
4 20233
5 20132
6 20231
7 20231
8 20161
9 20240

About Anson Ho

Anson Ho is a scholar working on Artificial Intelligence, Human-Computer Interaction, Surgery, Social Psychology and Management Information Systems, having authored 9 papers that have together received 254 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (2 papers), Ethics and Social Impacts of AI (1 paper), Big Data and Business Intelligence (1 paper), Explainable Artificial Intelligence (XAI) (1 paper), Adversarial Robustness in Machine Learning (1 paper), Healthcare Technology and Patient Monitoring (1 paper), Human-Automation Interaction and Safety (1 paper) and Advancements in Semiconductor Devices and Circuit Design (1 paper). The work is most often cited by research in Health Informatics (14 citations), Artificial Intelligence (113 citations), Safety Research (25 citations), Hardware and Architecture (16 citations) and Human-Computer Interaction (10 citations). Anson Ho has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jaime Sevilla, Tamay Besiroglu, Marius Hobbhahn, Lennart Heim, Dylan Hadfield-Menell, Stephen Casper, Shi Cao, Jwu‐Sheng Hu, Catherine M. Burns and Eric C. K. Cheng. Their work appears in journals such as Communications of the ACM, International Journal of Human-Computer Interaction, 2022 International Joint Conference on Neural Networks (IJCNN) and Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

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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