Anson Ho
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 10%
- Topic Modeling
- Neural Networks and Reservoir Computing
- Explainable Artificial Intelligence (XAI)
Papers in
-
- Explainable Artificial Intelligence (XAI) 1
- Adversarial Robustness in Machine Learning 1
-
- Gaze Tracking and Assistive Technology 2
- Co-authors
- Tamay Besiroglu (3 shared papers)Jaime Sevilla (2 shared papers)Lennart Heim (1 shared paper)Marius Hobbhahn (1 shared paper)Stephen Casper (1 shared paper)Dylan Hadfield-Menell (1 shared paper)Shi Cao (2 shared papers)Jwu‐Sheng Hu (1 shared paper)
- Journals
- International Journal of Human-Computer Interaction (1 paper)Communications of the ACM (1 paper)2022 International Joint Conference on Neural Networks (IJCNN) (1 paper)Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Anson Ho
7 papers receiving 225 citations
Anson Ho's Hit Papers
Peers
Comparison fields: 5 of 73
- Health Informatics 12
- Artificial Intelligence 101
- Safety Research 23
- Hardware and Architecture 16
- Human-Computer Interaction 10
Countries citing papers authored by Anson Ho
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Compute Trends Across Three Eras of Machine Learning Hit paper breakdown → | 2022 | 167 |
| 2 | 2023 | 52 | |
| 3 | 2017 | 10 | |
| 4 | 2023 | 3 | |
| 5 | 2013 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2016 | 1 | |
| 9 | 2024 | 0 |
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 237 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 (12 citations), Artificial Intelligence (101 citations), Safety Research (23 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 Tamay Besiroglu, Jaime Sevilla, Lennart Heim, Marius Hobbhahn, Stephen Casper, Dylan Hadfield-Menell, Shi Cao, Jwu‐Sheng Hu, Catherine M. Burns and Eric C. K. Cheng. Their work appears in journals such as International Journal of Human-Computer Interaction, Communications of the ACM, 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.