Pablo Pedemonte
- Artificial Intelligence
- Safety Research
- Health Informatics top 10%
- Computer Vision and Pattern Recognition
- Information Systems and Management
- Co-authors
- Moninder SinghSami MouradPrasanna SattigeriAleksandra MojsilovićStephanie HoudeVijay AryaDennis WeiMichael Hind
- Topics
- Explainable Artificial Intelligence (XAI) (3 papers)Adversarial Robustness in Machine Learning (2 papers)Artificial Intelligence in Healthcare and Education (2 papers)
- Journals
- Journal of Machine Learning ResearchProceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United StatesArgentinaIreland
In The Last Decade
Pablo Pedemonte
7 papers receiving 99 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 84
- Safety Research 22
- Health Informatics 20
- Computer Vision and Pattern Recognition 11
- Information Systems and Management 8
Countries citing papers authored by Pablo Pedemonte
This map shows the geographic impact of Pablo Pedemonte'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 Pablo Pedemonte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Pedemonte more than expected).
Fields of papers citing papers by Pablo Pedemonte
This network shows the impact of papers produced by Pablo Pedemonte. 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 Pablo Pedemonte. The network helps show where Pablo Pedemonte may publish in the future.
Co-authorship network of co-authors of Pablo Pedemonte
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Pedemonte. A scholar is included among the top collaborators of Pablo Pedemonte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pablo Pedemonte. Pablo Pedemonte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models | 37 |
| 3 | 19 | |
| 4 | 30 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 3 |
About Pablo Pedemonte
Pablo Pedemonte is a scholar working on Health Informatics, Software and Human-Computer Interaction, having authored 7 papers that have together received 106 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (20 citations), Safety Research (22 citations) and Artificial Intelligence (84 citations). Pablo Pedemonte has collaborated with scholars based in United States, Argentina and Ireland. Frequent co-authors include Moninder Singh, Sami Mourad, Prasanna Sattigeri, Aleksandra Mojsilović, Stephanie Houde, Vijay Arya, Dennis Wei, Michael Hind, Ronny Luss and Rachel Bellamy. Their work appears in journals such as Journal of Machine Learning Research and Proceedings of the AAAI Conference on Artificial Intelligence.
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.