Chris Cundy
Impact in
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- Geographic Information Systems Studies
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- Human Mobility and Location-Based Analysis
Papers in
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- Geographic Information Systems Studies 2
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- Machine Learning and Data Classification 1
- Anomaly Detection Techniques and Applications 1
- Co-authors
- Gengchen Mai (3 shared papers)Yingjie Hu (3 shared papers)Ni Lao (3 shared papers)Kristy Choi (2 shared papers)Kenneth Joseph (1 shared paper)Wei Liu (1 shared paper)Ryan Zhenqi Zhou (1 shared paper)Stefano Ermon (3 shared papers)
- Journals
- ACM Transactions on Spatial Algorithms and Systems (1 paper)International Journal of Multiphase Flow (1 paper)Uncertainty in Artificial Intelligence (1 paper)International Journal of Geographical Information Systems (1 paper)Proceedings (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Chris Cundy
6 papers receiving 244 citations
Chris Cundy's Hit Papers
Peers
Comparison fields: 5 of 54
- Geography, Planning and Development 80
- Transportation 27
- Geochemistry and Petrology 16
- Health Informatics 4
- Signal Processing 31
Countries citing papers authored by Chris Cundy
This map shows the geographic impact of Chris Cundy'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 Chris Cundy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Cundy more than expected).
Fields of papers citing papers by Chris Cundy
This network shows the impact of papers produced by Chris Cundy. 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 Chris Cundy. The network helps show where Chris Cundy may publish in the future.
Co-authors
The 20 scholars most cited alongside Chris Cundy, 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 | Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages Hit paper breakdown → | 2023 | 119 |
| 2 | On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper) Hit paper breakdown → | 2024 | 76 |
| 3 | 2022 | 48 | |
| 4 | 2024 | 8 | |
| 5 | Flexible Approximate Inference via Stratified Normalizing Flows. | 2020 | 1 |
| 6 | 2020 | 1 | |
| 7 | 2025 | 1 |
About Chris Cundy
Chris Cundy is a scholar working on Geography, Planning and Development, Artificial Intelligence, Geochemistry and Petrology, Communication and Orthopedics and Sports Medicine, having authored 7 papers that have together received 254 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (2 papers), Machine Learning and Data Classification (1 paper), Acoustic Wave Phenomena Research (1 paper), Deception detection and forensic psychology (1 paper), Anomaly Detection Techniques and Applications (1 paper), Geological Modeling and Analysis (1 paper), Public Relations and Crisis Communication (1 paper) and Vehicle Noise and Vibration Control (1 paper). The work is most often cited by research in Geography, Planning and Development (80 citations), Transportation (27 citations), Geochemistry and Petrology (16 citations), Health Informatics (4 citations) and Signal Processing (31 citations). Chris Cundy has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Gengchen Mai, Yingjie Hu, Ni Lao, Kristy Choi, Kenneth Joseph, Wei Liu, Ryan Zhenqi Zhou, Stefano Ermon, Song Gao and Ninghao Liu. Their work appears in journals such as ACM Transactions on Spatial Algorithms and Systems, International Journal of Multiphase Flow, Uncertainty in Artificial Intelligence, International Journal of Geographical Information Systems and Proceedings.
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.