James Max Kanter
Impact in
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Algorithms
- Imbalanced Data Classification Techniques
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- Time Series Analysis and Forecasting
Papers in
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- Machine Learning and Data Classification 2
- Gaussian Processes and Bayesian Inference 1
- Bayesian Modeling and Causal Inference 1
- Data Stream Mining Techniques 1
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- Software Engineering Research 1
- Co-authors
- Kalyan Veeramachaneni (2 shared papers)
In The Last Decade
James Max Kanter
2 papers receiving 189 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 133
- Signal Processing 32
- Health Information Management 12
- Information Systems 49
- Management Science and Operations Research 20
Countries citing papers authored by James Max Kanter
This map shows the geographic impact of James Max Kanter'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 James Max Kanter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Max Kanter more than expected).
Fields of papers citing papers by James Max Kanter
This network shows the impact of papers produced by James Max Kanter. 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 James Max Kanter. The network helps show where James Max Kanter may publish in the future.
Co-authors
The 1 scholars most cited alongside James Max Kanter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About James Max Kanter
James Max Kanter is a scholar working on Artificial Intelligence, Information Systems, Infectious Diseases, Organic Chemistry and Surgery, having authored 2 papers that have together received 208 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (2 papers), Gaussian Processes and Bayesian Inference (1 paper), Bayesian Modeling and Causal Inference (1 paper), Software Engineering Research (1 paper) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (133 citations), Signal Processing (32 citations), Health Information Management (12 citations), Information Systems (49 citations) and Management Science and Operations Research (20 citations). Frequent co-authors include Kalyan Veeramachaneni.
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.