Saurabh Johri
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education 1
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- Electronic Health Records Systems 1
- Family Practice top 10%
- Clinical Reasoning and Diagnostic Skills 2
- Artificial Intelligence top 10%
- Machine Learning in Healthcare 2
- Geochemistry and Geologic Mapping 1
- Bayesian Modeling and Causal Inference 1
- Explainable Artificial Intelligence (XAI) 1
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- Data Quality and Management 1
- Co-authors
- Jonathan G. RichensCiarán M. LeeYura PerovChristopher D. HartChristopher HartRobert WaleckiFelix BragmanJoanne R. Winter
- Journals
- Nature Communications (2 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Frontiers in Artificial Intelligence (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Saurabh Johri
5 papers receiving 453 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Health Informatics 90
- Health Information Management 54
- Family Practice 24
- Artificial Intelligence 191
- Radiology, Nuclear Medicine and Imaging 78
Countries citing papers authored by Saurabh Johri
This map shows the geographic impact of Saurabh Johri'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 Saurabh Johri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh Johri more than expected).
Fields of papers citing papers by Saurabh Johri
This network shows the impact of papers produced by Saurabh Johri. 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 Saurabh Johri. The network helps show where Saurabh Johri may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Saurabh Johri, 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 | 2022 | 5 | |
| 2 | 2021 | 6 | |
| 3 | Improving the accuracy of medical diagnosis with causal machine learningbreakdown → | 2020 | 355 |
| 4 | 2020 | 96 | |
| 5 | 2020 | 6 |
About Saurabh Johri
Saurabh Johri is a scholar working on Family Practice, Health Informatics and Health Information Management, having authored 5 papers that have together received 468 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Geochemistry and Geologic Mapping (1 paper), Data Quality and Management (1 paper), Bayesian Modeling and Causal Inference (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Explainable Artificial Intelligence (XAI) (1 paper) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Health Informatics (90 citations), Health Information Management (54 citations) and Family Practice (24 citations). Saurabh Johri has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Jonathan G. Richens, Ciarán M. Lee, Yura Perov, Christopher D. Hart, Christopher Hart, Robert Walecki, Felix Bragman, Joanne R. Winter and Yuanzhao Zhang. Their work appears in journals such as Nature Communications, IEEE Transactions on Neural Networks and Learning Systems and Frontiers in 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.