Anand Avati

871 total citations
6 papers, 166 citations indexed

About

Anand Avati is a scholar working on Economics and Econometrics, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Anand Avati has authored 6 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Economics and Econometrics, 2 papers in Health Information Management and 2 papers in Artificial Intelligence. Recurrent topics in Anand Avati's work include Machine Learning in Healthcare (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Anand Avati is often cited by papers focused on Machine Learning in Healthcare (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Anand Avati collaborates with scholars based in United States and United Kingdom. Anand Avati's co-authors include Andrew Y. Ng, Sanjay Basu, Daisy Yi Ding, Alejandro Schuler, Tony Duan, Khanh K. Thai, Sara G. Murray, Gabriela Schmajuk, Jinoos Yazdany and Nigam H. Shah and has published in prestigious journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics and International Conference on Machine Learning.

In The Last Decade

Anand Avati

6 papers receiving 160 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anand Avati United States	5	60	29	24	21	17	6	166
Łukasz Czogalik Poland	6	50 0.8×	72 2.5×	17 0.7×	15 0.7×	5 0.3×	16	252
Wiktoria Bartnikowska Poland	5	43 0.7×	69 2.4×	15 0.6×	15 0.7×	5 0.3×	10	220
Carlos A. Ortega United States	11	30 0.5×	17 0.6×	19 0.8×	19 0.9×	16 0.9×	28	315
Vishesh Kumar United States	8	69 1.1×	8 0.3×	32 1.3×	30 1.4×	11 0.6×	32	257
Yiran Tan Australia	11	58 1.0×	36 1.2×	24 1.0×	36 1.7×	1 0.1×	35	292
Wanmin Lian China	9	58 1.0×	16 0.6×	10 0.4×	27 1.3×	2 0.1×	16	257
Jonathan Mayer United States	3	46 0.8×	77 2.7×	27 1.1×	11 0.5×	3 0.2×	9	192
Chi Wei Ong Singapore	10	48 0.8×	83 2.9×	33 1.4×	32 1.5×	3 0.2×	29	436
Molly Bekbolatova United States	3	44 0.7×	77 2.7×	26 1.1×	11 0.5×	3 0.2×	7	190
Karsten Kortuem Germany	14	27 0.5×	10 0.3×	16 0.7×	87 4.1×	6 0.4×	37	687

Countries citing papers authored by Anand Avati

Since Specialization

Citations

This map shows the geographic impact of Anand Avati'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 Anand Avati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anand Avati more than expected).

Fields of papers citing papers by Anand Avati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anand Avati. 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 Anand Avati. The network helps show where Anand Avati may publish in the future.

Co-authorship network of co-authors of Anand Avati

This figure shows the co-authorship network connecting the top 25 collaborators of Anand Avati. A scholar is included among the top collaborators of Anand Avati 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 Anand Avati. Anand Avati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Li, Ron, Margaret Smith, Anand Avati, et al.. (2022). Using AI to Empower Collaborative Team Workflows: Two Implementations for Advance Care Planning and Care Escalation. NEJM Catalyst. 3(4). 16 indexed citations

2.

Ko, Michael, Emma Chen, Ashwin Agrawal, et al.. (2021). Improving hospital readmission prediction using individualized utility analysis. Journal of Biomedical Informatics. 119. 103826–103826. 7 indexed citations

3.

Jung, Kenneth, Sehj Kashyap, Anand Avati, et al.. (2020). A framework for making predictive models useful in practice. Journal of the American Medical Informatics Association. 28(6). 1149–1158. 44 indexed citations

4.

Duan, Tony, Anand Avati, Daisy Yi Ding, et al.. (2020). NGBoost: Natural Gradient Boosting for Probabilistic Prediction. International Conference on Machine Learning. 1. 2690–2700. 69 indexed citations

5.

Avati, Anand, Tony Duan, Sharon Zhou, et al.. (2018). Countdown Regression: Sharp and Calibrated Survival Predictions. Uncertainty in Artificial Intelligence. 145–155. 2 indexed citations

6.

Murray, Sara G., Anand Avati, Gabriela Schmajuk, & Jinoos Yazdany. (2018). Automated and flexible identification of complex disease: building a model for systemic lupus erythematosus using noisy labeling. Journal of the American Medical Informatics Association. 26(1). 61–65. 28 indexed citations

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.

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