Jared Katzman

2.0k total citations · 1 hit paper
7 papers, 1.0k citations indexed

About

Jared Katzman is a scholar working on Artificial Intelligence, Information Systems and Food Science. According to data from OpenAlex, Jared Katzman has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Food Science. Recurrent topics in Jared Katzman's work include Machine Learning in Healthcare (2 papers), Food Waste Reduction and Sustainability (2 papers) and Organic Food and Agriculture (1 paper). Jared Katzman is often cited by papers focused on Machine Learning in Healthcare (2 papers), Food Waste Reduction and Sustainability (2 papers) and Organic Food and Agriculture (1 paper). Jared Katzman collaborates with scholars based in United States, Australia and United Kingdom. Jared Katzman's co-authors include Tingting Jiang, Yuval Kluger, Jonathan Bates, Alexander Cloninger, Uri Shaham, Hanna Wallach, Angelina Wang, Solon Barocas, Morgan Klaus Scheuerman and Su Lin Blodgett and has published in prestigious journals such as BMC Medical Research Methodology, Figshare and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Jared Katzman

4 papers receiving 989 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

2018 973 citations Jared Katzman, Uri Shaham et al. BMC Medical Research Methodology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jared Katzman United States	3	437	374	182	145	131	7	1.0k
Jonathan Bates United States	9	444 1.0×	382 1.0×	182 1.0×	153 1.1×	133 1.0×	20	1.1k
Uri Shaham United States	11	748 1.7×	386 1.0×	187 1.0×	325 2.2×	134 1.0×	16	1.6k
F. W. Samuelson United States	11	209 0.5×	292 0.8×	183 1.0×	116 0.8×	101 0.8×	53	657
Mohamed Amgad United States	18	692 1.6×	717 1.9×	156 0.9×	250 1.7×	195 1.5×	32	1.6k
R. Vanguri United States	10	222 0.5×	325 0.9×	97 0.5×	140 1.0×	178 1.4×	20	799
Safoora Yousefi United States	5	480 1.1×	457 1.2×	107 0.6×	174 1.2×	116 0.9×	7	883
Michael F. Gensheimer United States	22	199 0.5×	534 1.4×	499 2.7×	75 0.5×	245 1.9×	88	1.2k
Ji Zhang China	20	207 0.5×	580 1.6×	314 1.7×	216 1.5×	159 1.2×	79	1.4k
Azzam Taktak United Kingdom	22	216 0.5×	247 0.7×	183 1.0×	490 3.4×	661 5.0×	53	1.7k
Vanya Van Belle Belgium	15	195 0.4×	69 0.2×	54 0.3×	94 0.6×	99 0.8×	25	691

Countries citing papers authored by Jared Katzman

Since Specialization

Citations

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

Fields of papers citing papers by Jared Katzman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jared Katzman

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Israni, Aarti, et al.. (2025). Comparative Analysis of Independent Food Delivery Platforms: Empowering Food Movement Values. 1–6.

2.

Katzman, Jared, et al.. (2025). Technological Tensions In Urban Food Sovereignty: Insights from Detroit’s Farmers. 1–8.

3.

Katzman, Jared, Anupriya Tuli, Naveena Karusala, et al.. (2025). Advancing Post-growth HCI. 1–6.

4.

Katzman, Jared, Angelina Wang, Morgan Klaus Scheuerman, et al.. (2023). Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14277–14285. 12 indexed citations

5.

Das, Sanjiv Ranjan, et al.. (2021). Fairness Measures for Machine Learning in Finance. 3(4). 33–64. 15 indexed citations

6.

Katzman, Jared, Uri Shaham, Alexander Cloninger, et al.. (2018). DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network. BMC Medical Research Methodology. 18(1). 24–24. 973 indexed citations breakdown →

7.

Katzman, Jared. (2017). jaredleekatzman/DeepSurv: Second Release of DeepSurv. Figshare. 2 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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