Zachary Nado

3.2k total citations
3 papers, 102 citations indexed

About

Zachary Nado is a scholar working on Information Systems, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Zachary Nado has authored 3 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Information Systems, 1 paper in Hardware and Architecture and 1 paper in Artificial Intelligence. Recurrent topics in Zachary Nado's work include Software Engineering Research (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Zachary Nado is often cited by papers focused on Software Engineering Research (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Zachary Nado collaborates with scholars based in United States and Canada. Zachary Nado's co-authors include Jasper Snoek, D. Sculley, Yaniv Ovadia, Joshua V. Dillon, Emily Fertig, Sebastian Nowozin, Balaji Lakshminarayanan, Jie Ren, Dan Moldovan and Brian K. Lee and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Zachary Nado

3 papers receiving 94 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zachary Nado United States	3	74	33	6	6	6	3	102
Jiacheng Sun China	6	29 0.4×	34 1.0×	8 1.3×	9 1.5×	3 0.5×	22	101
Seiya Tokui Japan	2	33 0.4×	30 0.9×	2 0.3×	5 0.8×	10 1.7×	2	70
Ousmane Dia United States	3	79 1.1×	35 1.1×	7 1.2×	7 1.2×	2 0.3×	5	95
Xiyu Zhai United States	5	78 1.1×	25 0.8×	2 0.3×	4 0.7×	3 0.5×	5	95
Nathan Schucher Canada	2	32 0.4×	52 1.6×	5 0.8×	6 1.0×	3 0.5×	2	79
Kien Do Australia	5	52 0.7×	22 0.7×	2 0.3×	6 1.0×	12 2.0×	13	65
Orestis Plevrakis United States	2	84 1.1×	51 1.5×	4 0.7×	5 0.8×	1 0.2×	2	113
Tri Dao United States	6	37 0.5×	20 0.6×	18 3.0×	4 0.7×	2 0.3×	12	74
Jihoon Tack South Korea	3	38 0.5×	18 0.5×	3 0.5×	3 0.5×	6 1.0×	5	47
Hadi Daneshmand Switzerland	7	55 0.7×	20 0.6×	6 1.0×	3 0.5×	7 1.2×	8	96

Countries citing papers authored by Zachary Nado

Since Specialization

Citations

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

Fields of papers citing papers by Zachary Nado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zachary Nado

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

All Works

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3 of 3 papers shown

1.

Ovadia, Yaniv, Emily Fertig, Jie Ren, et al.. (2019). Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift. arXiv (Cornell University). 32. 13969–13980. 92 indexed citations

2.

Moldovan, Dan, Fei Wang, A. Johnson, et al.. (2019). AutoGraph: Imperative-style Coding with Graph-based Performance. 6 indexed citations

3.

Nado, Zachary, et al.. (2018). STOCHASTIC GRADIENT LANGEVIN DYNAMICS THAT EXPLOIT NEURAL NETWORK STRUCTURE. International Conference on Learning Representations. 4 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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