Michael R. Zhang

17 total papers · 632 total citations
3 papers, 72 citations indexed

About

Michael R. Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Michael R. Zhang has authored 3 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Michael R. Zhang's work include Text Readability and Simplification (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and Advanced Neural Network Applications (1 paper). Michael R. Zhang is often cited by papers focused on Text Readability and Simplification (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and Advanced Neural Network Applications (1 paper). Michael R. Zhang collaborates with scholars based in Canada, United States and United Kingdom. Michael R. Zhang's co-authors include Jimmy Ba, James Lucas, Geoffrey E. Hinton, Cosmin Păduraru, George Tucker, Mohammad Norouzi, Andrew Petersen and Ofir Nachum and has published in prestigious journals such as arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Michael R. Zhang

3 papers receiving 68 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael R. Zhang	32	30	6	5	5	3	72
Ilchae Jung	28 0.9×	70 2.3×	7 1.2×	2 0.4×	6 1.2×	3	119
Hansheng Ren	20 0.6×	32 1.1×	6 1.0×	3 0.6×	3 0.6×	4	48
Grace Chu	52 1.6×	54 1.8×	3 0.5×	3 0.6×	3 0.6×	3	71
Lukas Schott	61 1.9×	27 0.9×	10 1.7×	3 0.6×	3 0.6×	4	90
Jaehong Yoon	80 2.5×	54 1.8×	4 0.7×	1 0.2×	3 0.6×	6	112
Shenyuan Gao	21 0.7×	94 3.1×	3 0.5×	6 1.2×	8 1.6×	3	127
Alfredo Canziani	14 0.4×	16 0.5×	5 0.8×	8 1.6×	2 0.4×	4	50
Seiya Tokui	33 1.0×	30 1.0×	5 0.8×	1 0.2×	3 0.6×	2	70
Patrick Poirson	46 1.4×	97 3.2×	7 1.2×	2 0.4×	4 0.8×	3	123
Mohammad Pezeshki	25 0.8×	17 0.6×	4 0.7×		5 1.0×	3	52

Countries citing papers authored by Michael R. Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Michael R. Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Zhang. 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 Michael R. Zhang. The network helps show where Michael R. Zhang may publish in the future.

Co-authorship network of co-authors of Michael R. Zhang

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact