Jack Zhang

77 total papers · 2.0k total citations
44 papers, 1.5k citations indexed

About

Jack Zhang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Jack Zhang has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 19 papers in Electrical and Electronic Engineering and 16 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Jack Zhang's work include Electronic and Structural Properties of Oxides (20 papers), Magnetic and transport properties of perovskites and related materials (16 papers) and Advanced Condensed Matter Physics (9 papers). Jack Zhang is often cited by papers focused on Electronic and Structural Properties of Oxides (20 papers), Magnetic and transport properties of perovskites and related materials (16 papers) and Advanced Condensed Matter Physics (9 papers). Jack Zhang collaborates with scholars based in United States, Germany and China. Jack Zhang's co-authors include Susanne Stemmer, Santosh Raghavan, Jinwoo Hwang, Tyler A. Cain, Pouya Moetakef, Honggyu Kim, S. J. Allen, Timo Schumann, Daniel G. Ouellette and Anderson Janotti and has published in prestigious journals such as Physical Review Letters, Nature Communications and Applied Physics Letters.

In The Last Decade

Jack Zhang

42 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Jack Zhang 934 725 529 313 177 44 1.5k
Jens Müller 770 0.8× 887 1.2× 443 0.8× 524 1.7× 207 1.2× 85 1.8k
Yuanyuan Zhu 1.1k 1.1× 497 0.7× 291 0.6× 165 0.5× 309 1.7× 83 1.7k
Yi Zhang 1.3k 1.4× 942 1.3× 534 1.0× 189 0.6× 111 0.6× 56 1.9k
Matthew K. Horton 1.4k 1.5× 248 0.3× 597 1.1× 327 1.0× 201 1.1× 51 2.0k
Bharath Natarajan 832 0.9× 398 0.5× 452 0.9× 163 0.5× 263 1.5× 57 2.0k
Benji Maruyama 955 1.0× 302 0.4× 662 1.3× 105 0.3× 294 1.7× 59 1.8k
Anna Semisalova 700 0.7× 624 0.9× 321 0.6× 187 0.6× 135 0.8× 64 1.4k
Shin Tajima 1.3k 1.4× 412 0.6× 842 1.6× 291 0.9× 269 1.5× 56 2.0k
Tae-Hwan Kim 800 0.9× 484 0.7× 519 1.0× 219 0.7× 151 0.9× 80 1.9k
Kazuyoshi Tatsumi 790 0.8× 259 0.4× 1.0k 1.9× 52 0.2× 158 0.9× 56 1.8k

Countries citing papers authored by Jack Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jack Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Zhang

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

All Works

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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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