Jonathan Goh

23 total papers · 3.2k total citations
15 papers, 688 citations indexed

About

Jonathan Goh is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Jonathan Goh has authored 15 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Jonathan Goh's work include Digital Media Forensic Detection (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Retinal Imaging and Analysis (3 papers). Jonathan Goh is often cited by papers focused on Digital Media Forensic Detection (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Retinal Imaging and Analysis (3 papers). Jonathan Goh collaborates with scholars based in Singapore, Saudi Arabia and United Kingdom. Jonathan Goh's co-authors include Vrizlynn L. L. Thing, Guang Hua, Sridhar Adepu, Marcus Chun Jin Tan, Khurum Nazir Junejo, Jiwu Huang, Yun Q. Shi, Rohit K. Dubey, Ying Zhang and Lilian Tang and has published in prestigious journals such as PLoS ONE, Signal Processing and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Jonathan Goh

15 papers receiving 659 citations

Author Peers

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

Author Last Decade Papers Cites
Jonathan Goh 317 278 236 219 197 15 688
Xuefei Yin 137 0.4× 161 0.6× 423 1.8× 140 0.6× 72 0.4× 23 756
Yanming Zhu 178 0.6× 132 0.5× 382 1.6× 95 0.4× 53 0.3× 23 718
Zuobin Xiong 133 0.4× 77 0.3× 378 1.6× 113 0.5× 31 0.2× 20 571
Derui Wang 143 0.5× 318 1.1× 527 2.2× 236 1.1× 26 0.1× 30 763
Shaimaa Ahmed Elsaid 134 0.4× 111 0.4× 307 1.3× 215 1.0× 52 0.3× 26 661
Shahroz Tariq 326 1.0× 132 0.5× 279 1.2× 145 0.7× 50 0.3× 30 656
Udayan Khurana 173 0.5× 104 0.4× 313 1.3× 147 0.7× 21 0.1× 27 595
Amit Kumar Sikder 74 0.2× 189 0.7× 165 0.7× 268 1.2× 52 0.3× 23 567
Youcheng Sun 123 0.4× 72 0.3× 474 2.0× 107 0.5× 52 0.3× 46 759
Taimin Zhang 123 0.4× 372 1.3× 427 1.8× 150 0.7× 50 0.3× 17 721

Countries citing papers authored by Jonathan Goh

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Goh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Goh

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Goh. A scholar is included among the top collaborators of Jonathan Goh 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 Jonathan Goh. Jonathan Goh 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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