Jonathan Goh

3.3k citations
15 papers · 706 · h-index 11

Impact in

Papers in

Jonathan Goh

15 papers receiving 676 citations

Peers

Jonathan Goh
Comparison fields: 5 of 60
  • Signal Processing 286
  • Computer Vision and Pattern Recognition 323
  • Computer Networks and Communications 224
  • Control and Systems Engineering 201
  • Artificial Intelligence 242
Replace Satyabrata Roy with:
Satyabrata Roy India
Yenumula B. Reddy United States
Gérôme Bovet Switzerland
Antonios Sarigiannidis Greece
Ditipriya Sinha India
Vani Rajasekar India
Carla Purdy United States
Eul Gyu Im South Korea
BooJoong Kang South Korea
Youngsoo Kim South Korea
Jonathan Goh relative to Satyabrata Roy India Satyabrata Roy's profile →
Citations per field
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Satyabrata Roy · 1×
Citations per year

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-authors

The 23 scholars most cited alongside Jonathan Goh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Goh Line = papers co-authored together Jonathan Goh links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2017242
2 2016127
3 201667
4 201663
5 201562
6 201632
7 201424
8 201524
9 201518
10 201315
11 201711
12 20099
13 20235
14 20105
15 20112

About Jonathan Goh

Jonathan Goh is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 706 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (6 papers), Advanced Steganography and Watermarking Techniques (5 papers), Network Security and Intrusion Detection (3 papers), Retinal Imaging and Analysis (3 papers), Speech and Audio Processing (2 papers), Medical Image Segmentation Techniques (2 papers), Music and Audio Processing (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (286 citations), Computer Vision and Pattern Recognition (323 citations), Computer Networks and Communications (224 citations), Control and Systems Engineering (201 citations) and Artificial Intelligence (242 citations). Jonathan Goh has collaborated with scholars based in Singapore, Saudi Arabia and United Kingdom. Frequent 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. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Therapeutic Advances in Neurological Disorders, Signal Processing, PLoS ONE and IEEE/ACM Transactions on Audio Speech and Language Processing.

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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