Monica Chew

1.1k citations
11 papers · 895 · 1 hit paper · h-index 8

Impact in

Papers in

Monica Chew

11 papers receiving 804 citations

Monica Chew's Hit Papers

A framework for detection and measurement of phishing attacks 2007 · 374 citations
3740+6+12Years since publication100200300

Peers

Monica Chew
Comparison fields: 5 of 51
  • Signal Processing 474
  • Information Systems 649
  • Computer Networks and Communications 187
  • Artificial Intelligence 256
  • Human-Computer Interaction 40
Replace Mohammed Abuhamad with:
Mohammed Abuhamad United States
Auri Marcelo Rizzo Vincenzi Brazil
Iosif I. Androulidakis Greece
Amit Kumar Gupta India
Rahmadi Trimananda United States
Sneha Kudugunta United States
Damon Horowitz United States
Daniel F. Lieuwen United States
A.F. Cárdenas United States
Monica Chew relative to Mohammed Abuhamad United States Mohammed Abuhamad's profile →
Citations per field
00.5×10×20×29×
Mohammed Abuhamad · 1×
Citations per year

Countries citing papers authored by Monica Chew

Since Specialization
Citations

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

Fields of papers citing papers by Monica Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Monica Chew, 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 Monica Chew Line = papers co-authored together Monica Chew links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
A framework for detection and measurement of phishing attacks
Hit paper breakdown →
2007374
2 2003140
3 2004134
4 1997117
5
Side effects are not sufficient to authenticate software
200461
6 200238
7 200514
8
(Under)mining Privacy in Social Networks
200914
9 19991
10 20111
11 20241

About Monica Chew

Monica Chew is a scholar working on Information Systems, Signal Processing, Computer Vision and Pattern Recognition, Human-Computer Interaction and Hardware and Architecture, having authored 11 papers that have together received 895 indexed citations. Recurring topics across this work include User Authentication and Security Systems (5 papers), Advanced Malware Detection Techniques (3 papers), Spam and Phishing Detection (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Security and Verification in Computing (1 paper), Physical Unclonable Functions (PUFs) and Hardware Security (1 paper), Misinformation and Its Impacts (1 paper) and Innovative Human-Technology Interaction (1 paper). The work is most often cited by research in Signal Processing (474 citations), Information Systems (649 citations), Computer Networks and Communications (187 citations), Artificial Intelligence (256 citations) and Human-Computer Interaction (40 citations). Monica Chew has collaborated with scholars based in United States and Singapore. Frequent co-authors include Niels Provos, Sujata Garera, J. D. Tygar, Aviel D. Rubin, Henry S. Baird, Umesh Shankar, Michael T. Munley, R.J. Jaszczak, R. Edward Coleman and George W. Sherouse. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Lecture notes in computer science, Annals of the Academy of Medicine Singapore, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and UC Berkeley.

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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