D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 30 Citations 7,772 162 World Ranking 8729 National Ranking 80

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • Artificial intelligence
  • World Wide Web

Ponnurangam Kumaraguru mainly investigates Internet privacy, World Wide Web, Phishing, Social media and Computer security. Internet privacy connects with themes related to The Internet in his study. His World Wide Web research is multidisciplinary, incorporating perspectives in Identity and Information retrieval.

His work on Spoofed URL as part of general Phishing study is frequently linked to Training system, Training and Learning sciences, therefore connecting diverse disciplines of science. His work in the fields of Social media, such as Digital footprint, overlaps with other areas such as Emergency management, User information and User identifier. His work in the fields of Computer security, such as Personally identifiable information, intersects with other areas such as Training, Email authentication and Internet security.

His most cited work include:

  • Who falls for phish?: a demographic analysis of phishing susceptibility and effectiveness of interventions (375 citations)
  • Faking Sandy: characterizing and identifying fake images on Twitter during Hurricane Sandy (356 citations)
  • Anti-Phishing Phil: the design and evaluation of a game that teaches people not to fall for phish (345 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Internet privacy, Social media, World Wide Web, Artificial intelligence and Social network. His Internet privacy research is multidisciplinary, incorporating elements of Phishing, The Internet, Focus and Personally identifiable information. His Phishing research includes themes of Computer security and Landing page.

His research integrates issues of Context, Popularity, Advertising and Media studies in his study of Social media. In his work, CAPTCHA is strongly intertwined with Usability, which is a subfield of World Wide Web. His Social network study integrates concerns from other disciplines, such as Credibility and Information retrieval.

He most often published in these fields:

  • Internet privacy (31.25%)
  • Social media (30.08%)
  • World Wide Web (26.95%)

What were the highlights of his more recent work (between 2019-2021)?

  • Social media (30.08%)
  • Artificial intelligence (14.84%)
  • Internet privacy (31.25%)

In recent papers he was focusing on the following fields of study:

Social media, Artificial intelligence, Internet privacy, Natural language processing and Media studies are his primary areas of study. The Social media study combines topics in areas such as Context, Task and Offensive. His biological study deals with issues like Semantic similarity, which deal with fields such as World Wide Web.

His Artificial intelligence study which covers Machine learning that intersects with Personally identifiable information and Synthetic data. His biological study spans a wide range of topics, including E-commerce, Regret and Behavior change. He interconnects Popularity, Narrative, Scale and Social network in the investigation of issues within Media studies.

Between 2019 and 2021, his most popular works were:

  • Automating fake news detection system using multi-level voting model (10 citations)
  • SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract) (9 citations)
  • CovidNLP: A Web Application for Distilling Systemic Implications of COVID-19 Pandemic with Natural Language Processing (6 citations)

In his most recent research, the most cited papers focused on:

  • The Internet
  • Artificial intelligence
  • World Wide Web

Ponnurangam Kumaraguru mainly focuses on Social media, Artificial intelligence, Information retrieval, Natural language processing and Offensive. Ponnurangam Kumaraguru has researched Social media in several fields, including Context, Machine learning and Internet privacy. His Context study combines topics from a wide range of disciplines, such as World Wide Web, Semantic similarity, Categorization and Big data.

His research in Internet privacy intersects with topics in Impression management and Behavior change. He combines subjects such as Logistic regression and Voting with his study of Artificial intelligence. His work focuses on many connections between Information retrieval and other disciplines, such as Fake news, that overlap with his field of interest in Transfer of learning.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Who falls for phish?: a demographic analysis of phishing susceptibility and effectiveness of interventions

Steve Sheng;Mandy Holbrook;Ponnurangam Kumaraguru;Lorrie Faith Cranor.
human factors in computing systems (2010)

566 Citations

Anti-Phishing Phil: the design and evaluation of a game that teaches people not to fall for phish

Steve Sheng;Bryant Magnien;Ponnurangam Kumaraguru;Alessandro Acquisti.
symposium on usable privacy and security (2007)

511 Citations

Faking Sandy: characterizing and identifying fake images on Twitter during Hurricane Sandy

Aditi Gupta;Hemank Lamba;Ponnurangam Kumaraguru;Anupam Joshi.
the web conference (2013)

466 Citations

Credibility ranking of tweets during high impact events

Aditi Gupta;Ponnurangam Kumaraguru.
Proceedings of the 1st Workshop on Privacy and Security in Online Social Media (2012)

400 Citations

Privacy Indexes: A Survey of Westin's Studies

Ponnurangam Kumaraguru;Lorrie Faith. Cranor.
(2005)

380 Citations

Protecting people from phishing: the design and evaluation of an embedded training email system

Ponnurangam Kumaraguru;Yong Rhee;Alessandro Acquisti;Lorrie Faith Cranor.
human factors in computing systems (2007)

350 Citations

Teaching Johnny not to fall for phish

Ponnurangam Kumaraguru;Steve Sheng;Alessandro Acquisti;Lorrie Faith Cranor.
ACM Transactions on Internet Technology (2010)

349 Citations

School of phish: a real-world evaluation of anti-phishing training

Ponnurangam Kumaraguru;Justin Cranshaw;Alessandro Acquisti;Lorrie Cranor.
symposium on usable privacy and security (2009)

297 Citations

Studying User Footprints in Different Online Social Networks

A. Malhotra;L. Totti;W. Meira;P. Kumaraguru.
advances in social networks analysis and mining (2012)

241 Citations

TweetCred: Real-Time Credibility Assessment of Content on Twitter

Aditi Gupta;Ponnurangam Kumaraguru;Carlos Castillo;Patrick Meier.
social informatics (2014)

235 Citations

Best Scientists Citing Ponnurangam Kumaraguru

Lorrie Faith Cranor

Lorrie Faith Cranor

Carnegie Mellon University

Publications: 26

Huan Liu

Huan Liu

Arizona State University

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Brij B. Gupta

Brij B. Gupta

National Institute of Technology Kurukshetra

Publications: 18

Gianluca Stringhini

Gianluca Stringhini

Boston University

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Jason Hong

Jason Hong

Carnegie Mellon University

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Nitesh Saxena

Nitesh Saxena

University of Alabama at Birmingham

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Preslav Nakov

Preslav Nakov

Qatar Computing Research Institute

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Yan Liu

Yan Liu

University of Southern California

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Emilio Ferrara

Emilio Ferrara

University of Southern California

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Jiebo Luo

Jiebo Luo

University of Rochester

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Virgilio Almeida

Virgilio Almeida

Universidade Federal de Minas Gerais

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H. Raghav Rao

H. Raghav Rao

The University of Texas at San Antonio

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Emiliano De Cristofaro

Emiliano De Cristofaro

University College London

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Fabrício Benevenuto

Fabrício Benevenuto

Universidade Federal de Minas Gerais

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Filippo Menczer

Filippo Menczer

Indiana University

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Steven Furnell

Steven Furnell

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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