2026 Norman Sadeh: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	75	1420	1377	738	712	253	22044

Overview

Norman Sadeh is a researcher affiliated with Carnegie Mellon University in the United States. Their work spans multiple fields, with notable contributions in Computer Science and Social Sciences. Within these domains, specific subfields of study include Sociology and Political Science, Artificial Intelligence, Information Systems, Clinical Psychology, and Signal Processing.

The research topics covered by Norman Sadeh reflect a focus on privacy and security, alongside work addressing societal impacts of technology. Main topics include:

Privacy, Security, and Data Protection
Hate Speech and Cyberbullying Detection
Sexuality, Behavior, and Technology
Privacy-Preserving Technologies in Data
Advanced Malware Detection Techniques
Explainable Artificial Intelligence (XAI)
Spam and Phishing Detection

Norman Sadeh's publication record includes numerous papers in diverse venues, highlighting interdisciplinary research interests. Frequent publication venues include:

arXiv (Cornell University)
Proceedings on Privacy Enhancing Technologies
OPAL (Open@LaTrobe) (La Trobe University)
Proceedings of the International AAAI Conference on Web and Social Media
Computing

Recent papers published by Norman Sadeh feature a mix of topics related to social media, privacy, and data protection. Some examples include:

"The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
"Follow My Recommendations: A Personalized Privacy Assistant for Mobile App Permissions" (2020), published in OPAL (Open@LaTrobe) (La Trobe University)
"Expecting the Unexpected: Understanding Mismatched Privacy Expectations Online" (2020), published in OPAL (Open@LaTrobe) (La Trobe University)
"An Empirical Analysis of Data Deletion and Opt-Out Choices on 150 Websites" (2020), published in OPAL (Open@LaTrobe) (La Trobe University)
"Awareness, Adoption, and Misconceptions of Web Privacy Tools" (2021), published in Proceedings on Privacy Enhancing Technologies

Norman Sadeh often collaborates with other researchers. Frequent coauthors include:

Yaxing Yao
Lorrie Faith Cranor
Alessandro Acquisti
Florian Schaub
Shikun Zhang

Best Publications

The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City

Justin Cranshaw;Raz Schwartz;Jason I. Hong;Norman M. Sadeh

1570
Citations
Modeling Supply Chain Dynamics: A Multiagent Approach

Jayashankar M. Swaminathan;Stephen F. Smith;Norman M. Sadeh

1406
Citations
Learning to detect phishing emails

Ian Fette;Norman Sadeh;Anthony Tomasic

934
Citations
Bridging the gap between physical location and online social networks

Justin Cranshaw;Eran Toch;Jason Hong;Aniket Kittur

681
Citations
A framework of energy efficient mobile sensing for automatic user state recognition

Yi Wang;Jialiu Lin;Murali Annavaram;Quinn A. Jacobson

625
Citations
Expectation and purpose: understanding users' mental models of mobile app privacy through crowdsourcing

Jialiu Lin;Shahriyar Amini;Jason I. Hong;Norman Sadeh

614
Citations
Nudges for Privacy and Security: Understanding and Assisting Users’ Choices Online

Alessandro Acquisti;Idris Adjerid;Rebecca Balebako;Laura Brandimarte

571
Citations
M-Commerce: Technologies, Services, and Business Models

Norman M. Sadeh

528
Citations
Why people hate your app: making sense of user feedback in a mobile app store

Bin Fu;Jialiu Lin;Lei Li;Christos Faloutsos

508
Citations
Understanding and capturing people's privacy policies in a mobile social networking application

Norman Sadeh;Jason Hong;Lorrie Cranor;Ian Fette

484
Citations
Your Location has been Shared 5,398 Times!: A Field Study on Mobile App Privacy Nudging

Hazim Almuhimedi;Florian Schaub;Norman Sadeh;Idris Adjerid

481
Citations
A conundrum of permissions: installing applications on an android smartphone

Patrick Gage Kelley;Sunny Consolvo;Lorrie Faith Cranor;Jaeyeon Jung

473
Citations
Privacy as part of the app decision-making process

Patrick Gage Kelley;Lorrie Faith Cranor;Norman Sadeh

421
Citations
Look-ahead techniques for micro-opportunistic job shop scheduling

Norman M. Sadeh

354
Citations
Stress Test Evaluation for Natural Language Inference

Aakanksha Naik;Abhilasha Ravichander;Norman M. Sadeh;Carolyn Penstein Rosé

335
Citations
Distributed constrained heuristic search

K. Sycara;S.F. Roth;N. Sadeh;M.S. Fox

318
Citations
Toward Abstractive Summarization Using Semantic Representations

Fei Liu;Jeffrey Flanigan;Sam Thomson;Norman M. Sadeh

308
Citations
Modeling Users' Mobile App Privacy Preferences: Restoring Usability in a Sea of Permission Settings

Jialiu Lin;Bin Liu;Norman M. Sadeh;Jason I. Hong

300
Citations
Semantic Web Technologies to Reconcile Privacy and Context Awareness

Fabien L. Gandon;Norman M. Sadeh

299
Citations
Variable and value ordering heuristics for the job shop scheduling constraint satisfaction problem

Norman Sadeh;Mark S. Fox

283
Citations
Privacy as Part of the App Decision-Making Process (CMU-CyLab-13-003)

Patrick Gage Kelley;Lorrie Faith Cranor;Norman Sadeh

3
Citations

Frequent Co-Authors

Lorrie Faith Cranor Carnegie Mellon University

Jason Hong Carnegie Mellon University

Patrick Gage Kelley University of New Mexico

Florian Schaub University of Michigan–Ann Arbor

Alessandro Acquisti Carnegie Mellon University

Mark S. Fox University of Toronto

Fabien Gandon French Institute for Research in Computer Science and Automation - INRIA

Katia Sycara Carnegie Mellon University

Onn Shehory Bar-Ilan University

Stephen F. Smith Carnegie Mellon University

External Links

Personal website of Norman Sadeh Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Studying Computer Science in the USA can open doors to a wide range of career paths, often intersecting with other crucial industries. For those interested in law enforcement, combining tech skills with a cheapest online criminal justice degree can lead to emerging roles in cybersecurity and digital forensics.

The finance sector is another major area where computer science expertise is in high demand. Pursuing an accounting degree online cheap allows graduates to blend technical skills with financial analysis, making them valuable assets in the age of digital finance.

For those eager to dive deeper into advanced analytics, enrolling in data science programs can help develop critical skills in machine learning, big data, and artificial intelligence. These abilities are increasingly valuable in tech-driven industries worldwide.

Lastly, rapid advancements in technology have also transformed the construction sector. Pursuing a fast track construction management degree enables individuals to manage complex, technology-enhanced projects from planning to completion.