H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 31 Citations 8,369 111 World Ranking 7812 National Ranking 454

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • Computer network
  • Operating system

His main research concerns The Internet, Internet privacy, Online advertising, World Wide Web and Mobile device. His The Internet research is multidisciplinary, relying on both Computer security and Network topology. His studies deal with areas such as Click fraud, Contextual advertising and Embarrassment as well as Internet privacy.

His research integrates issues of Scalability, localhost and Click-through rate in his study of Online advertising. His World Wide Web research is multidisciplinary, incorporating elements of Information flow, Popularity and Mass media. His Mobile device study incorporates themes from Telecommunications, Android, Wireless network, Mobile search and User experience design.

His most cited work include:

  • Measuring User Influence in Twitter: The Million Follower Fallacy (2181 citations)
  • Deep Learning in Mobile and Wireless Networking: A Survey (486 citations)
  • Breaking for commercials: characterizing mobile advertising (151 citations)

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

Hamed Haddadi spends much of his time researching Internet privacy, World Wide Web, Computer security, Cloud computing and The Internet. He is interested in Information privacy, which is a field of Internet privacy. World Wide Web is connected with BitTorrent tracker and Tracking in his study.

His Cloud computing research incorporates themes from Information sensitivity, Enhanced Data Rates for GSM Evolution, Direct voice input and Robustness. His research integrates issues of Deep learning and Benchmark in his study of Information sensitivity. Hamed Haddadi focuses mostly in the field of The Internet, narrowing it down to topics relating to Network topology and, in certain cases, Distributed computing.

He most often published in these fields:

  • Internet privacy (17.14%)
  • World Wide Web (14.86%)
  • Computer security (13.14%)

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

  • Inference (9.71%)
  • Service provider (5.71%)
  • Enhanced Data Rates for GSM Evolution (8.00%)

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

Inference, Service provider, Enhanced Data Rates for GSM Evolution, Identification and Cloud computing are his primary areas of study. His research in Inference intersects with topics in User interface, Raw data, User experience design, Human–computer interaction and Feature learning. Hamed Haddadi combines subjects such as Distributed computing, Edge device, Resource, Embedded system and Analytics with his study of Enhanced Data Rates for GSM Evolution.

His Cloud computing research incorporates themes from Private information retrieval, Precision and recall, Information retrieval, Deep learning and Information sensitivity. Hamed Haddadi works mostly in the field of Rendering, limiting it down to topics relating to Computer network and, in certain cases, Mobile device. His work carried out in the field of Software deployment brings together such families of science as Variety, Behavioral analytics, Real-time computing and Traffic analysis.

Between 2019 and 2021, his most popular works were:

  • Deep Private-Feature Extraction (31 citations)
  • A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics (30 citations)
  • DarkneTZ: towards model privacy at the edge using trusted execution environments (14 citations)

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

  • The Internet
  • Operating system
  • Computer network

Hamed Haddadi focuses on Service provider, Artificial intelligence, Inference, Cloud computing and Feature learning. His Service provider study integrates concerns from other disciplines, such as Computer security, Scalability, Network analytics and Flow network. His is involved in several facets of Artificial intelligence study, as is seen by his studies on Deep learning and Activity recognition.

His Inference research incorporates elements of Edge device, State, Contextual image classification, Embedded system and Attack surface. Hamed Haddadi interconnects Exploit, Analytics, Distributed computing and Service in the investigation of issues within Cloud computing. His Analytics research integrates issues from Information sensitivity and Enhanced Data Rates for GSM Evolution.

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

Measuring User Influence in Twitter: The Million Follower Fallacy

Meeyoung Cha;Hamed Haddadi;Fabr´ıcio Benevenuto;Krishna P. Gummadi.
international conference on weblogs and social media (2010)

4138 Citations

Deep Learning in Mobile and Wireless Networking: A Survey

Chaoyun Zhang;Paul Patras;Hamed Haddadi.
IEEE Communications Surveys and Tutorials (2019)

816 Citations

Breaking for commercials: characterizing mobile advertising

Narseo Vallina-Rodriguez;Jay Shah;Alessandro Finamore;Yan Grunenberger.
internet measurement conference (2012)

223 Citations

Network topologies: inference, modeling, and generation

H. Haddadi;M. Rio;G. Iannaccone;A. Moore.
IEEE Communications Surveys and Tutorials (2008)

199 Citations

The World of Connections and Information Flow in Twitter

Meeyoung Cha;F. Benevenuto;H. Haddadi;K. Gummadi.
systems man and cybernetics (2012)

191 Citations

Fighting online click-fraud using bluff ads

Hamed Haddadi.
acm special interest group on data communication (2010)

173 Citations

MobiAd: private and scalable mobile advertising

Hamed Haddadi;Pan Hui;Ian Brown.
mobility in the evolving internet architecture (2010)

127 Citations

Selfish-herd behaviour of sheep under threat

Andrew J. King;Alan M. Wilson;Simon D. Wilshin;John Lowe.
Current Biology (2012)

120 Citations

Information Exposure From Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach

Jingjing Ren;Daniel J. Dubois;David Choffnes;Anna Maria Mandalari.
internet measurement conference (2019)

119 Citations

#FoodPorn: Obesity Patterns in Culinary Interactions

Yelena Mejova;Hamed Haddadi;Anastasios Noulas;Ingmar Weber.
international conference on digital health (2015)

117 Citations

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Best Scientists Citing Hamed Haddadi

Fabrício Benevenuto

Fabrício Benevenuto

Universidade Federal de Minas Gerais

Publications: 36

Jon Crowcroft

Jon Crowcroft

University of Cambridge

Publications: 26

Krishna P. Gummadi

Krishna P. Gummadi

Saarland University

Publications: 24

Andy Crabtree

Andy Crabtree

University of Nottingham

Publications: 22

Richard Mortier

Richard Mortier

University of Cambridge

Publications: 21

Daniele Quercia

Daniele Quercia

Nokia (United States)

Publications: 20

Meeyoung Cha

Meeyoung Cha

Korea Advanced Institute of Science and Technology

Publications: 20

Ee-Peng Lim

Ee-Peng Lim

Singapore Management University

Publications: 18

Ingmar Weber

Ingmar Weber

Qatar Computing Research Institute

Publications: 18

Benjamin Livshits

Benjamin Livshits

Imperial College London

Publications: 15

Pan Hui

Pan Hui

Hong Kong University of Science and Technology

Publications: 14

Christo Wilson

Christo Wilson

Northeastern University

Publications: 14

Marco Fiore

Marco Fiore

Madrid Institute for Advanced Studies

Publications: 13

Jure Leskovec

Jure Leskovec

Stanford University

Publications: 13

Muhammad Imran

Muhammad Imran

University of Cagliari

Publications: 13

Virgilio Almeida

Virgilio Almeida

Universidade Federal de Minas Gerais

Publications: 12

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