H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 58 Citations 29,198 124 World Ranking 1729 National Ranking 69

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • Computer network
  • World Wide Web

His primary areas of investigation include World Wide Web, Social network, Internet privacy, The Internet and Popularity. His work on Social media, Viral marketing, Web traffic and Social network graph as part of general World Wide Web research is frequently linked to Location, bridging the gap between disciplines. The Evolving networks research Krishna P. Gummadi does as part of his general Social network study is frequently linked to other disciplines of science, such as Ask price, therefore creating a link between diverse domains of science.

Krishna P. Gummadi combines subjects such as Computer security, Node, Graph and Leverage with his study of Internet privacy. In The Internet, he works on issues like Computer network, which are connected to Distributed database. His Popularity study which covers Social computing that intersects with Social web, Network science and Hierarchical network model.

His most cited work include:

  • Measurement and analysis of online social networks (2613 citations)
  • Measuring User Influence in Twitter: The Million Follower Fallacy (2181 citations)
  • On the evolution of user interaction in Facebook (1197 citations)

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

Krishna P. Gummadi spends much of his time researching World Wide Web, Internet privacy, Social media, Social network and Artificial intelligence. His research on World Wide Web frequently connects to adjacent areas such as Popularity. His Internet privacy research incorporates elements of Computer security, Key and Service.

The concepts of his Social media study are interwoven with issues in Crowds, Advertising and Information retrieval. His research ties Scale and Social network together. Krishna P. Gummadi usually deals with Artificial intelligence and limits it to topics linked to Machine learning and Variety and Classifier.

He most often published in these fields:

  • World Wide Web (22.37%)
  • Internet privacy (21.00%)
  • Social media (20.55%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (11.42%)
  • Machine learning (10.96%)
  • Risk analysis (4.11%)

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

Artificial intelligence, Machine learning, Risk analysis, Social media and Welfare are his primary areas of study. His studies in Artificial intelligence integrate themes in fields like Outcome and Order. His Machine learning research incorporates elements of Classifier, Variety, Computation and Encryption.

His study looks at the intersection of Risk analysis and topics like Customer satisfaction with Focus and Two-sided market. His Social media study also includes

  • News media together with Popularity,
  • Advertising that intertwine with fields like Social conflict. In his work, Voting is strongly intertwined with Internet privacy, which is a subfield of Transparency.

Between 2017 and 2021, his most popular works were:

  • Equity of Attention: Amortizing Individual Fairness in Rankings (131 citations)
  • A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices (78 citations)
  • Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction (74 citations)

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

  • The Internet
  • Computer network
  • Artificial intelligence

His primary areas of study are Social media, Artificial intelligence, Advertising, Targeted advertising and Machine learning. His Social media research is multidisciplinary, relying on both Political spectrum, News media and Internet privacy. Krishna P. Gummadi has researched News media in several fields, including The Internet, Media bias, Scale and Ideology.

His Internet privacy study combines topics from a wide range of disciplines, such as Popularity, Voting, Silent majority and Aggregate. His research in the fields of Feature selection overlaps with other disciplines such as Justice. His Machine learning study combines topics in areas such as Variety, Probabilistic logic and Empirical research.

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

Measurement and analysis of online social networks

Alan Mislove;Massimiliano Marcon;Krishna P. Gummadi;Peter Druschel.
internet measurement conference (2007)

3903 Citations

On the evolution of user interaction in Facebook

Bimal Viswanath;Alan Mislove;Meeyoung Cha;Krishna P. Gummadi.
workshop on online social networks (2009)

1710 Citations

Measurement, modeling, and analysis of a peer-to-peer file-sharing workload

Krishna P. Gummadi;Richard J. Dunn;Stefan Saroiu;Steven D. Gribble.
symposium on operating systems principles (2003)

1290 Citations

A measurement-driven analysis of information propagation in the flickr social network

Meeyoung Cha;Alan Mislove;Krishna P. Gummadi.
the web conference (2009)

1017 Citations

King: estimating latency between arbitrary internet end hosts

Krishna P. Gummadi;Stefan Saroiu;Steven D. Gribble.
acm special interest group on data communication (2002)

946 Citations

You are who you know: inferring user profiles in online social networks

Alan Mislove;Bimal Viswanath;Krishna P. Gummadi;Peter Druschel.
web search and data mining (2010)

916 Citations

Towards trusted cloud computing

Nuno Santos;Krishna P. Gummadi;Rodrigo Rodrigues.
ieee international conference on cloud computing technology and science (2009)

883 Citations

An analysis of internet content delivery systems

Stefan Saroiu;Krishna P. Gummadi;Richard J. Dunn;Steven D. Gribble.
operating systems design and implementation (2002)

866 Citations

The impact of DHT routing geometry on resilience and proximity

K. Gummadi;R. Gummadi;S. Gribble;S. Ratnasamy.
acm special interest group on data communication (2003)

815 Citations

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Best Scientists Citing Krishna P. Gummadi

Fabrício Benevenuto

Fabrício Benevenuto

Universidade Federal de Minas Gerais

Publications: 77

Ben Y. Zhao

Ben Y. Zhao

University of Chicago

Publications: 69

Christos Faloutsos

Christos Faloutsos

Carnegie Mellon University

Publications: 51

Don Towsley

Don Towsley

University of Massachusetts Amherst

Publications: 49

Huan Liu

Huan Liu

Arizona State University

Publications: 41

Ponnurangam Kumaraguru

Ponnurangam Kumaraguru

Indraprastha Institute of Information Technology Delhi

Publications: 38

Jure Leskovec

Jure Leskovec

Stanford University

Publications: 36

Emilio Ferrara

Emilio Ferrara

University of Southern California

Publications: 36

My T. Thai

My T. Thai

University of Florida

Publications: 35

Xiaohong Guan

Xiaohong Guan

Xi'an Jiaotong University

Publications: 35

Christo Wilson

Christo Wilson

Northeastern University

Publications: 35

Kristina Lerman

Kristina Lerman

University of Southern California

Publications: 35

Alan Mislove

Alan Mislove

Northeastern University

Publications: 34

Hai Jin

Hai Jin

Huazhong University of Science and Technology

Publications: 34

Reza Rejaie

Reza Rejaie

University of Oregon

Publications: 32

John C. S. Lui

John C. S. Lui

Chinese University of Hong Kong

Publications: 32

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