H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 68 Citations 18,483 439 World Ranking 944 National Ranking 28

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • Artificial intelligence
  • Operating system

His primary areas of investigation include Distributed computing, World Wide Web, Computer network, Scalability and Data mining. His Distributed computing study combines topics in areas such as The Internet and Information system. His World Wide Web research includes themes of Quality of service, Key and Information retrieval.

The study incorporates disciplines such as Plug-in and Overlay network in addition to Computer network. The concepts of his Scalability study are interwoven with issues in Question answering, Privacy policy, Data collection and Data science. The Data mining study combines topics in areas such as Lossy compression, Semantic data model and Data compression, Lossless compression.

His most cited work include:

  • Managing trust in a peer-2-peer information system (879 citations)
  • P-Grid: A Self-Organizing Access Structure for P2P Information Systems (467 citations)
  • P-Grid: a self-organizing structured P2P system (341 citations)

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

His scientific interests lie mostly in World Wide Web, Information retrieval, Distributed computing, Data mining and Database. The Internet, Web service and Semantic Web are the subjects of his World Wide Web studies. His Information retrieval research focuses on Search engine indexing, Relevance, Web search query, Ranking and Database schema.

His research in Distributed computing intersects with topics in Overlay, Overlay network, Scalability and Computer network. The various areas that Karl Aberer examines in his Data mining study include Data modeling and Wireless sensor network.

He most often published in these fields:

  • World Wide Web (19.00%)
  • Information retrieval (17.83%)
  • Distributed computing (17.00%)

What were the highlights of his more recent work (between 2014-2021)?

  • Artificial intelligence (7.33%)
  • Data mining (13.00%)
  • Data science (6.83%)

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

Karl Aberer spends much of his time researching Artificial intelligence, Data mining, Data science, World Wide Web and Internet privacy. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Natural language processing. His Data mining research integrates issues from Data modeling, Variety, Information retrieval and Time series.

His studies in Information retrieval integrate themes in fields like Event, Encoder and Set. Karl Aberer has included themes like Quality, Web application, Scalability and Crowdsourcing in his Data science study. His World Wide Web study integrates concerns from other disciplines, such as Ontology and Credibility.

Between 2014 and 2021, his most popular works were:

  • OpenIoT: Open Source Internet-of-Things in the Cloud (157 citations)
  • Robust Online Time Series Prediction with Recurrent Neural Networks (69 citations)
  • Minimizing Efforts in Validating Crowd Answers (59 citations)

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

  • The Internet
  • Artificial intelligence
  • Operating system

His main research concerns Data science, Data mining, Crowdsourcing, Information retrieval and Artificial intelligence. His research integrates issues of Data modeling, Variety, Heuristic and Time series in his study of Data mining. His studies deal with areas such as Quality, Structure and Ranking as well as Crowdsourcing.

Karl Aberer has researched Information retrieval in several fields, including Event, Set and Information needs. His Artificial intelligence research includes elements of Machine learning and Series. His Scalability study frequently draws parallels with other fields, such as Distributed computing.

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.

Top Publications

Managing trust in a peer-2-peer information system

Karl Aberer;Zoran Despotovic.
conference on information and knowledge management (2001)

1523 Citations

P-Grid: A Self-Organizing Access Structure for P2P Information Systems

Karl Aberer.
cooperative information systems (2001)

739 Citations

P-Grid: a self-organizing structured P2P system

Karl Aberer;Philippe Cudré-Mauroux;Anwitaman Datta;Zoran Despotovic.
international conference on management of data (2003)

584 Citations

CrossFlow: Cross-Organizational Workflow Management in Dynamic Virtual Enterprises

P.W.P.J. Grefen;Karl Aberer;Yigal Hoffner;Heiko Ludwig.
Computer Systems: Science & Engineering (2000)

526 Citations

Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks

K. Aberer;M. Hauswirth;A. Salehi.
mobile data management (2007)

474 Citations

QoS-Based service selection and ranking with trust and reputation management

Le-Hung Vu;Manfred Hauswirth;Karl Aberer.
international conference on move to meaningful internet systems (2005)

407 Citations

A middleware for fast and flexible sensor network deployment

Karl Aberer;Manfred Hauswirth;Ali Salehi.
very large data bases (2006)

404 Citations

Outtweeting the twitterers - predicting information cascades in microblogs

Wojciech Galuba;Karl Aberer;Dipanjan Chakraborty;Zoran Despotovic.
workshop on online social networks (2010)

375 Citations

Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach

Zhixian Yan;Vigneshwaran Subbaraju;Dipanjan Chakraborty;Archan Misra.
international symposium on wearable computers (2012)

324 Citations

GridVine: building internet-scale semantic overlay networks

Karl Aberer;Philippe Cudré-Mauroux;Manfred Hauswirth;Tim Van Pelt.
international semantic web conference (2004)

321 Citations

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

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