H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 82 Citations 70,157 199 World Ranking 388 National Ranking 231

Research.com Recognitions

Awards & Achievements

2014 - IEEE Fellow For contributions to robust scalable sparse solvers and energy-efficient parallel scientific computing

2008 - Member of the National Academy of Engineering For significant contributions to algorithms and the structure of the World Wide Web.

2001 - ACM Fellow For contributions to the theory and practice of randomized algorithms.

Overview

What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Artificial intelligence
  • The Internet

The scientist’s investigation covers issues in World Wide Web, Theoretical computer science, Information retrieval, Combinatorics and Graph. The various areas that Prabhakar Raghavan examines in his Theoretical computer science study include Upper and lower bounds, Algorithm, Randomized algorithm, Directed graph and Random graph. His Information retrieval study is mostly concerned with Search engine indexing and Relevance.

His research in Relevance intersects with topics in Document retrieval, Multimedia and Concept search. His study in Combinatorics is interdisciplinary in nature, drawing from both Electrical network, Eigenvalues and eigenvectors and Random walk. His biological study spans a wide range of topics, including Computational complexity theory, Paging, Competitive analysis and Locality of reference.

His most cited work include:

  • Introduction to Information Retrieval (11187 citations)
  • Randomized Algorithms (4384 citations)
  • Graph structure in the Web (2491 citations)

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

His main research concerns Information retrieval, Theoretical computer science, World Wide Web, Combinatorics and Algorithm. His works in Human–computer information retrieval, Relevance, Search engine, Document retrieval and Vector space model are all subjects of inquiry into Information retrieval. His Human–computer information retrieval study frequently links to related topics such as Concept search.

His study on Theoretical computer science is mostly dedicated to connecting different topics, such as Graph. His study in Graph extends to World Wide Web with its themes. His Combinatorics research integrates issues from Discrete mathematics and Random walk.

He most often published in these fields:

  • Information retrieval (20.64%)
  • Theoretical computer science (17.44%)
  • World Wide Web (13.88%)

What were the highlights of his more recent work (between 2004-2019)?

  • Information retrieval (20.64%)
  • World Wide Web (13.88%)
  • Theoretical computer science (17.44%)

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

His primary areas of study are Information retrieval, World Wide Web, Theoretical computer science, Data mining and Human–computer information retrieval. Vector space model, Relevance, Search engine, Document retrieval and Search engine indexing are among the areas of Information retrieval where the researcher is concentrating his efforts. His Web modeling, Web page, Web search query and Web analytics study in the realm of World Wide Web interacts with subjects such as Revenue.

His Theoretical computer science research includes elements of Function, Markov chain, Linear algebra and Graph. His studies deal with areas such as Object, Metadata and Cluster analysis as well as Data mining. His Human–computer information retrieval research includes elements of Query expansion, Concept search and Data retrieval.

Between 2004 and 2019, his most popular works were:

  • Introduction to Information Retrieval (11187 citations)
  • Geographic routing in social networks (715 citations)
  • On compressing social networks (278 citations)

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

  • Algorithm
  • Artificial intelligence
  • The Internet

Prabhakar Raghavan spends much of his time researching Information retrieval, Theoretical computer science, Data mining, Search engine and PageRank. His study in the field of Relevance, Human–computer information retrieval, Concept search and Search engine indexing is also linked to topics like tf–idf. His Relevance research incorporates themes from Document retrieval and Multimedia.

Prabhakar Raghavan undertakes multidisciplinary studies into Search engine indexing and Information science in his work. The study incorporates disciplines such as Probabilistic latent semantic analysis, Markov chain, Reciprocity and Complex network in addition to Theoretical computer science. His study in Data mining is interdisciplinary in nature, drawing from both Cover, Object, Object store and Metadata repository.

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

Introduction to Information Retrieval

Christopher D. Manning;Prabhakar Raghavan;Hinrich Schütze.
(2005)

19238 Citations

Randomized Algorithms

Rajeev Motwani;Prabhakar Raghavan.
(1995)

8450 Citations

Graph structure in the Web

Andrei Broder;Ravi Kumar;Farzin Maghoul;Prabhakar Raghavan.
the web conference (2000)

4286 Citations

Automatic subspace clustering of high dimensional data for data mining applications

Rakesh Agrawal;Johannes Gehrke;Dimitrios Gunopulos;Prabhakar Raghavan.
international conference on management of data (1998)

3827 Citations

Propagation of trust and distrust

R. Guha;Ravi Kumar;Prabhakar Raghavan;Andrew Tomkins.
the web conference (2004)

1851 Citations

Trawling the Web for emerging cyber-communities

Ravi Kumar;Prabhakar Raghavan;Sridhar Rajagopalan;Andrew Tomkins.
the web conference (1999)

1516 Citations

Latent semantic indexing: a probabilistic analysis

Christos H. Papadimitriou;Hisao Tamaki;Prabhakar Raghavan;Santosh Vempala.
symposium on principles of database systems (1998)

1480 Citations

The web as a graph: measurements, models, and methods

Jon M. Kleinberg;Ravi Kumar;Prabhakar Raghavan;Sridhar Rajagopalan.
computing and combinatorics conference (1999)

1379 Citations

Inferring Web communities from link topology

David Gibson;Jon Kleinberg;Prabhakar Raghavan.
acm conference on hypertext (1998)

1241 Citations

Automatic resource compilation by analyzing hyperlink structure and associated text

Soumen Chakrabarti;Byron Dom;Prabhakar Raghavan;Sridhar Rajagopalan.
the web conference (1998)

1114 Citations

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Christos Faloutsos

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Jure Leskovec

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Paul G. Spirakis

University of Liverpool

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Huan Liu

Arizona State University

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Aravind Srinivasan

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David Lo

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Stefano Leonardi

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Andrzej Pelc

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