D-Index & Metrics Best Publications
Vanja Josifovski

Vanja Josifovski

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 45 Citations 8,747 152 World Ranking 4584 National Ranking 2302

Research.com Recognitions

Awards & Achievements

2013 - ACM Distinguished Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Database

His primary areas of study are Information retrieval, Data mining, Artificial intelligence, XML and Online advertising. His work in Information retrieval tackles topics such as Contextual advertising which are related to areas like Web page. His work carried out in the field of Data mining brings together such families of science as Matching, Set, Search engine and Cache.

His Artificial intelligence study combines topics in areas such as Scheme, Machine learning and Cold start. His XML research focuses on SQL and how it relates to Database model and In-Memory Processing. The Web search query study combines topics in areas such as Query expansion and Search advertising.

His most cited work include:

  • Scaling distributed machine learning with the parameter server (846 citations)
  • Distributed large-scale natural graph factorization (384 citations)
  • A semantic approach to contextual advertising (305 citations)

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

Vanja Josifovski mainly focuses on Information retrieval, World Wide Web, Data mining, Artificial intelligence and Web search query. His study in Contextual advertising extends to Information retrieval with its themes. His studies deal with areas such as Advertising campaign, Advertising and Target audience as well as World Wide Web.

His Data mining research integrates issues from Search engine, Representation, Set, XML and Search engine indexing. His research in Artificial intelligence intersects with topics in Natural language processing, Machine learning and Pattern recognition. His Web page study integrates concerns from other disciplines, such as Online advertising and Impression.

He most often published in these fields:

  • Information retrieval (49.04%)
  • World Wide Web (23.57%)
  • Data mining (22.93%)

What were the highlights of his more recent work (between 2013-2020)?

  • Information retrieval (49.04%)
  • Artificial intelligence (17.20%)
  • Data mining (22.93%)

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

Vanja Josifovski mostly deals with Information retrieval, Artificial intelligence, Data mining, Machine learning and Cluster. His Information retrieval research is multidisciplinary, incorporating elements of Event and Representation. His Artificial intelligence research focuses on subjects like Pattern recognition, which are linked to Flexibility, Pattern matching and Cluster analysis.

His Information extraction research incorporates elements of CRFS and Web page, World Wide Web, Semantic Web. His study in Scalability is interdisciplinary in nature, drawing from both Consistency model and Distributed computing. He focuses mostly in the field of Distributed computing, narrowing it down to matters related to Latent Dirichlet allocation and, in some cases, Algorithm.

Between 2013 and 2020, his most popular works were:

  • Scaling distributed machine learning with the parameter server (846 citations)
  • Taxonomy discovery for personalized recommendation (50 citations)
  • Scalable K-Means by ranked retrieval (40 citations)

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

  • Artificial intelligence
  • Programming language
  • Database

His main research concerns Information retrieval, Machine learning, Artificial intelligence, Heuristics and Recommender system. His work in the fields of Information retrieval, such as Collaborative filtering, overlaps with other areas such as Subjective video quality. His Machine learning research is multidisciplinary, incorporating perspectives in Latent Dirichlet allocation and Consistency model.

The study incorporates disciplines such as Scalability and Distributed computing in addition to Artificial intelligence. His Heuristics research includes themes of Inverted index, Algorithm, Data point and k-means clustering. Vanja Josifovski regularly ties together related areas like Factor analysis in his Recommender system studies.

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

Scaling distributed machine learning with the parameter server

Mu Li;David G. Andersen;Jun Woo Park;Alexander J. Smola.
operating systems design and implementation (2014)

1511 Citations

Scaling distributed machine learning with the parameter server

Mu Li;David G. Andersen;Jun Woo Park;Alexander J. Smola.
operating systems design and implementation (2014)

1511 Citations

Distributed large-scale natural graph factorization

Amr Ahmed;Nino Shervashidze;Shravan Narayanamurthy;Vanja Josifovski.
the web conference (2013)

580 Citations

Distributed large-scale natural graph factorization

Amr Ahmed;Nino Shervashidze;Shravan Narayanamurthy;Vanja Josifovski.
the web conference (2013)

580 Citations

A semantic approach to contextual advertising

Andrei Broder;Marcus Fontoura;Vanja Josifovski;Lance Riedel.
international acm sigir conference on research and development in information retrieval (2007)

459 Citations

A semantic approach to contextual advertising

Andrei Broder;Marcus Fontoura;Vanja Josifovski;Lance Riedel.
international acm sigir conference on research and development in information retrieval (2007)

459 Citations

Querying markup language data sources using a relational query processor

Martin Breining;Vanja Josifovski;Peter M. Schwarz.
(2007)

276 Citations

Querying markup language data sources using a relational query processor

Martin Breining;Vanja Josifovski;Peter M. Schwarz.
(2007)

276 Citations

Robust classification of rare queries using web knowledge

Andrei Z. Broder;Marcus Fontoura;Evgeniy Gabrilovich;Amruta Joshi.
international acm sigir conference on research and development in information retrieval (2007)

260 Citations

Robust classification of rare queries using web knowledge

Andrei Z. Broder;Marcus Fontoura;Evgeniy Gabrilovich;Amruta Joshi.
international acm sigir conference on research and development in information retrieval (2007)

260 Citations

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