D-Index & Metrics Best Publications

Hector Garcia-Molina

Stanford University
United States

Computer Science

USA

2023

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 Citations Publications World Ranking National Ranking

Computer Science D-index 140 Citations 85,110 582 World Ranking 26 National Ranking 17

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in United States Leader Award

1997 - ACM Fellow For outstanding innovations to database system technology, including achievements in storage management, distributed databases, transaction management and digital libraries.

Overview

What is he best known for?

The fields of study Hector Garcia-Molina is best known for:

The Internet
Operating system
Database

In his study, Hector Garcia-Molina carries out multidisciplinary World Wide Web and Web crawler research. He undertakes multidisciplinary studies into Web crawler and World Wide Web in his work. His multidisciplinary approach integrates Database and Information retrieval in his work. In his works, Hector Garcia-Molina performs multidisciplinary study on Information retrieval and Data mining. He conducts interdisciplinary study in the fields of Data mining and Database through his research. His research links Consistency (knowledge bases) with Artificial intelligence. His research on Consistency (knowledge bases) often connects related areas such as Artificial intelligence. In his works, he conducts interdisciplinary research on Distributed computing and Operating system. His study deals with a combination of Operating system and Computer network.

His most cited work include:

None (759 citations)
Efficient crawling through URL ordering (717 citations)
Combating Web Spam with TrustRank (661 citations)

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

Hector Garcia-Molina connects World Wide Web with Database in his study. He connects Database with World Wide Web in his research. Hector Garcia-Molina undertakes multidisciplinary investigations into Information retrieval and Data mining in his work. He performs integrative Data mining and Artificial intelligence research in his work. He integrates Artificial intelligence with Information retrieval in his study. His research is interdisciplinary, bridging the disciplines of Set (abstract data type) and Programming language. The study of Set (abstract data type) is intertwined with the study of Programming language in a number of ways. Hector Garcia-Molina integrates several fields in his works, including Operating system and Distributed computing. He incorporates Computer network and Distributed computing in his research.

Hector Garcia-Molina most often published in these fields:

World Wide Web (39.44%)
Information retrieval (37.32%)
Database (33.80%)

What were the highlights of his more recent work (between 2014-2019)?

Drill (66.67%)
Data mining (66.67%)
World Wide Web (33.33%)

In recent works Hector Garcia-Molina was focusing on the following fields of study:

Combining a variety of fields, including Data mining, Information retrieval and Data science, are what the author presents in his essays. Information retrieval and World Wide Web are two areas of study in which Hector Garcia-Molina engages in interdisciplinary research. His World Wide Web study typically links adjacent topics like Crowdsourcing. Hector Garcia-Molina conducts interdisciplinary study in the fields of Data science and Data mining through his works. His research on Drill often connects related topics like Metallurgy. His work on Drill expands to the thematically related Metallurgy. His Artificial intelligence study frequently draws connections to adjacent fields such as Data exploration. His Visualization research extends to the thematically linked field of Data exploration. His work on Visualization is being expanded to include thematically relevant topics such as Artificial intelligence.

Between 2014 and 2019, his most popular works were:

Challenges in Data Crowdsourcing (89 citations)
Interactive Data Exploration with Smart Drill-Down (14 citations)
Smart drill-down (14 citations)

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

The Eigentrust algorithm for reputation management in P2P networks

Sepandar D. Kamvar;Mario T. Schlosser;Hector Garcia-Molina.
the web conference (2003)

5554 Citations

Database Systems: The Complete Book

Hector Garcia-Molina;Jeffrey D. Ullman;Jennifer Widom.
(2001)

2515 Citations

Similarity flooding: a versatile graph matching algorithm and its application to schema matching

S. Melnik;H. Garcia-Molina;E. Rahm.
international conference on data engineering (2002)

2196 Citations

The TSIMMIS project: Integration of heterogeneous information sources

Sudarshan S. Chawathe;Hector Garcia-Molina;Joachim Hammer;Kelly Ireland.
情報処理学会研究報告データベースシステム（DBS） (1994)

1720 Citations

Combating web spam with trustrank

Zoltán Gyöngyi;Hector Garcia-Molina;Jan Pedersen.
very large data bases (2004)

1547 Citations

Efficient crawling through URL ordering

Junghoo Cho;Hector Garcia-Molina;Lawrence Page.
the web conference (1998)

1537 Citations

Designing a super-peer network

B. Beverly Yang;H. Garcia-Molina.
international conference on data engineering (2003)

1485 Citations

Object exchange across heterogeneous information sources

Y. Papakonstantinou;H. Garcia-Molina;J. Widom.
international conference on data engineering (1995)

1350 Citations

Routing indices for peer-to-peer systems

A. Crespo;H. Garcia-Molina.
international conference on distributed computing systems (2002)

1242 Citations

The TSIMMIS Approach to Mediation: Data Models and Languages

Hector Garcia-Molina;Yannis Papakonstantinou;Dallan Quass;Anand Rajaraman.
next generation information technologies and systems (1997)

1237 Citations

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