D-Index & Metrics Best Publications

D-Index & Metrics

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 6,661 98 World Ranking 3623 National Ranking 1874

Overview

What is he best known for?

The fields of study he is best known for:

  • Database
  • Programming language
  • Artificial intelligence

Neoklis Polyzotis mainly focuses on Database, Theoretical computer science, Machine learning, Artificial intelligence and Crowdsourcing. His Database study integrates concerns from other disciplines, such as Collaborative filtering and Big data. His research integrates issues of Path expression, Xml data, XML, Graph and XQuery in his study of Theoretical computer science.

His Machine learning research is multidisciplinary, incorporating perspectives in App store, Algorithm and Set. The concepts of his Artificial intelligence study are interwoven with issues in Software deployment, Index and Bloom filter. His Crowdsourcing research is multidisciplinary, incorporating perspectives in Query language, SQL, Data management and Data model.

His most cited work include:

  • The Case for Learned Index Structures (295 citations)
  • CrowdScreen: algorithms for filtering data with humans (181 citations)
  • SeeDB: efficient data-driven visualization recommendations to support visual analytics (160 citations)

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

His scientific interests lie mostly in Data mining, Artificial intelligence, Machine learning, Theoretical computer science and Database. Neoklis Polyzotis has included themes like XML, Distributed computing and Database administrator in his Data mining study. His research integrates issues of Data validation, Crowdsourcing, Data management and Big data in his study of Artificial intelligence.

His biological study spans a wide range of topics, including Rank, Set, Joins and Query optimization. Neoklis Polyzotis combines subjects such as Variety, Overhead and Heuristics with his study of Set. His Database research integrates issues from World Wide Web and Information retrieval.

He most often published in these fields:

  • Data mining (23.26%)
  • Artificial intelligence (17.83%)
  • Machine learning (17.83%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (17.83%)
  • Machine learning (17.83%)
  • Data management (10.85%)

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

Artificial intelligence, Machine learning, Data management, Production and Data validation are his primary areas of study. His work deals with themes such as Crowdsourcing and Index, which intersect with Artificial intelligence. His work in the fields of Machine learning, such as Cluster analysis, intersects with other areas such as Sorted array.

His Data management research includes themes of End-to-end principle, Computation and Data science. His Data validation research is multidisciplinary, relying on both Data lifecycle, Open research and Training set. In his study, which falls under the umbrella issue of Debugging, Slicing is strongly linked to Data mining.

Between 2015 and 2021, his most popular works were:

  • The Case for Learned Index Structures (295 citations)
  • TFX: A TensorFlow-Based Production-Scale Machine Learning Platform (140 citations)
  • Goods: Organizing Google's Datasets (105 citations)

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

  • Database
  • Programming language
  • Artificial intelligence

Neoklis Polyzotis spends much of his time researching Artificial intelligence, Machine learning, Data validation, Data management and Production. His studies deal with areas such as Orchestration, Software deployment and Scripting language as well as Artificial intelligence. Neoklis Polyzotis interconnects Use case and App store in the investigation of issues within Machine learning.

His Data management research is multidisciplinary, incorporating elements of Bloom filter, Hash table and Index, B-tree. His Production investigation overlaps with Focus, Set, Data preparation, Data lifecycle and Context. His Focus research spans across into subjects like Training set, Open research, Work and Data science.

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 Case for Learned Index Structures

Tim Kraska;Alex Beutel;Ed H. Chi;Jeffrey Dean.
international conference on management of data (2018)

383 Citations

CrowdScreen: algorithms for filtering data with humans

Aditya G. Parameswaran;Hector Garcia-Molina;Hyunjung Park;Neoklis Polyzotis.
international conference on management of data (2012)

263 Citations

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform

Denis Baylor;Eric Breck;Heng-Tze Cheng;Noah Fiedel.
knowledge discovery and data mining (2017)

243 Citations

SeeDB: efficient data-driven visualization recommendations to support visual analytics

Manasi Vartak;Sajjadur Rahman;Samuel Madden;Aditya Parameswaran.
very large data bases (2015)

220 Citations

Statistical synopses for graph-structured XML databases

Neoklis Polyzotis;Minos Garofalakis.
international conference on management of data (2002)

197 Citations

SciHadoop: array-based query processing in Hadoop

Joe B. Buck;Noah Watkins;Jeff LeFevre;Kleoni Ioannidou.
ieee international conference on high performance computing data and analytics (2011)

193 Citations

Approximate XML query answers

Neoklis Polyzotis;Minos Garofalakis;Yannis Ioannidis.
international conference on management of data (2004)

186 Citations

Query Recommendations for Interactive Database Exploration

Gloria Chatzopoulou;Magdalini Eirinaki;Neoklis Polyzotis.
statistical and scientific database management (2009)

183 Citations

Human-assisted graph search: it's okay to ask questions

Aditya Parameswaran;Anish Das Sarma;Hector Garcia-Molina;Neoklis Polyzotis.
very large data bases (2011)

168 Citations

Answering Queries using Humans, Algorithms and Databases

Aditya G. Parameswaran;Neoklis Polyzotis.
conference on innovative data systems research (2011)

167 Citations

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Best Scientists Citing Neoklis Polyzotis

Tim Kraska

Tim Kraska

MIT

Publications: 57

Aditya Parameswaran

Aditya Parameswaran

University of California, Berkeley

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Ioana Manolescu

Ioana Manolescu

French Institute for Research in Computer Science and Automation - INRIA

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Lei Chen

Lei Chen

Hong Kong University of Science and Technology

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Tova Milo

Tova Milo

Tel Aviv University

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Samuel Madden

Samuel Madden

MIT

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Stratos Idreos

Stratos Idreos

Harvard University

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Anastasia Ailamaki

Anastasia Ailamaki

École Polytechnique Fédérale de Lausanne

Publications: 23

Donald Kossmann

Donald Kossmann

Microsoft (United States)

Publications: 21

Hector Garcia-Molina

Hector Garcia-Molina

Stanford University

Publications: 21

Michael J. Franklin

Michael J. Franklin

University of Chicago

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Anand Srinivasan

Anand Srinivasan

Business International Corporation

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Gautam Das

Gautam Das

The University of Texas at Arlington

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Wolfgang Lehner

Wolfgang Lehner

TU Dresden

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Michael Stonebraker

Michael Stonebraker

MIT

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Sihem Amer-Yahia

Sihem Amer-Yahia

Grenoble Alpes University

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