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 35 Citations 5,631 85 World Ranking 5762 National Ranking 2791

Research.com Recognitions

Awards & Achievements

2014 - ACM Senior Member

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Algorithm
  • Machine learning

Krysta M. Svore focuses on Quantum computer, Theoretical computer science, Data mining, Quantum algorithm and Quantum. Her Quantum computer research incorporates themes from Quantum noise, Qubit, Communication channel and Algorithm, Computation. Her Theoretical computer science study combines topics from a wide range of disciplines, such as Quantum sort, Relevance and Feature vector.

Her research in Data mining intersects with topics in Ranking, Learning to rank, Machine learning, Search engine and Artificial intelligence. Krysta M. Svore combines subjects such as Programming language, Quantum entanglement, Macroscopic quantum phenomena and Quantum logic with her study of Quantum algorithm. The study incorporates disciplines such as Restricted Boltzmann machine, Deep learning, Computer engineering and Boltzmann constant in addition to Quantum.

Her most cited work include:

  • Adapting boosting for information retrieval measures (392 citations)
  • Elucidating reaction mechanisms on quantum computers (259 citations)
  • Circuit-centric quantum classifiers (166 citations)

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

Quantum computer, Quantum algorithm, Quantum, Algorithm and Qubit are her primary areas of study. Particularly relevant to Quantum circuit is her body of work in Quantum computer. Her study in Quantum algorithm is interdisciplinary in nature, drawing from both Quantum network, Theoretical computer science and Computer engineering.

Her Theoretical computer science study integrates concerns from other disciplines, such as Quantum sort and Artificial intelligence. Her work in the fields of Quantum, such as Quantum entanglement, intersects with other areas such as Context. The Algorithm study combines topics in areas such as Polynomial, Set and k-nearest neighbors algorithm.

She most often published in these fields:

  • Quantum computer (49.66%)
  • Quantum algorithm (40.27%)
  • Quantum (31.54%)

What were the highlights of her more recent work (between 2017-2021)?

  • Quantum algorithm (40.27%)
  • Quantum computer (49.66%)
  • Quantum (31.54%)

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

Krysta M. Svore mostly deals with Quantum algorithm, Quantum computer, Quantum, Algorithm and Computation. Her Quantum algorithm research includes themes of Discrete mathematics, Matrix, Set, Rank and Arithmetic. Krysta M. Svore studies Quantum programming which is a part of Quantum computer.

The various areas that Krysta M. Svore examines in her Quantum study include Optimization problem, Theoretical computer science and Computer engineering. Krysta M. Svore combines subjects such as Machine learning and Polynomial with her study of Algorithm. Computation is often connected to Qubit in her work.

Between 2017 and 2021, her most popular works were:

  • Circuit-centric quantum classifiers (166 citations)
  • A software methodology for compiling quantum programs (95 citations)
  • Q#: Enabling Scalable Quantum Computing and Development with a High-level DSL (94 citations)

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

  • Artificial intelligence
  • Statistics
  • Algorithm

Her primary scientific interests are in Quantum algorithm, Quantum, Quantum computer, Theoretical computer science and Quantum circuit. Her Quantum algorithm research is multidisciplinary, incorporating perspectives in Programming language, Matrix, State, Rank and Density matrix. Her studies deal with areas such as Language model, Optimization problem and Discrete mathematics as well as Quantum.

Krysta M. Svore studies Quantum gate, a branch of Quantum computer. Her Theoretical computer science study deals with Quantum logic intersecting with Domain-specific language, Quantum programming and Functional programming. Her biological study spans a wide range of topics, including Electronic circuit, Computer engineering and Quantum machine learning.

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

Adapting boosting for information retrieval measures

Qiang Wu;Christopher J. Burges;Krysta M. Svore;Jianfeng Gao.
Information Retrieval (2010)

498 Citations

Elucidating reaction mechanisms on quantum computers

Markus Reiher;Nathan Wiebe;Krysta M. Svore;Dave Wecker.
Proceedings of the National Academy of Sciences of the United States of America (2017)

317 Citations

Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources

Krysta Svore;Lucy Vanderwende;Christopher Burges.
empirical methods in natural language processing (2007)

286 Citations

LIQUi|>: A Software Design Architecture and Domain-Specific Language for Quantum Computing.

Dave Wecker;Krysta M. Svore.
arXiv: Quantum Physics (2014)

220 Citations

One Class Support Vector Machines for Detecting Anomalous Windows Registry Accesses

Katherine Heller;Krysta Svore;Angelos D. Keromytis;Salvatore Stolfo.
Workshop on Data Mining for Computer Security (DMSEC), Melbourne, FL, November 19, 2003 (2003)

210 Citations

Circuit-centric quantum classifiers

Maria Schuld;Alex Bocharov;Krysta M. Svore;Nathan Wiebe;Nathan Wiebe;Nathan Wiebe.
Physical Review A (2020)

192 Citations

A logarithmic-depth quantum carry-lookahead adder

Thomas G. Draper;Samuel A. Kutin;Eric M. Rains;Krysta M. Svore.
Quantum Information & Computation (2006)

191 Citations

Understanding temporal query dynamics

Anagha Kulkarni;Jaime Teevan;Krysta M. Svore;Susan T. Dumais.
web search and data mining (2011)

171 Citations

A layered software architecture for quantum computing design tools

K.M. Svore;A.V. Aho;A.W. Cross;I. Chuang.
IEEE Computer (2006)

147 Citations

Learning to Rank Using an Ensemble of Lambda-Gradient Models

Christopher J. C. Burges;Krysta Marie Svore;Paul N. Bennett;Andrzej Pastusiak.
Proceedings of the Learning to Rank Challenge (2011)

146 Citations

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Best Scientists Citing Krysta M. Svore

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Microsoft (United States)

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Mingsheng Ying

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University of Technology Sydney

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Robert Wille

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Johannes Kepler University of Linz

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Yi Chang

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Jilin University

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Dmitri Maslov

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IBM (United States)

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Jianfeng Gao

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Craig Macdonald

Craig Macdonald

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Raffaele Perego

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Paul N. Bennett

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Barbara M. Terhal

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Austin G. Fowler

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