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Computer Science

D-Index
58
Citations
12664
World Ranking
3649
National Ranking
1744

Overview

Daniel Lokshtanov is affiliated with the University of California, Santa Barbara in the United States. Their research primarily focuses on the domain of computer science, with a strong emphasis on computational theory and mathematics.

Their work spans several subfields of study, including:

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Artificial Intelligence
  • Discrete Mathematics and Combinatorics
  • Computer Graphics and Computer-Aided Design

Key topics in their research cover:

  • Advanced Graph Theory Research
  • Complexity and Algorithms in Graphs
  • Optimization and Search Problems
  • Limits and Structures in Graph Theory
  • Computational Geometry and Mesh Generation
  • Graph Labeling and Dimension Problems
  • Interconnection Networks and Systems

Lokshtanov has been published extensively in various academic venues, notably:

  • arXiv (Cornell University)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • ACM Transactions on Algorithms
  • SIAM Journal on Computing
  • ACM Transactions on Computation Theory

Recent papers by the author include:

  • A New Perspective on FO Model Checking of Dense Graph Classes, 2020, ACM Transactions on Computational Logic
  • Syotti: scalable bait design for DNA enrichment, 2022, Bioinformatics
  • Subexponential Parameterized Algorithms for Planar and Apex-Minor-Free Graphs via Low Treewidth Pattern Covering, 2022, SIAM Journal on Computing
  • On the threshold of intractability, 2021, Journal of Computer and System Sciences
  • Polylogarithmic Approximation Algorithms for Weighted-ℱ-deletion Problems, 2020, ACM Transactions on Algorithms

Lokshtanov frequently collaborates with several co-authors, among whom are:

  • Saket Saurabh
  • Meirav Zehavi
  • Fahad Panolan
  • Fedor V. Fomin
  • Jie Xue

Best Publications

  • Parameterized Algorithms

    Marek Cygan;Fedor V. Fomin;Lukasz Kowalik;Daniel Lokshtanov

  • Lower bounds based on the Exponential Time Hypothesis

    Daniel Lokshtanov;Dániel Marx;Saket Saurabh

  • Incompressibility through Colors and IDs

    Michael Dom;Daniel Lokshtanov;Saket Saurabh

  • Kernelization: Theory of Parameterized Preprocessing

    Fedor V. Fomin;Daniel Lokshtanov;Saket Saurabh;Meirav Zehavi

  • On Problems as Hard as CNF-SAT

    Marek Cygan;Holger Dell;Daniel Lokshtanov;Dániel Marx

  • Kernelization Lower Bounds Through Colors and IDs

    Michael Dom;Daniel Lokshtanov;Saket Saurabh

  • Planar F-Deletion: Approximation, Kernelization and Optimal FPT Algorithms

    Fedor V. Fomin;Daniel Lokshtanov;Neeldhara Misra;Saket Saurabh

  • A $c^k n$ 5-Approximation Algorithm for Treewidth

    Hans L. Bodlaender;Pål Grǿnås Drange;Markus S. Dregi;Fedor V. Fomin

  • Bidimensionality and kernels

    Fedor V. Fomin;Daniel Lokshtanov;Saket Saurabh;Dimitrios M. Thilikos

  • Faster Parameterized Algorithms Using Linear Programming

    Daniel Lokshtanov;N. S. Narayanaswamy;Venkatesh Raman;M. S. Ramanujan

  • Efficient Computation of Representative Families with Applications in Parameterized and Exact Algorithms

    Fedor V. Fomin;Daniel Lokshtanov;Fahad Panolan;Saket Saurabh

  • On the complexity of some colorful problems parameterized by treewidth

    Michael R. Fellows;Fedor V. Fomin;Daniel Lokshtanov;Frances Rosamond

  • Graph Layout Problems Parameterized by Vertex Cover

    Michael R. Fellows;Daniel Lokshtanov;Neeldhara Misra;Frances A. Rosamond

  • Meta) Kernelization

    Hans L. Bodlaender;Fedor V. Fomin;Daniel Lokshtanov;Eelko Penninkx

  • Treewidth governs the complexity of target set selection

    Oren Ben-Zwi;Danny Hermelin;Daniel Lokshtanov;Ilan Newman

  • Kernel(s) for problems with no kernel: On out-trees with many leaves

    Daniel Binkele-Raible;Henning Fernau;Fedor V. Fomin;Daniel Lokshtanov

  • Known algorithms on graphs of bounded treewidth are probably optimal

    Daniel Lokshtanov;Dániel Marx;Saket Saurabh

  • On Problems as Hard as CNF-SAT

    Marek Cygan;Holger Dell;Daniel Lokshtanov;D'niel Marx

  • Fast FAST

    Noga Alon;Daniel Lokshtanov;Saket Saurabh

  • Meta) Kernelization

    Hans L. Bodlaender;Fedor V. Fomin;Daniel Lokshtanov;Eelko Penninkx

  • Kernel(s) for Problems with No Kernel: On Out-Trees with Many Leaves

    Henning Fernau;Fedor V. Fomin;Daniel Lokshtanov;Daniel Raible

  • Efficient computation of representative sets with applications in parameterized and exact algorithms

    Fedor V. Fomin;Daniel Lokshtanov;Saket Saurabh

  • Slightly Superexponential Parameterized Problems

    Daniel Lokshtanov;Dániel Marx;Saket Saurabh

Frequent Co-Authors

Saket Saurabh
Saket Saurabh Institute of Mathematical Sciences
Fedor V. Fomin
Fedor V. Fomin University of Bergen
Michał Pilipczuk
Michał Pilipczuk University of Warsaw
Dániel Marx
Dániel Marx Saarland University
Marek Cygan
Marek Cygan University of Warsaw
Venkatesh Raman
Venkatesh Raman Indian Institute of Technology Palakkad
Dimitrios M. Thilikos
Dimitrios M. Thilikos National and Kapodistrian University of Athens
Michael R. Fellows
Michael R. Fellows Lebanese American University
Frances A. Rosamond
Frances A. Rosamond University of Bergen
Hans L. Bodlaender
Hans L. Bodlaender Utrecht University

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