World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
11063
World Ranking
3690
National Ranking
1760

Research.com Recognitions

  • 2010 - ACM Fellow For contributions to graph algorithms.

Overview

Philip N. Klein is a researcher affiliated with Brown University in the United States whose work primarily resides within the fields of Computer Science and Engineering. The main focus of their research includes Computational Theory and Mathematics, Artificial Intelligence, and Signal Processing, with specific interests in Advanced Graph Theory Research, Complexity and Algorithms in Graphs, and Data Management and Algorithms.

Their recent scholarly contributions include the following papers:

  • Correlation Clustering and Two-Edge-Connected Augmentation for Planar Graphs (2023), published in Algorithmica
  • On the Computational Tractability of a Geographic Clustering Problem Arising in Redistricting (2021), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Acoustic Indoor Localization Augmentation by Self-Calibration and Machine Learning (2020), published in Sensors
  • On the computational tractability of a geographic clustering problem arising in redistricting (2020), published on arXiv (Cornell University)
  • New Hardness Results for Planar Graph Problems in P and an Algorithm for Sparsest Cut (2020), published on arXiv (Cornell University)

Frequent co-authors who have collaborated extensively with Philip N. Klein include:

  • Vincent Cohen-Addad
  • Dániel Marx
  • Joan Bordoy
  • Dominik Jan Schott
  • Jizhou Xie

Their publications appear notably in venues such as:

  • arXiv (Cornell University)
  • Sensors
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Algorithmica
  • SAE technical papers on CD-ROM/SAE technical paper series

Philip N. Klein's research addresses a range of topics including:

  • Advanced Graph Theory Research
  • Complexity and Algorithms in Graphs
  • Data Management and Algorithms
  • Indoor and Outdoor Localization Technologies
  • Speech and Audio Processing
  • Underwater Vehicles and Communication Systems
  • Advanced Combinatorial Mathematics

In recognition of contributions to the field of graph algorithms, Philip N. Klein was awarded the title of ACM Fellow in 2010.

Best Publications

  • Recognition of shapes by editing their shock graphs

    T.B. Sebastian;P.N. Klein;B.B. Kimia

  • When Trees Collide: An Approximation Algorithm for theGeneralized Steiner Problem on Networks

    Ajit Agrawal;Philip Klein;R. Ravi

  • A randomized linear-time algorithm to find minimum spanning trees

    David R. Karger;Philip N. Klein;Robert E. Tarjan

  • Faster Shortest-Path Algorithms for Planar Graphs

    Monika R Henzinger;Philip Klein;Satish Rao;Sairam Subramanian

  • On aligning curves

    T.B. Sebastian;P.N. Klein;B.B. Kimia

  • A Nearly best-possible approximation algorithm for node-weighted Steiner trees

    Philip Klein;R. Ravi

  • Recognition of Shapes by Editing Shock Graphs

    Thomas B. Sebastian;Philip N. Klein;Benjamin B. Kimia;Providence Ri

  • Computing the Edit-Distance between Unrooted Ordered Trees

    Philip N. Klein

  • Excluded minors, network decomposition, and multicommodity flow

    Philip Klein;Serge A. Plotkin;Satish Rao

  • Finding the closest lattice vector when it's unusually close

    Philip Klein

  • Faster Approximation Algorithms for the Unit Capacity Concurrent Flow Problem with Applications to Routing and Finding Sparse Cuts

    Philip Klein;Serge Plotkin;Clifford Stein;Eva Tardos

  • Rounding Algorithms for a Geometric Embedding of Minimum Multiway Cut

    David R. Karger;Philip Klein;Cliff Stein;Mikkel Thorup

  • Multiple-source shortest paths in planar graphs

    Philip N. Klein

  • Faster shortest-path algorithms for planar graphs

    Philip Klein;Satish Rao;Monika Rauch;Sairam Subramanian

  • An O(n log n) approximation scheme for Steiner tree in planar graphs

    Glencora Borradaile;Philip Klein;Claire Mathieu

  • A polynomial-time approximation scheme for weighted planar graph TSP

    Sanjeev Arora;Michelangelo Grigni;David Karger;Philip Klein

  • An O(n log n) algorithm for maximum st-flow in a directed planar graph

    Glencora Borradaile;Philip Klein

  • Approximation through multicommodity flow

    P. Klein;A. Agrawal;R. Ravi;S. Rao

  • Shock-Based Indexing into Large Shape Databases

    Thomas B. Sebastian;Philip N. Klein;Benjamin B. Kimia

  • A tree-edit-distance algorithm for comparing simple, closed shapes

    Philip Klein;Srikanta Tirthapura;Daniel Sharvit;Ben Kimia

  • A nearly best-possible approximation algorithm for node-weighted Steiner trees.

    Philip N. Klein;R. Ravi

Frequent Co-Authors

R. Ravi
R. Ravi Carnegie Mellon University
Benjamin B. Kimia
Benjamin B. Kimia Brown University
Neal E. Young
Neal E. Young University of California, Riverside
Satish Rao
Satish Rao University of California, Berkeley
Clifford Stein
Clifford Stein Columbia University
Dániel Marx
Dániel Marx Saarland University
Robert E. Tarjan
Robert E. Tarjan Princeton University
Éva Tardos
Éva Tardos Cornell University
Serge Plotkin
Serge Plotkin Stanford University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education options can significantly boost your career in Computer Science. Many students are drawn to the flexibility and affordability of these programs, especially as technology fields continue to evolve rapidly.

For those looking to expand their qualifications beyond a bachelor’s, consider the cheapest mba programs online. These MBAs can complement a technical background with valuable business and management skills. If speed is your priority, online one year masters programs offer a fast track to advanced knowledge, letting you upskill without a long-term time commitment.

If your goal is rapid entry into the workforce, there are online degrees specifically designed to lead to high-paying tech jobs. Specializations like artificial intelligence are especially in demand. Explore the best online masters in artificial intelligence for a competitive edge in this cutting-edge field.

By choosing the right online degree pathway, you can unlock new opportunities and start building a rewarding tech career from anywhere in the world.

Best Scientists Citing Philip N. Klein

Trending Scientists

Recently Published Articles