World's Best Scientists 2026 revealed!
Daniel P. Huttenlocher

Daniel P. Huttenlocher

D-Index & Metrics

Computer Science

D-Index
74
Citations
50203
World Ranking
1442
National Ranking
750

Research.com Recognitions

  • 2007 - ACM Fellow For contributions to computer vision.

Overview

Daniel P. Huttenlocher is affiliated with MIT in the United States and has contributed to research primarily in the fields of Medicine and Business, Management and Accounting. Their work spans several interdisciplinary subfields, including Infectious Diseases, Marketing, Management Science and Operations Research, Modeling and Simulation, and Strategy and Management.

The main research topics covered by their publications include Consumer Market Behavior and Pricing, COVID-19 epidemiological studies, SARS-CoV-2 detection and testing, Digital Platforms and Economics, Digital Marketing and Social Media, and Game Theory and Applications.

The scientist's publication record includes recent papers such as:

  • Matching of Users and Creators in Two-Sided Markets with Departures, 2023, arXiv (Cornell University)
  • Optimal adaptive testing for epidemic control: Combining molecular and serology tests, 2023, Automatica
  • Online Business Models, Digital Ads, and User Welfare, 2024, SSRN Electronic Journal
  • Wikipedia Contributions in the Wake of ChatGPT, 2025, arXiv (Cornell University)

Frequent publication venues where their work appears include:

  • arXiv (Cornell University)
  • Automatica
  • SSRN Electronic Journal

Collaborations have been conducted with several co-authors, with the most frequent partnerships being with:

  • Asuman Ozdaglar
  • Daron Acemoğlu
  • James Siderius
  • Hannah Li
  • Alireza Fallah

Daniel P. Huttenlocher has received recognition for their contributions, including the ACM Fellow award in 2007, specifically cited for contributions to computer vision.

Best Publications

  • Efficient Graph-Based Image Segmentation

    Pedro F. Felzenszwalb;Daniel P. Huttenlocher

  • Comparing images using the Hausdorff distance

    D.P. Huttenlocher;G.A. Klanderman;W.J. Rucklidge

  • Efficient Belief Propagation for Early Vision

    Pedro F. Felzenszwalb;Daniel P. Huttenlocher

  • Pictorial Structures for Object Recognition

    Pedro F. Felzenszwalb;Daniel P. Huttenlocher

  • Group formation in large social networks: membership, growth, and evolution

    Lars Backstrom;Dan Huttenlocher;Jon Kleinberg;Xiangyang Lan

  • Autonomous driving in urban environments: Boss and the Urban Challenge

    Chris Urmson;Joshua Anhalt;Drew Bagnell;Christopher Baker

  • Predicting positive and negative links in online social networks

    Jure Leskovec;Daniel Huttenlocher;Jon Kleinberg

  • Signed networks in social media

    Jure Leskovec;Daniel Huttenlocher;Jon Kleinberg

  • Distance Transforms of Sampled Functions

    Pedro F. Felzenszwalb;Daniel P. Huttenlocher

  • Mapping the world's photos

    David J. Crandall;Lars Backstrom;Daniel Huttenlocher;Jon Kleinberg

  • An efficiently computable metric for comparing polygonal shapes

    E.M. Arkin;L.P. Chew;D.P. Huttenlocher;K. Kedem

  • Recognizing solid objects by alignment with an image

    Daniel P. Huttenlocher;Shimon Ullman

  • Feedback effects between similarity and social influence in online communities

    David Crandall;Dan Cosley;Daniel Huttenlocher;Jon Kleinberg

  • Engaging with massive online courses

    Ashton Anderson;Daniel Huttenlocher;Jon Kleinberg;Jure Leskovec

  • Inferring social ties from geographic coincidences

    David J. Crandall;Lars Backstrom;Dan Cosley;Siddharth Suri

  • Location recognition using prioritized feature matching

    Yunpeng Li;Noah Snavely;Daniel P. Huttenlocher

  • Automatic target recognition by matching oriented edge pixels

    C.F. Olson;D.P. Huttenlocher

  • Efficient matching of pictorial structures

    P.F. Felzenszwalb;D.P. Huttenlocher

  • Steering user behavior with badges

    Ashton Anderson;Daniel Huttenlocher;Jon Kleinberg;Jure Leskovec

  • Worldwide pose estimation using 3d point clouds

    Yunpeng Li;Noah Snavely;Dan Huttenlocher;Pascal Fua

Frequent Co-Authors

Jon Kleinberg
Jon Kleinberg Cornell University
Ronald M. Kaplan
Ronald M. Kaplan Stanford University
David J. Crandall
David J. Crandall Indiana University
Jure Leskovec
Jure Leskovec Stanford University
John Seely Brown
John Seely Brown Palo Alto Research Center
Mark Campbell
Mark Campbell Cornell University
Noah Snavely
Noah Snavely Cornell University
Yuri Boykov
Yuri Boykov University of Waterloo

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