2026 John Krumm: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	72	1657	1607	852	822	223	24165

John Krumm publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where John Krumm sits on this spectrum.

32 publications 991+

This scientist: 223 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

John Krumm D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where John Krumm sits on this spectrum.

30 D-Index 131+

This scientist: 72 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

John Krumm is a researcher affiliated with Microsoft in the United States. Their work spans fields primarily in computer science and social sciences, contributing to various subfields including transportation, signal processing, electrical and electronic engineering, artificial intelligence, and geography, planning and development.

The research topics explored by John Krumm cover a range of areas related to human mobility and data management, focusing on both theoretical and applied aspects. The main themes in their work include:

Human Mobility and Location-Based Analysis
Data Management and Algorithms
Vehicular Ad Hoc Networks (VANETs)
Privacy-Preserving Technologies in Data
Geographic Information Systems Studies
Humor Studies and Applications
Mobile Crowdsensing and Crowdsourcing

John Krumm has contributed to multiple research publications in well-known venues. The prominent venues include:

arXiv (Cornell University)
SIGSPATIAL Special
ACM Transactions on Spatial Algorithms and Systems
2022 23rd IEEE International Conference on Mobile Data Management (MDM)
Zenodo (CERN European Organization for Nuclear Research)

Their recent papers showcase the range of topics and venues where they have published. Notable recent works include:

"Far Out: Predicting Long-Term Human Mobility," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"Crowdphysics: Planned and Opportunistic Crowdsourcing for Physical Tasks," 2021, Proceedings of the International AAAI Conference on Web and Social Media
"Mobility Data Science: Perspectives and Challenges," 2024, ACM Transactions on Spatial Algorithms and Systems
"$DeepMotions$: A Deep Learning System for Path Prediction Using Similar Motions," 2020, IEEE Access
"Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling," 2020, arXiv (Cornell University)

Collaboration is an evident aspect of John Krumm's research, indicated by frequent co-authors across multiple publications. These co-authors include:

Cyrus Shahabi
Andreas Züfle
Gabriel Ghinita
Nabil Hossain
Henry Kautz

The breadth of John Krumm's work reflects intersecting disciplines whereby computational methods are applied to social and spatial phenomena. Their publication record indicates active engagement in advancing understanding in areas related to mobility, spatial data, and crowdsourcing modalities.

Best Publications

Wallflower: principles and practice of background maintenance

K. Toyama;J. Krumm;B. Brumitt;B. Meyers

2701
Citations
EasyLiving: Technologies for Intelligent Environments

Barry Brumitt;Brian Meyers;John Krumm;Amanda Kern

1370
Citations
Hidden Markov map matching through noise and sparseness

Paul Newson;John Krumm

1199
Citations
Multi-camera multi-person tracking for EasyLiving

J. Krumm;S. Harris;B. Meyers;B. Brumitt

1132
Citations
A survey of computational location privacy

John Krumm

918
Citations
Inference attacks on location tracks

John Krumm

845
Citations
Accuracy characterization for metropolitan-scale Wi-Fi localization

Yu-Chung Cheng;Yatin Chawathe;Anthony LaMarca;John Krumm

687
Citations
Predestination: inferring destinations from partial trajectories

John Krumm;Eric Horvitz

666
Citations
Location-aware computing comes of age

M. Hazas;J. Scott;J. Krumm

617
Citations
PreHeat: controlling home heating using occupancy prediction

James Scott;A.J. Bernheim Brush;John Krumm;Brian Meyers

469
Citations
LOCADIO: inferring motion and location from Wi-Fi signal strengths

J. Krumm;E. Horvitz

457
Citations
From GPS traces to a routable road map

Lili Cao;John Krumm

452
Citations
Location based notification services

John C. Krumm;Richard L. Hughes

449
Citations
Ubiquitous Computing Fundamentals

John Krumm

445
Citations
Proximity detection using wireless signal strengths

John C. Krumm;Kenneth P. Hinckley

440
Citations
User-Generated Content

John Krumm;Nigel Davies;Chandra Narayanaswami

432
Citations
Integration of location logs, gps signals, and spatial resources for identifying user activities, goals, and context

John C. Krumm;Eric J. Horvitz;Ramaswamy Hariharan

421
Citations
System and methods for determining the location dynamics of a portable computing device

John C. Krumm;Eric J. Horvitz

364
Citations
Route Prediction from Trip Observations

Jon Froehlich;John Krumm

322
Citations
Object recognition with color cooccurrence histograms

Peng Chang;J. Krumm

296
Citations

Frequent Co-Authors

Eric Horvitz Microsoft (United States)

Ivan Tashev Microsoft (United States)

Michael L. Seltzer Facebook (United States)

Brian R. Meyers Microsoft (United States)

James Scott Microsoft (United States)

A. J. Bernheim Brush Microsoft (United States)

John Platt Google (United States)

Daniel Delling Apple (United States)

Cyrus Shahabi University of Southern California

Ranveer Chandra Microsoft (United States)

External Links

Personal website of John Krumm Google Scholar page

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

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to a variety of related fields and online degree opportunities. Many students consider online programs for their flexibility and affordability. If you are interested in engineering, pursuing the cheapest mechanical engineering degree online could be a practical option, allowing you to combine technical skills with cost savings.

For those fascinated by the principles of physics, an online theoretical physics degree helps deepen your analytical abilities and expand your STEM career prospects without relocating.

Data science is another popular pathway for Computer Science graduates. With the rising demand for analytics professionals, enrolling in a data science degree can equip you with specialized knowledge for roles in industries such as finance, health care, and technology.

Finally, careers in electrical engineering remain in demand. Exploring online electrical engineering career outcomes can help you understand the diverse job prospects available with an engineering background.