2026 Craig A. Knoblock: 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	81	1038	1005	553	532	396	22767

Craig A. Knoblock 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 Craig A. Knoblock sits on this spectrum.

32 publications 991+

This scientist: 396 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Craig A. Knoblock 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 Craig A. Knoblock sits on this spectrum.

30 D-Index 131+

This scientist: 81 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

2021 - IEEE Fellow For contributions to semantic data integration techniques
2017 - ACM Fellow For contributions to artificial intelligence, semantic web, and semantic data integration
2014 - AAAI Robert S. Engelmore Memorial Lecture Award For seminal contributions to machine learning and information integration, high-impact deployed applications and open-source projects, and extensive service to AAAI and international AI
2008 - ACM Distinguished Member
2004 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to planning and information integration and the application of AI methods to complex domains.

Overview

Craig A. Knoblock is affiliated with the University of Southern California in the United States. Their research spans several fields with a primary focus on Computer Science, followed by Environmental Science and Social Sciences. Within these fields, they have contributed extensively to subfields such as Artificial Intelligence, Geography, Planning and Development, Computer Vision and Pattern Recognition, Global and Planetary Change, and Signal Processing.

Their scholarly output includes numerous papers published in various venues, with notable papers including the following:

Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making (2021), published in ACM Transactions on Interactive Intelligent Systems
Towards the automated large-scale reconstruction of past road networks from historical maps (2022), published in Computers Environment and Urban Systems
Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents (2021), published in Remote Sensing
Building spatio-temporal knowledge graphs from vectorized topographic historical maps (2022), published in Semantic Web
Combining Remote Sensing Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents (2021), published in Preprints.org

Frequent coauthors include:

Yao-Yi Chiang
Johannes Uhl
Stefan Leyk
Basel Shbita
Weiwei Duan

Craig A. Knoblock's work has been frequently published in venues such as arXiv (Cornell University), 2021 IEEE International Conference on Big Data (Big Data), ACM Transactions on Interactive Intelligent Systems, Computers Environment and Urban Systems, and Remote Sensing.

The main topics underlying their research include:

Geographic Information Systems Studies
Advanced Image and Video Retrieval Techniques
Semantic Web and Ontologies
Data Management and Algorithms
Automated Road and Building Extraction
Land Use and Ecosystem Services
Impact of Light on Environment and Health

Craig A. Knoblock has received several awards recognizing their contributions, including:

IEEE Fellow (2021) for contributions to semantic data integration techniques
ACM Fellow (2017) for contributions to artificial intelligence, semantic web, and semantic data integration
AAAI Robert S. Engelmore Memorial Lecture Award (2014) for seminal contributions to machine learning and information integration, high-impact deployed applications and open-source projects, and extensive service to AAAI and international AI
ACM Distinguished Member (2008)
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2004) for significant contributions to planning and information integration and the application of AI methods to complex domains

Best Publications

Retrieving and Integrating Data from Multiple Information Sources

Yigal Arens;Chin Y. Chee;Chun-Nan Hsu;Craig A. Knoblock

694
Citations
A Survey of Digital Map Processing Techniques

Yao-Yi Chiang;Stefan Leyk;Craig A. Knoblock

679
Citations
A hierarchical approach to wrapper induction

Ion Muslea;Steve Minton;Craig Knoblock

628
Citations
Hierarchical Wrapper Induction for Semistructured Information Sources

Ion Muslea;Steven Minton;Craig A. Knoblock

574
Citations
Query reformulation for dynamic information integration

Yigal Arens;Craig A. Knoblock;Wei-Min Shen

556
Citations
Automatically generating abstractions for planning

Craig A. Knoblock

489
Citations
Wrapper generation for semi-structured Internet sources

Naveen Ashish;Craig A. Knoblock

473
Citations
Active + Semi-supervised Learning = Robust Multi-View Learning

Ion Muslea;Steven Minton;Craig A. Knoblock

439
Citations
Explanation-based learning: a problem solving perspective

S. Minton;J. G. Carbonell;C. A. Knoblock;D. R. Kuokka

420
Citations
Learning object identification rules for information integration

Sheila Tejada;Craig A. Knoblock;Steven Minton

417
Citations
Learning domain-independent string transformation weights for high accuracy object identification

Sheila Tejada;Craig A. Knoblock;Steven Minton

394
Citations
Query processing in the SIMS information mediator

Yigal Arens;Chun-Nan Hsu;Craig A. Knoblock

366
Citations
Active learning with multiple views

Ion Muslea;Steven Minton;Craig A. Knoblock

357
Citations
PRODIGY: an integrated architecture for planning and learning

Jaime Carbonell;Oren Etzioni;Yolanda Gil;Robert Joseph

357
Citations
Accurately and reliably extracting data from the Web: a machine learning approach

Craig A. Knoblock;Kristina Lerman;Steven Minton;Ion Muslea

337
Citations
Web Services Business Process Execution Language

Unknown

332
Citations
Web Data Mining

Unknown

321
Citations
From Text to Geographic Coordinates: The Current State of Geocoding

Daniel W. Goldberg;John P. Wilson;Craig A. Knoblock

318
Citations
Explanation-based learning: a problem solving perspective

Steven Minton;Jaime G. Carbonell;Craig A. Knoblock;Daniel R. Kuokka

315
Citations
Semi-automatic wrapper generation for Internet information sources

N. Ashish;C.A. Knoblock

313
Citations
Modeling Web sources for information integration

Craig A. Knoblock;Steven Minton;José Luis Ambite;Naveen Ashish

303
Citations
Performing predictive pricing based on historical data

Oren Etzioni;Alexander Yates;Craig A. Knoblock;Rattapoom Tuchinda

282
Citations

Frequent Co-Authors

Steven Minton InferLink Corporation

José Luis Ambite University of Southern California

Pedro Szekely Amazon (United States)

Cyrus Shahabi University of Southern California

Kristina Lerman University of Southern California

Chun-Nan Hsu University of California, San Diego

Yolanda Gil University of Southern California

Qiang Yang Hong Kong University of Science and Technology

Oren Etzioni University of Washington

Jaime G. Carbonell Carnegie Mellon University

External Links

Personal website of Craig A. Knoblock Google Scholar page

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

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a variety of related online degrees and professional pathways. Many students and working professionals choose flexible education options to balance their studies with other responsibilities.

For those looking to start quickly, an associates degree online can provide foundational knowledge in technology and transferable skills in as little as six months. If you're interested in the business side of technology, pursuing a business degree online offers versatile options in fields like information systems, management, or entrepreneurship.

Affordability is a key concern for many students. Fortunately, there are cheap online universities that provide quality bachelor’s degree programs without a heavy financial burden. For those interested in technical and engineering roles, you can also explore an engineering online degree to boost your credentials and open up new career opportunities.

By considering these online pathways, you can align your studies with your career goals and adapt to a changing job market with greater flexibility and affordability.