2026 Carla E. Brodley: 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	66	2280	2211	1141	1100	152	22614

Carla E. Brodley 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 Carla E. Brodley sits on this spectrum.

32 publications 991+

This scientist: 152 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Carla E. Brodley 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 Carla E. Brodley sits on this spectrum.

30 D-Index 131+

This scientist: 66 D-Index — 84th percentile

84% 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

2020 - Fellow of the American Association for the Advancement of Science (AAAS)
2016 - ACM Fellow For applications of machine learning and for increasing participation of women in computer science.
2014 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to machine learning and its application to science, engineering and medicine, and to increasing the participation of underrepresented groups in computer science.

Overview

Carla E. Brodley is affiliated with Northeastern University in the United States. Their research primarily focuses on computer science and its applications, encompassing areas such as computer science applications, information systems and management, electrical and electronic engineering, gender studies, and communication.

Their work covers diverse topics including teaching and learning programming, radiation effects in electronics, gender and technology in education, social media and politics, scientific computing and data management, distributed and parallel computing systems, and experimental learning in engineering.

Carla E. Brodley has published multiple papers, including:

Broadening Participation in Computing via Ubiquitous Combined Majors (CS+X), 2022, Proceedings of the 53rd ACM Technical Symposium on Computer Science Education
Why universities must resist GPA-based enrollment caps in the face of surging enrollments, 2022, Communications of the ACM
Visualizing Progress in Broadening Participation in Computing: The Value of Context, 2024, Communications of the ACM
ACM 2023: CS + X---Challenges and Opportunities in Developing Interdisciplinary-Computing Curricula, 2024, ACM Inroads
An Analysis of the Math Requirements of 199 CS BS/BA Degrees at 158 U.S. Universities, 2024, Communications of the ACM

Frequent co-authors of Carla E. Brodley include:

Valerie Barr
Manuel A. Pérez-Quiñones
McKenna Quam
Mark Allen Weiss
Benjamin Hescott

Frequent publication venues for their work include Communications of the ACM, arXiv (Cornell University), Proceedings of the 53rd ACM Technical Symposium on Computer Science Education, ACM Inroads, and Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2.

Carla E. Brodley has been recognized with several awards, including:

Fellow of the American Association for the Advancement of Science (AAAS), 2020
ACM Fellow, 2016, for applications of machine learning and for increasing participation of women in computer science
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2014, for significant contributions to machine learning and its application to science, engineering and medicine, and to increasing the participation of underrepresented groups in computer science

Best Publications

Decision tree classification of land cover from remotely sensed data

M.A. Friedl;C.E. Brodley

2130
Citations
Feature Selection for Unsupervised Learning

Jennifer G. Dy;Carla E. Brodley

1299
Citations
Identifying mislabeled training data

Carla E. Brodley;Mark A. Friedl

1096
Citations
Random projection for high dimensional data clustering: a cluster ensemble approach

Xiaoli Zhang Fern;Carla E. Brodley

838
Citations
Temporal sequence learning and data reduction for anomaly detection

Terran Lane;Carla E. Brodley

788
Citations
Solving cluster ensemble problems by bipartite graph partitioning

Xiaoli Zhang Fern;Carla E. Brodley

754
Citations
Multivariate Decision Trees

Carla E. Brodley;Paul E. Utgoff

666
Citations
IP covert timing channels: design and detection

Serdar Cabuk;Carla E. Brodley;Clay Shields

657
Citations
ASSERT: a physician-in-the-loop content-based retrieval system for HRCT image databases

Chi-Ren Shyu;Carla E. Brodley;Avinash C. Kak;Akio Kosaka

594
Citations
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr

Byron C. Wallace;Kevin Small;Carla E. Brodley;Joseph Lau

586
Citations
Maximizing land cover classification accuracies produced by decision trees at continental to global scales

M.A. Friedl;C.E. Brodley;A.H. Strahler

460
Citations
User re-authentication via mouse movements

Maja Pusara;Carla E. Brodley

407
Citations
Semi-automated screening of biomedical citations for systematic reviews

Byron C. Wallace;Byron C. Wallace;Thomas A. Trikalinos;Joseph Lau;Carla E. Brodley

403
Citations
Feature Subset Selection and Order Identification for Unsupervised Learning

Jennifer G. Dy;Carla E. Brodley

360
Citations
Knowledge Discovery and Data Mining

Unknown

352
Citations
Dis-function: Learning distance functions interactively

Eli T. Brown;Jingjing Liu;Carla E. Brodley;Remco Chang

345
Citations
KDD-Cup 2000 organizers' report: peeling the onion

Ron Kohavi;Carla E. Brodley;Brian Frasca;Llew Mason

337
Citations
Multivariate decision trees

Unknown

336
Citations
Identifying and eliminating mislabeled training instances

Carla E. Brodley;Mark A. Friedl

327
Citations
Unsupervised feature selection applied to content-based retrieval of lung images

J.G. Dy;C.E. Brodley;A. Kak;L.S. Broderick

327
Citations
Sequence Matching and Learning in Anomaly Detection for Computer Security

Terran Lane;Carla E. Brodley

294
Citations
Pruning decision trees with misclassification costs

Jeffrey P. Bradford;Clayton Kunz;Ron Kohavi;Clifford Brunk

288
Citations
Proceedings of the Eighteenth International Conference on Machine Learning

Carla E. Brodley;Andrea Pohoreckyj Danyluk

151
Citations
Identifying Mislabeled Training Data

C. E. Brodley;M. A. Friedl

29
Citations

Frequent Co-Authors

Avinash C. Kak Purdue University West Lafayette

Jennifer G. Dy Northeastern University

Byron C. Wallace Northeastern University

Mark A. Friedl Boston University

Thomas A Trikalinos Brown University

Orrin Devinsky New York University

Tanuja Chitnis Harvard University

T. N. Vijaykumar Purdue University West Lafayette

Thomas Thesen New York University

Xiaoli Z. Fern Oregon State University

External Links

Wikipedia of Carla E. Brodley Personal website of Carla E. Brodley Google Scholar page

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