2026 Manuela Veloso: 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	87	708	685	374	362	716	38174

Manuela Veloso 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 Manuela Veloso sits on this spectrum.

32 publications 991+

This scientist: 716 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Manuela Veloso 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 Manuela Veloso sits on this spectrum.

30 D-Index 131+

This scientist: 87 D-Index — 95th percentile

95% 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

2016 - ACM Fellow For contributions to the field of artificial intelligence, in particular in planning, learning, multi-agent systems, and robotics.
2011 - IEEE Fellow For contributions to the development of cognition, perception, and action in autonomous robot teams
2010 - Fellow of the American Association for the Advancement of Science (AAAS)
2003 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the development of planning and learning algorithms, and multiagent robot teams for uncertain dynamic environments.

Overview

Manuela Veloso is affiliated with Carnegie Mellon University in the United States. Their primary field of study is Computer Science, with significant work in subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Computer Networks and Communications, and Economics and Econometrics.

The scientist's research covers a range of topics, including:

Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
AI-based Problem Solving and Planning
Explainable Artificial Intelligence (XAI)
Stock Market Forecasting Methods
Adversarial Robustness in Machine Learning
Logic, Reasoning, and Knowledge

Recent publications include:

"Explainable Reinforcement Learning: A Survey and Comparative Review," 2023, ACM Computing Surveys
"Simulation Intelligence: Towards a New Generation of Scientific Methods," 2021, arXiv (Cornell University)
"Mobile Robot Planning to Seek Help with Spatially-Situated Tasks," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"Using the Web to Interactively Learn to Find Objects," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"Artificial intelligence research in finance: discussion and examples," 2021, Oxford Review of Economic Policy

Frequent co-authors include:

Tucker Balch
Daniel Borrajo
Vamsi K. Potluru
Niccolò Dalmasso
Daniele Magazzeni

The scientist often publishes in venues such as:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the International Conference on Automated Planning and Scheduling
Annals of the New York Academy of Sciences
Proceedings of the International Symposium on Combinatorial Search

In addition to journal and conference publications, Manuela Veloso has contributed to book publications, including a title titled "Else Lasker-Schüler e Wyndham Lewis: tópicos interiores e revolução percepcional," published by the Polytechnic Institute of Porto in 2022.

Manuela Veloso has received several awards, including:

ACM Fellow (2016) for contributions to artificial intelligence in planning, learning, multi-agent systems, and robotics
IEEE Fellow (2011) for work in cognition, perception, and action in autonomous robot teams
Fellow of the American Association for the Advancement of Science (AAAS) (2010)
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2003) for contributions to planning and learning algorithms and multiagent robot teams for uncertain dynamic environments

Best Publications

A survey of robot learning from demonstration

Brenna D. Argall;Sonia Chernova;Manuela Veloso;Brett Browning

4066
Citations
Multiagent Systems: A Survey from a Machine Learning Perspective

Peter Stone;Manuela Veloso

1956
Citations
The grand challenges of Science Robotics

Guang Zhong Yang;Jim Bellingham;Pierre E. Dupont;Peer Fischer;Peer Fischer

1187
Citations
SPIRAL: Code Generation for DSP Transforms

M. Puschel;J.M.F. Moura;J.R. Johnson;D. Padua

1077
Citations
Multiagent Learning Using a Variable Learning Rate

Michael H. Bowling;Manuela M. Veloso

1027
Citations
Fast and inexpensive color image segmentation for interactive robots

J. Bruce;T. Balch;M. Veloso

880
Citations
Real-time randomized path planning for robot navigation

James Bruce;Manuela M. Veloso

828
Citations
Layered Learning

Peter Stone;Manuela M. Veloso

677
Citations
Task decomposition, dynamic role assignment, and low-bandwidth communication for real-time strategic teamwork

Peter Stone;Manuela Veloso

653
Citations
Integrating planning and learning: the PRODIGY architecture

Manuela M. Veloso;Jaime G. Carbonell;M. Alicia Pérez;Daniel Borrajo

597
Citations
The RoboCup Synthetic Agent Challenge 97

Hiroaki Kitano;Milind Tambe;Peter Stone;Manuela M. Veloso

566
Citations
Conditional random fields for activity recognition

Douglas L. Vail;Manuela M. Veloso;John D. Lafferty

475
Citations
Sensor resetting localization for poorly modelled mobile robots

S. Lenser;M. Veloso

453
Citations
Rational and convergent learning in stochastic games

Michael Bowling;Manuela Veloso

433
Citations
WiFi localization and navigation for autonomous indoor mobile robots

Joydeep Biswas;Manuela Veloso

433
Citations
Depth camera based indoor mobile robot localization and navigation

Joydeep Biswas;Manuela Veloso

432
Citations
Planning and Learning by Analogical Reasoning

Manuela M. Veloso

430
Citations
Probabilistic policy reuse in a reinforcement learning agent

Fernando Fernández;Manuela Veloso

395
Citations
PRODIGY: an integrated architecture for planning and learning

Jaime Carbonell;Oren Etzioni;Yolanda Gil;Robert Joseph

357
Citations
Derivational Analogy in PRODIGY: Automating Case Acquisition, Storage, and Utilization

Manuela M. Veloso;Jaime G. Carbonell

352
Citations
Reinforcement learning in the robocup-soccer keepaway

Javier García;Fernando Fernández;Manuela Veloso

4
Citations

Frequent Co-Authors

Peter Stone The University of Texas at Austin

Michael Bowling University of Alberta

Reid Simmons Carnegie Mellon University

Minoru Asada Osaka University

Sonia Chernova Georgia Institute of Technology

Hiroaki Kitano Okinawa Institute of Science and Technology

Daniele Nardi Sapienza University of Rome

Tucker Balch Emory University

Gal A. Kaminka Bar-Ilan University

Anind K. Dey University of Washington

External Links

Wikipedia of Manuela Veloso Personal website of Manuela Veloso Google Scholar page

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