H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 55 Citations 10,554 251 World Ranking 2143 National Ranking 1171

Research.com Recognitions

Awards & Achievements

2019 - ACM Fellow For contributions to automated planning and human-aware AI systems and leadership within the field

2017 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Statistics

Subbarao Kambhampati spends much of his time researching Artificial intelligence, Heuristics, Planner, Plan and Mathematical optimization. Subbarao Kambhampati works on Artificial intelligence which deals in particular with Robot. His Heuristics research incorporates elements of Quality, Data mining, Graphplan and Reachability.

His biological study spans a wide range of topics, including Generalized algorithm, Distance measures and Operations research. Subbarao Kambhampati has researched Plan in several fields, including Domain, Domain model, Task, Structure and Set. His work in the fields of Mathematical optimization, such as Heuristic and Integer programming, overlaps with other areas such as Forward chaining.

His most cited work include:

  • Multiresolution path planning for mobile robots (401 citations)
  • What We Instagram: A First Analysis of Instagram Photo Content and User Types (261 citations)
  • A validation-structure-based theory of plan modification and reuse (227 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Artificial intelligence, Plan, Planner, Machine learning and Mathematical optimization. His work carried out in the field of Artificial intelligence brings together such families of science as Domain, Action and Set. Human–computer interaction and Task is closely connected to Robot in his research, which is encompassed under the umbrella topic of Plan.

His Planner research integrates issues from Theoretical computer science, Software engineering and Empirical research. Heuristic, Heuristics and Integer programming are the core of his Mathematical optimization study. His studies examine the connections between Heuristics and genetics, as well as such issues in Graphplan, with regards to Constraint satisfaction problem.

He most often published in these fields:

  • Artificial intelligence (31.61%)
  • Plan (22.54%)
  • Planner (14.51%)

What were the highlights of his more recent work (between 2017-2021)?

  • Task (9.84%)
  • Plan (22.54%)
  • Artificial intelligence (31.61%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Task, Plan, Artificial intelligence, Human–computer interaction and Robot. The Task study combines topics in areas such as Variety, Counterfactual thinking, Cognitive science and Process management. His study in Plan is interdisciplinary in nature, drawing from both Adversarial system, Legibility, Operations research and Domain.

His studies in Artificial intelligence integrate themes in fields like Machine learning and Action. His research investigates the link between Human–computer interaction and topics such as Behavior-based robotics that cross with problems in Interpretability. His Robot research is multidisciplinary, incorporating perspectives in Task analysis and Set.

Between 2017 and 2021, his most popular works were:

  • Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior. (39 citations)
  • Twitter for Sparking a Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social Media (37 citations)
  • Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations (24 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Programming language
  • Statistics

His main research concerns Data science, Set, Cloud computing, Task and Point. His research in Set intersects with topics in Action, Natural language processing, Scripting language, Variety and Internet privacy. His study in Cloud computing is interdisciplinary in nature, drawing from both Computer security, Network security, Scalability and Stackelberg competition.

The various areas that Subbarao Kambhampati examines in his Stackelberg competition study include Artificial neural network, Intrusion detection system, Artificial intelligence and Network interface. The concepts of his Task study are interwoven with issues in Scheme, Robot, Cognitive science and Order. Subbarao Kambhampati combines subjects such as Cognitive psychology and Empirical research with his study of Robot.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

What We Instagram: A First Analysis of Instagram Photo Content and User Types

Yuheng Hu;Lydia Manikonda;Subbarao Kambhampati.
international conference on weblogs and social media (2014)

979 Citations

Multiresolution path planning for mobile robots

S. Kambhampati;L. Davis.
international conference on robotics and automation (1986)

558 Citations

A validation-structure-based theory of plan modification and reuse

Subbarao Kambhampati;James A. Hendler.
Artificial Intelligence (1992)

368 Citations

Sapa: a multi-objective metric temporal planner

Minh B. Do;Subbarao Kambhampati.
Journal of Artificial Intelligence Research (2003)

270 Citations

Planning as refinement search: a unified framework for evaluating design tradeoffs in partial-order planning

Subbarao Kambhampati;Craig A. Knoblock;Qiang Yang.
Artificial Intelligence (1995)

255 Citations

Integration of biological sources: current systems and challenges ahead

Thomas Hernandez;Subbarao Kambhampati.
international conference on management of data (2004)

242 Citations

Planning as constraint satisfaction: solving the planning graph by compiling it into CSP

Minh Binh Do;Subbarao Kambhampati.
Artificial Intelligence (2001)

235 Citations

Reviving partial order planning

XuanLong Nguyen;Subbarao Kambhampati.
international joint conference on artificial intelligence (2001)

235 Citations

Planning and scheduling

Thomas L. Dean;Subbarao Kambhampati.
The Computer Science and Engineering Handbook (1997)

190 Citations

Planning graph heuristics for belief space search

Daniel Bryce;Subbarao Kambhampati;David E. Smith.
Journal of Artificial Intelligence Research (2006)

182 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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