Christopher Geib
Impact in
- Artificial Intelligence top 2%
- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
- Reinforcement Learning in Robotics
- Artificial Intelligence in Games
-
- Human Pose and Action Recognition
- Context-Aware Activity Recognition Systems
Papers in
-
- AI-based Problem Solving and Planning 27
- Logic, Reasoning, and Knowledge 11
- Semantic Web and Ontologies 8
- Multi-Agent Systems and Negotiation 6
- Artificial Intelligence in Games 5
- Reinforcement Learning in Robotics 3
- Bayesian Modeling and Causal Inference 3
-
- Constraint Satisfaction and Optimization 12
- Co-authors
- Robert P. Goldman (11 shared papers)Mark J. Steedman (8 shared papers)Aleš Ude (3 shared papers)Danica Kragić (2 shared papers)Volker Krüger (2 shared papers)Gita Sukthankar (1 shared paper)David V. Pynadath (1 shared paper)Hung Bui (1 shared paper)
- Journals
- Synthesis lectures on artificial intelligence and machine learning (3 papers)AI Magazine (3 papers)Artificial Intelligence (1 paper)Advanced Robotics (1 paper)Robotics and Autonomous Systems (1 paper)
- Partner nations
- United StatesUnited KingdomSlovenia
In The Last Decade
Christopher Geib
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 869
- Computer Vision and Pattern Recognition 441
- Control and Systems Engineering 338
- Human-Computer Interaction 74
- Computer Networks and Communications 271
Countries citing papers authored by Christopher Geib
This map shows the geographic impact of Christopher Geib's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher Geib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Geib more than expected).
Fields of papers citing papers by Christopher Geib
This network shows the impact of papers produced by Christopher Geib. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher Geib. The network helps show where Christopher Geib may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Geib, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 158 | |
| 2 | 2007 | 133 | |
| 3 | 2014 | 128 | |
| 4 | 2011 | 126 | |
| 5 | 2002 | 124 | |
| 6 | 2002 | 52 | |
| 7 | Object Action Complexes as an Interface for Planning and Robot Control | 2006 | 51 |
| 8 | The independent lifestyle assistant™ (I.L.S.A.): AI lessons learned | 2004 | 49 |
| 9 | On natural language processing and plan recognition | 2007 | 45 |
| 10 | The Independent LifeStyle Assistant | 2004 | 42 |
| 11 | Prioritized goal decomposition of Markov decision processes: toward a synthesis of classical and decision theoretic planning | 1997 | 37 |
| 12 | Delaying commitment in plan recognition using combinatory categorial grammars | 2009 | 28 |
| 13 | Problems with Intent Recognition for Elder Care | 2002 | 27 |
| 14 | Probabilistic Plan Recognition for Hostile Agents | 2001 | 27 |
| 15 | SodaJack: An Architecture For Agents That Search For And Manipulate Objects | 1994 | 26 |
| 16 | Assessing the complexity of plan recognition | 2004 | 26 |
| 17 | Recognizing plan/goal abandonment | 2003 | 25 |
| 18 | A new probabilistic plan recognition algorithm based on string rewriting | 2008 | 25 |
| 19 | The Intentional planning system: ItPlanS | 1994 | 24 |
| 20 | Planning for animation | 1996 | 22 |
About Christopher Geib
Christopher Geib is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Automotive Engineering and Geography, Planning and Development, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (27 papers), Constraint Satisfaction and Optimization (12 papers), Logic, Reasoning, and Knowledge (11 papers), Semantic Web and Ontologies (8 papers), Multi-Agent Systems and Negotiation (6 papers), Artificial Intelligence in Games (5 papers), Reinforcement Learning in Robotics (3 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Artificial Intelligence (869 citations), Computer Vision and Pattern Recognition (441 citations), Control and Systems Engineering (338 citations), Human-Computer Interaction (74 citations) and Computer Networks and Communications (271 citations). Christopher Geib has collaborated with scholars based in United States, United Kingdom and Slovenia. Frequent co-authors include Robert P. Goldman, Mark J. Steedman, Aleš Ude, Danica Kragić, Volker Krüger, Gita Sukthankar, David V. Pynadath, Hung Bui, Ronald P. A. Petrick and Norbert Krüger. Their work appears in journals such as Synthesis lectures on artificial intelligence and machine learning, AI Magazine, Artificial Intelligence, Advanced Robotics and Robotics and Autonomous Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.