Frank Klassner
Impact in
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- Teaching and Learning Programming
- Online Learning and Analytics
- Software top 10%
Papers in
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- Teaching and Learning Programming 17
- Online Learning and Analytics 4
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- Semantic Web and Ontologies 7
- Neural Networks and Applications 5
- AI-based Problem Solving and Planning 3
- Co-authors
- Scott D. Anderson (1 shared paper)Victor Lesser (15 shared papers)Anita Raja (7 shared papers)Bryan Horling (7 shared papers)S. Hamid Nawab (3 shared papers)Myles F. McNally (8 shared papers)Barry S. Fagin (3 shared papers)Michael Goldweber (3 shared papers)
- Journals
- Artificial Intelligence (2 papers)IEEE Robotics & Automation Magazine (1 paper)AI Magazine (1 paper)Rose-Hulman Scholar (Rose–Hulman Institute of Technology) (1 paper)National Conference on Artificial Intelligence (7 papers)
- Partner nations
- United StatesMexicoIndia
In The Last Decade
Frank Klassner
39 papers receiving 638 citations
Peers
Comparison fields: 5 of 76
- Computer Science Applications 320
- Software 46
- Media Technology 84
- Architecture 14
- Signal Processing 71
Countries citing papers authored by Frank Klassner
This map shows the geographic impact of Frank Klassner'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 Frank Klassner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Klassner more than expected).
Fields of papers citing papers by Frank Klassner
This network shows the impact of papers produced by Frank Klassner. 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 Frank Klassner. The network helps show where Frank Klassner may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Klassner, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 198 | |
| 2 | 2002 | 85 | |
| 3 | 2000 | 69 | |
| 4 | 1995 | 45 | |
| 5 | BIG: a resource-bounded information gathering agent | 1998 | 37 |
| 6 | 2002 | 32 | |
| 7 | 2006 | 28 | |
| 8 | 2001 | 18 | |
| 9 | IPUS: an architecture for integrated signal processing and signal interpretation in complex environments | 1993 | 17 |
| 10 | Data reprocessing in signal understanding systems | 1996 | 16 |
| 11 | 2007 | 15 | |
| 12 | 2000 | 13 | |
| 13 | The IPUS blackboard architecture as a framework for computational auditory scene analysis | 1998 | 12 |
| 14 | 1996 | 12 | |
| 15 | 2006 | 10 | |
| 16 | Demonstrating the Capabilities of MindStorms NXT for the AI Curriculum | 2007 | 9 |
| 17 | 2004 | 8 | |
| 18 | 2004 | 7 | |
| 19 | 1999 | 7 | |
| 20 | 1999 | 7 |
About Frank Klassner
Frank Klassner is a scholar working on Computer Science Applications, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 42 papers that have together received 708 indexed citations. Recurring topics across this work include Teaching and Learning Programming (17 papers), Semantic Web and Ontologies (7 papers), Robotics and Automated Systems (5 papers), Neural Networks and Applications (5 papers), Data Management and Algorithms (4 papers), Online Learning and Analytics (4 papers), AI-based Problem Solving and Planning (3 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Computer Science Applications (320 citations), Software (46 citations), Media Technology (84 citations), Architecture (14 citations) and Signal Processing (71 citations). Frank Klassner has collaborated with scholars based in United States, Mexico and India. Frequent co-authors include Scott D. Anderson, Victor Lesser, Anita Raja, Bryan Horling, S. Hamid Nawab, Myles F. McNally, Barry S. Fagin, Michael Goldweber, Thomas A. Wagner and Clare Bates Congdon. Their work appears in journals such as Artificial Intelligence, IEEE Robotics & Automation Magazine, AI Magazine, Rose-Hulman Scholar (Rose–Hulman Institute of Technology) and National Conference on Artificial Intelligence.
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.