Frank Klassner

868 total citations
43 papers, 625 citations indexed

About

Frank Klassner is a scholar working on Artificial Intelligence, Computer Science Applications and Signal Processing. According to data from OpenAlex, Frank Klassner has authored 43 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Computer Science Applications and 8 papers in Signal Processing. Recurrent topics in Frank Klassner's work include Teaching and Learning Programming (17 papers), Semantic Web and Ontologies (7 papers) and Robotics and Automated Systems (5 papers). Frank Klassner is often cited by papers focused on Teaching and Learning Programming (17 papers), Semantic Web and Ontologies (7 papers) and Robotics and Automated Systems (5 papers). Frank Klassner collaborates with scholars based in United States, Mexico and India. Frank Klassner's co-authors include Scott D. Anderson, Victor Lesser, Bryan Horling, Anita Raja, S. Hamid Nawab, Myles McNally, Barry Fagin, Michael Goldweber, Thomas Wagner and Clare Bates Congdon and has published in prestigious journals such as Artificial Intelligence, IEEE Robotics & Automation Magazine and AI Magazine.

In The Last Decade

Frank Klassner

40 papers receiving 554 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frank Klassner United States 12 294 163 102 96 85 43 625
Douglas Blank United States 16 348 1.2× 216 1.3× 138 1.4× 102 1.1× 81 1.0× 47 737
Jerry B. Weinberg United States 10 117 0.4× 83 0.5× 61 0.6× 74 0.8× 66 0.8× 38 369
Lisa Meeden United States 15 254 0.9× 321 2.0× 195 1.9× 152 1.6× 59 0.7× 44 754
Gerald Steinbauer Austria 16 440 1.5× 275 1.7× 199 2.0× 91 0.9× 134 1.6× 90 1.1k
Zachary Dodds United States 14 282 1.0× 52 0.3× 60 0.6× 53 0.6× 44 0.5× 59 560
Jianwen Sun China 17 219 0.7× 366 2.2× 35 0.3× 24 0.3× 143 1.7× 72 777
Francisco Bellas Spain 15 76 0.3× 326 2.0× 84 0.8× 92 1.0× 148 1.7× 86 665
Jay Summet United States 13 168 0.6× 41 0.3× 52 0.5× 29 0.3× 62 0.7× 24 556
Kathryn Merrick Australia 16 54 0.2× 408 2.5× 98 1.0× 61 0.6× 68 0.8× 60 810
Thomas G. Moher United States 19 80 0.3× 214 1.3× 44 0.4× 42 0.4× 211 2.5× 40 999

Countries citing papers authored by Frank Klassner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Frank Klassner

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Klassner. A scholar is included among the top collaborators of Frank Klassner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank Klassner. Frank Klassner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Klassner, Frank & Andrew A. Grace. (2023). Campus Visualization Centers: Reflecting and Projecting. 1 indexed citations
2.
Klassner, Frank, et al.. (2015). Mobile App Development: A Cross-Discipline Team-Based Approach to Student and Faculty Learning. Papers on Engineering Education Repository (American Society for Engineering Education). 6(2). 69–82. 1 indexed citations
3.
Klassner, Frank, et al.. (2012). Genetic Algorithms with Lego Mindstorms and Matlab.. The Florida AI Research Society. 4 indexed citations
4.
Klassner, Frank, et al.. (2010). Beyond First Impressions and Fine Farewells: Electronic Tangibles Throughout the Curriculum - Panel Discussion.. National Conference on Artificial Intelligence.
5.
McNally, Myles & Frank Klassner. (2007). Demonstrating the Capabilities of MindStorms NXT for the AI Curriculum. National Conference on Artificial Intelligence. 103–104. 9 indexed citations
6.
McNally, Myles, et al.. (2007). Exploiting MindStorms NXT: Mapping and Localization Projects for the AI Course.. The Florida AI Research Society. 315–320. 2 indexed citations
7.
Klassner, Frank. (2006). Launching into AI's October Sky with robotics and lisp. AI Magazine. 27(1). 51–66. 4 indexed citations
8.
Klassner, Frank. (2006). Launching into AI's October Sky with robotics and lisp. National Conference on Artificial Intelligence. 27(1). 51–65. 3 indexed citations
9.
Klassner, Frank. (2002). Using Lego mindstorms across the computer science curriculum. Journal of computing sciences in colleges. 18(1). 116–116. 1 indexed citations
10.
Lesser, Victor, et al.. (2000). BIG: An agent for resource-bounded information gathering and decision making. Artificial Intelligence. 118(1-2). 197–244. 49 indexed citations
11.
Lesser, Victor, Bryan Horling, Frank Klassner, & Anita Raja. (1999). BIG: A Resource-Bounded Information Gathering and Decision Support Agent. 1 indexed citations
12.
Klassner, Frank, et al.. (1998). The role of data reprocessing in complex acoustic environments. National Conference on Artificial Intelligence. 997–1003. 1 indexed citations
13.
Lesser, Victor, Bryan Horling, Frank Klassner, & Anita Raja. (1998). BIG: a resource-bounded information gathering agent. National Conference on Artificial Intelligence. 539–546. 28 indexed citations
14.
Klassner, Frank, Victor Lesser, & S. Hamid Nawab. (1998). The IPUS blackboard architecture as a framework for computational auditory scene analysis. 105–114. 10 indexed citations
15.
Klassner, Frank, et al.. (1997). Combining approximate front end signal processing with selective reprocessing in auditory perception. National Conference on Artificial Intelligence. 661–666. 2 indexed citations
16.
Klassner, Frank. (1996). Artificial intelligence: introduction. XRDS Crossroads The ACM Magazine for Students. 3(1). 2–2. 10 indexed citations
17.
Klassner, Frank & Victor Lesser. (1996). Data reprocessing in signal understanding systems. Scholarworks (University of Massachusetts Amherst). 16 indexed citations
18.
Lesser, Victor, S. Hamid Nawab, & Frank Klassner. (1995). IPUS: an architecture for the integrated processing and understanding of signals. Artificial Intelligence. 77(1). 129–171. 44 indexed citations
19.
Lesser, Victor, et al.. (1993). IPUS: an architecture for integrated signal processing and signal interpretation in complex environments. National Conference on Artificial Intelligence. 249–255. 17 indexed citations
20.
Lesser, Victor, et al.. (1991). Integrated Signal Processing and Signal Understanding. 61(6). 523–31; quiz 532. 6 indexed citations

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.

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