Karl Pfleger

2.8k total citations
7 papers, 166 citations indexed

About

Karl Pfleger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Karl Pfleger has authored 7 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Cognitive Neuroscience. Recurrent topics in Karl Pfleger's work include Natural Language Processing Techniques (3 papers), Neural Networks and Applications (2 papers) and Topic Modeling (2 papers). Karl Pfleger is often cited by papers focused on Natural Language Processing Techniques (3 papers), Neural Networks and Applications (2 papers) and Topic Modeling (2 papers). Karl Pfleger collaborates with scholars based in United States and France. Karl Pfleger's co-authors include Philippe Lalanda, Barbara Hayes‐Roth, Marko Balabanović, George H. John, Duncan Manley, Ron Kohavi, Richard Fikes, Mehran Sahami and Pat Langley and has published in prestigious journals such as IEEE Transactions on Software Engineering, Artificial Intelligence Review and National Conference on Artificial Intelligence.

In The Last Decade

Karl Pfleger

6 papers receiving 138 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karl Pfleger United States	5	117	58	27	23	21	7	166
Victor Vu United States	5	206 1.8×	79 1.4×	56 2.1×	11 0.5×	46 2.2×	7	229
Dag Nyström Sweden	8	106 0.9×	53 0.9×	40 1.5×	13 0.6×	137 6.5×	31	230
Andoni Lombide Carreton Belgium	4	71 0.6×	64 1.1×	18 0.7×	30 1.3×	119 5.7×	11	210
Antony Courtney United States	5	124 1.1×	19 0.3×	95 3.5×	18 0.8×	58 2.8×	5	232
Rich Washington United States	6	108 0.9×	35 0.6×	59 2.2×	24 1.0×	48 2.3×	8	195
Ming Tan United States	6	216 1.8×	69 1.2×	32 1.2×	32 1.4×	20 1.0×	13	241
Pino Persiano Italy	8	83 0.7×	63 1.1×	48 1.8×	37 1.6×	126 6.0×	15	223
Bakh Khoussainov New Zealand	10	87 0.7×	64 1.1×	96 3.6×	37 1.6×	36 1.7×	31	227
Matthew P. Evett United States	7	130 1.1×	74 1.3×	7 0.3×	29 1.3×	75 3.6×	21	211

Countries citing papers authored by Karl Pfleger

Since Specialization

Citations

This map shows the geographic impact of Karl Pfleger'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 Karl Pfleger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Pfleger more than expected).

Fields of papers citing papers by Karl Pfleger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl Pfleger. 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 Karl Pfleger. The network helps show where Karl Pfleger may publish in the future.

Co-authorship network of co-authors of Karl Pfleger

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Pfleger. A scholar is included among the top collaborators of Karl Pfleger 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 Karl Pfleger. Karl Pfleger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Pfleger, Karl. (2004). On-Line Cumulative Learning of Hierarchical Sparse -grams. 28. 100515–100515. 6 indexed citations

2.

Pfleger, Karl. (2004). On-Line Learning of Predictive Compositional Hierarchies by Hebbian Chunking.. National Conference on Artificial Intelligence. 50–53. 2 indexed citations

3.

Kohavi, Ron, et al.. (2002). MLC++: a machine learning library in C++. 740–743. 69 indexed citations

4.

Fikes, Richard & Karl Pfleger. (2002). On-line learning of predictive compositional hierarchies. 11 indexed citations

5.

Pfleger, Karl. (1999). Learning of compositional hierarchies by data-driven chunking. National Conference on Artificial Intelligence. 977.

6.

Langley, Pat, Karl Pfleger, & Mehran Sahami. (1997). Lazy Acquisition of Place Knowledge. Artificial Intelligence Review. 11(1-5). 315–342. 4 indexed citations

7.

Hayes‐Roth, Barbara, et al.. (1995). A domain-specific software architecture for adaptive intelligent systems. IEEE Transactions on Software Engineering. 21(4). 288–301. 74 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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