George H. John

15.5k total citations · 2 hit papers
18 papers, 8.0k citations indexed

About

George H. John is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, George H. John has authored 18 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in George H. John's work include Machine Learning and Data Classification (5 papers), Data Mining Algorithms and Applications (4 papers) and Machine Learning and Algorithms (3 papers). George H. John is often cited by papers focused on Machine Learning and Data Classification (5 papers), Data Mining Algorithms and Applications (4 papers) and Machine Learning and Algorithms (3 papers). George H. John collaborates with scholars based in United States. George H. John's co-authors include Ron Kohavi, Pat Langley, Duncan Manley, Karl Pfleger, Peter Miller, Randy Kerber, Xiao Feng and Kevin Johnson and has published in prestigious journals such as Artificial Intelligence, ACM SIGKDD Explorations Newsletter and IEEE Expert.

In The Last Decade

George H. John

16 papers receiving 7.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Wrappers for feature subset selection

1997 6.2k citations Ron Kohavi, George H. John Artificial Intelligence profile →
Estimating Continuous Distributions in Bayesian Classifiers

2013 1.4k citations George H. John, Pat Langley arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George H. John United States	10	4.2k	2.0k	1.2k	1.2k	732	18	8.0k
Janez Demšar Slovenia	25	6.6k 1.6×	2.3k 1.2×	1.6k 1.3×	1.3k 1.1×	972 1.3×	54	11.4k
Hiroshi Motoda Japan	25	4.4k 1.0×	1.6k 0.8×	2.1k 1.7×	736 0.6×	911 1.2×	145	8.9k
Pat Langley United States	42	6.2k 1.5×	1.6k 0.8×	1.8k 1.4×	992 0.8×	974 1.3×	207	10.7k
David W. Aha United States	31	5.9k 1.4×	1.6k 0.8×	1.9k 1.5×	594 0.5×	835 1.1×	150	9.2k
Chen Ding China	20	3.4k 0.8×	2.4k 1.2×	1.2k 0.9×	1.7k 1.3×	806 1.1×	125	9.0k
Igor Kononenko Slovenia	26	3.7k 0.9×	1.1k 0.6×	904 0.7×	855 0.7×	504 0.7×	117	7.9k
Franco Scarselli Italy	23	4.3k 1.0×	2.1k 1.1×	1.1k 0.9×	733 0.6×	420 0.6×	77	8.4k
Paolo Frasconi Italy	33	4.2k 1.0×	1.6k 0.8×	560 0.4×	1.4k 1.2×	1.1k 1.4×	130	10.0k
Ludmila I. Kuncheva United Kingdom	45	7.5k 1.8×	3.6k 1.8×	1.3k 1.0×	1.1k 0.9×	1.4k 1.9×	128	12.3k

Countries citing papers authored by George H. John

Since Specialization

Citations

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

Fields of papers citing papers by George H. John

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George H. John. 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 George H. John. The network helps show where George H. John may publish in the future.

Co-authorship network of co-authors of George H. John

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

John, George H. & Pat Langley. (2013). Estimating Continuous Distributions in Bayesian Classifiers. arXiv (Cornell University). 338–345. 1360 indexed citations breakdown →

2.

John, George H., et al.. (2010). Evaluation of LED flash performance for camera phones. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7876. 787612–787612.

3.

Feng, Xiao, et al.. (2007). Camera motion and mobile imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6502. 650204–650204. 6 indexed citations

4.

John, George H.. (2007). Geometry-Based Learning Algorithms. 1 indexed citations

5.

John, George H., et al.. (2002). Mortgage data mining. 232–236. 4 indexed citations

6.

John, George H. & Peter Miller. (2002). Building long/short portfolios using rule induction. 134–140. 5 indexed citations

7.

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

8.

John, George H.. (2002). Cascade correlation: derivation of a more numerically stable update rule. 2. 1126–1129. 1 indexed citations

9.

John, George H.. (1999). Behind-the-scenes data mining. ACM SIGKDD Explorations Newsletter. 1(1). 6–8. 16 indexed citations

10.

John, George H., et al.. (1997). SIPping from the data firehose. Knowledge Discovery and Data Mining. 199–202. 8 indexed citations

11.

John, George H.. (1997). Enhancements to the data mining process. 75 indexed citations

12.

Kohavi, Ron & George H. John. (1997). Wrappers for feature subset selection. Artificial Intelligence. 97(1-2). 273–324. 6165 indexed citations breakdown →

13.

John, George H. & Pat Langley. (1996). Static versus dynamic sampling for data mining. Knowledge Discovery and Data Mining. 367–370. 105 indexed citations

14.

John, George H., Peter Miller, & Randy Kerber. (1996). Stock selection using rule induction. IEEE Expert. 11(5). 52–58. 23 indexed citations

15.

John, George H.. (1995). Robust decision trees: removing outliers from databases. Knowledge Discovery and Data Mining. 174–179. 143 indexed citations

16.

John, George H.. (1994). When the best move isn't optimal: Q-learning with exploration. National Conference on Artificial Intelligence. 1464–1464. 17 indexed citations

17.

John, George H.. (1994). Cross-Validated C4.5: Using Error Estimation for Automatic Parameter Selection. 10 indexed citations

18.

John, George H., et al.. (1976). An investigation of solid ink density variation as determined by the acceptability of overprints in process color printing.

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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