Cullen Schaffer

1.5k total citations
10 papers, 767 citations indexed

About

Cullen Schaffer is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Cullen Schaffer has authored 10 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Cullen Schaffer's work include Imbalanced Data Classification Techniques (4 papers), Machine Learning and Data Classification (4 papers) and Advanced Text Analysis Techniques (3 papers). Cullen Schaffer is often cited by papers focused on Imbalanced Data Classification Techniques (4 papers), Machine Learning and Data Classification (4 papers) and Advanced Text Analysis Techniques (3 papers). Cullen Schaffer collaborates with scholars based in United States. Cullen Schaffer's co-authors include Casimir A. Kulikowski and has published in prestigious journals such as Planta, Machine Learning and National Conference on Artificial Intelligence.

In The Last Decade

Cullen Schaffer

10 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cullen Schaffer United States	7	390	136	81	64	53	10	767
Leonard E. Trigg New Zealand	4	315 0.8×	193 1.4×	67 0.8×	37 0.6×	45 0.8×	5	683
Kevin S. Tickle Australia	11	387 1.0×	176 1.3×	48 0.6×	74 1.2×	55 1.0×	35	874
Nikhil Ketkar United States	8	177 0.5×	64 0.5×	128 1.6×	45 0.7×	47 0.9×	14	626
Xingwang Zhao China	12	393 1.0×	116 0.9×	159 2.0×	77 1.2×	44 0.8×	23	776
George Almpanidis China	9	266 0.7×	134 1.0×	63 0.8×	30 0.5×	33 0.6×	14	607
Robert E. Banfield United States	8	323 0.8×	88 0.6×	104 1.3×	33 0.5×	34 0.6×	12	514
Iñigo Perona Spain	7	501 1.3×	125 0.9×	152 1.9×	38 0.6×	64 1.2×	14	1.0k
Robert J. Marks United States	8	395 1.0×	33 0.2×	101 1.2×	83 1.3×	30 0.6×	11	791
Giovanni Seni United States	6	258 0.7×	58 0.4×	212 2.6×	21 0.3×	51 1.0×	16	681
Dharmender Kumar India	14	269 0.7×	94 0.7×	100 1.2×	27 0.4×	28 0.5×	66	832

Countries citing papers authored by Cullen Schaffer

Since Specialization

Citations

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

Fields of papers citing papers by Cullen Schaffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cullen Schaffer

This figure shows the co-authorship network connecting the top 25 collaborators of Cullen Schaffer. A scholar is included among the top collaborators of Cullen Schaffer 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 Cullen Schaffer. Cullen Schaffer 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:

10 of 10 papers shown

1.

Schaffer, Cullen. (1993). Overfitting Avoidance as Bias. Machine Learning. 10(2). 153–178. 151 indexed citations

2.

Schaffer, Cullen. (1993). Technical Note: Selecting a Classification Method by Cross-Validation. Machine Learning. 13(1). 135–143. 125 indexed citations

3.

Schaffer, Cullen. (1993). Overfitting avoidance as bias. Machine Learning. 10(2). 153–178. 121 indexed citations

4.

Schaffer, Cullen. (1993). Selecting a classification method by cross-validation. Machine Learning. 13(1). 135–143. 318 indexed citations

5.

Schaffer, Cullen. (1993). Bivariate scientific function finding in a sampled, real-data testbed. Machine Learning. 12(1-3). 167–183. 5 indexed citations

6.

Schaffer, Cullen. (1992). Sparse data and the effect of overfitting avoidance in decision tree induction. National Conference on Artificial Intelligence. 147–152. 20 indexed citations

7.

Schaffer, Cullen. (1991). On Evaluation of Domain-Independent Scientific Function-Finding Systems.. 93–106. 1 indexed citations

8.

Schaffer, Cullen. (1990). A proven domain-independent scientific function-finding algorithm. National Conference on Artificial Intelligence. 828–833. 9 indexed citations

9.

Schaffer, Cullen & Casimir A. Kulikowski. (1990). Domain-independent scientific function finding. Planta. 253(5). 93–93. 3 indexed citations

10.

Schaffer, Cullen. (1988). Principles of computer science. Medical Entomology and Zoology. 14 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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