William F. Punch

6.1k total citations · 2 hit papers
81 papers, 3.8k citations indexed

About

William F. Punch is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, William F. Punch has authored 81 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 15 papers in Molecular Biology and 11 papers in Information Systems. Recurrent topics in William F. Punch's work include Evolutionary Algorithms and Applications (22 papers), Metaheuristic Optimization Algorithms Research (16 papers) and AI-based Problem Solving and Planning (8 papers). William F. Punch is often cited by papers focused on Evolutionary Algorithms and Applications (22 papers), Metaheuristic Optimization Algorithms Research (16 papers) and AI-based Problem Solving and Planning (8 papers). William F. Punch collaborates with scholars based in United States, Australia and Iran. William F. Punch's co-authors include Anil K. Jain, A. Topchy, Erik D. Goodman, Behrouz Minaei‐Bidgoli, Michael L. Raymer, Leslie A. Kuhn, Gerd Kortemeyer, Deborah A. Kashy, Brian W. Goldman and Richard Enbody and has published in prestigious journals such as Nature, The Journal of Chemical Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

William F. Punch

77 papers receiving 3.5k 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.

Dimensionality reduction using genetic algorithms

2000 618 citations William F. Punch, Erik D. Goodman et al. profile →
Clustering ensembles: models of consensus and weak partitions

2005 448 citations A. Topchy, Anil K. Jain et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William F. Punch United States	27	2.3k	901	505	498	463	81	3.8k
Burr Settles United States	21	5.9k 2.6×	1.3k 1.4×	673 1.3×	875 1.8×	280 0.6×	35	7.9k
Edwin V. Bonilla Australia	20	2.0k 0.9×	854 0.9×	599 1.2×	191 0.4×	304 0.7×	37	4.3k
Carlotta Domeniconi United States	32	2.4k 1.0×	1.4k 1.6×	521 1.0×	666 1.3×	185 0.4×	136	3.7k
Peilin Zhao China	44	3.5k 1.5×	1.9k 2.1×	983 1.9×	731 1.5×	602 1.3×	171	6.6k
David Cohn United States	14	3.0k 1.3×	711 0.8×	522 1.0×	163 0.3×	260 0.6×	25	4.0k
Zhengyan Zhang China	16	2.7k 1.2×	847 0.9×	597 1.2×	528 1.1×	370 0.8×	35	4.9k
Yong Liu China	37	1.7k 0.7×	744 0.8×	1.9k 3.8×	610 1.2×	499 1.1×	225	4.6k
M. Gori Italy	4	2.8k 1.2×	1.3k 1.4×	652 1.3×	533 1.1×	407 0.9×	6	5.3k
Geoffrey J. Gordon United States	34	2.5k 1.1×	1.1k 1.3×	868 1.7×	203 0.4×	346 0.7×	112	4.6k

Countries citing papers authored by William F. Punch

Since Specialization

Citations

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

Fields of papers citing papers by William F. Punch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William F. Punch. 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 William F. Punch. The network helps show where William F. Punch may publish in the future.

Co-authorship network of co-authors of William F. Punch

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

All Works

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20 of 20 papers shown

Punch, William F., et al.. (2012). Lessons learned when building a greenfield high performance computing ecosystem. USENIX Large Installation Systems Administration Conference. 237–246. 3 indexed citations

DeMott, Jared D., Richard Enbody, & William F. Punch. (2012). Systematic bug finding and fault localization enhanced with input data tracking. Computers & Security. 32. 130–157. 7 indexed citations

DeMott, Jared D., Richard Enbody, & William F. Punch. (2011). Towards an automatic exploit pipeline. International Conference for Internet Technology and Secured Transactions. 323–329. 4 indexed citations

Punch, William F., et al.. (2011). Co-evolving data driven models and test data sets with the application to forecast chaotic time series. 14–20. 3 indexed citations

Punch, William F. & Richard Enbody. (2010). Practice of Computing Using Python, The. 78(2014). 105–6. 6 indexed citations

Punch, William F. & Behrouz Minaei‐Bidgoli. (2005). Data mining for a web-based educational system. 17 indexed citations

Minaei‐Bidgoli, Behrouz, A. Topchy, & William F. Punch. (2004). A comparison of resampling methods for clustering ensembles. International Conference on Artificial Intelligence. 939–945. 52 indexed citations

Topchy, A., Anil K. Jain, & William F. Punch. (2004). A Mixture Model for Clustering Ensembles. 379–390. 271 indexed citations

Topchy, A. & William F. Punch. (2001). Faster genetic programming based on local gradient search of numeric leaf values. Genetic and Evolutionary Computation Conference. 155–162. 67 indexed citations

10.

Punch, William F. & William Rand. (2000). GP+Echo+subsumption = improved problem solving. Genetic and Evolutionary Computation Conference. 411–418. 1 indexed citations

11.

Punch, William F., et al.. (1999). An approach to solving combinatorial optimization problems using a population of reinforcement learning agents. Genetic and Evolutionary Computation Conference. 1358–1365. 15 indexed citations

12.

Averill, Ronald C., et al.. (1999). Optimal design of flywheels using an injection island genetic algorithm. Artificial intelligence for engineering design analysis and manufacturing. 13(5). 327–340. 33 indexed citations

13.

Punch, William F., et al.. (1998). Automated Concept Extraction From Plain Text. The Journal of Chemical Physics. 150(10). 104102–104102. 15 indexed citations

14.

Lin, Shyh-Chang, Erik D. Goodman, & William F. Punch. (1997). A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problem.. 481–488. 55 indexed citations

15.

Punch, William F., et al.. (1995). A Standard GA Approach to Native Protein Conformation Prediction. international conference on Genetic algorithms. 574–581. 48 indexed citations

16.

Punch, William F., et al.. (1994). A Tool for Individualizing the Web. 4 indexed citations

17.

Punch, William F., et al.. (1993). Further Research on Feature Selection and Classification Using Genetic Algorithms. international conference on Genetic algorithms. 557–564. 167 indexed citations

18.

Adler, Mark, Edmund H. Durfee, Michael N. Huhns, William F. Punch, & Evangelos Simoudis. (1992). AAAII workshop on cooperation among heterogeneous intelligent agents. AI Magazine. 13(2). 39–42. 2 indexed citations

19.

Chandrasekaran, B. & William F. Punch. (1988). Hierarchical classification: its usefulness for diagnosis and sensor validation. IEEE Journal on Selected Areas in Communications. 6(5). 884–891. 8 indexed citations

20.

Chandrasekaran, Bharath & William F. Punch. (1987). Data validation during diagnosis, a step beyond traditional sensor validation. National Conference on Artificial Intelligence. 778–782. 13 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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