William F. Punch

6.1k citations
81 papers · 3.8k indexed · 2 hit papers · h-index 27
Topics
Evolutionary Algorithms and Applications (22 papers)Metaheuristic Optimization Algorithms Research (16 papers)AI-based Problem Solving and Planning (8 papers)

In The Last Decade

William F. Punch

77 papers receiving 3.5k citations

Hit Papers

Dimensionality reduction using genetic algorithms200020262008201720002005200400600

Peers

William F. Punch
Comparison fields: 5 of 163
  • Artificial Intelligence 2.3k
  • Computer Vision and Pattern Recognition 901
  • Information Systems 505
  • Molecular Biology 498
  • Computational Theory and Mathematics 463
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William F. Punch relative to Burr Settles United States Burr Settles's profile →
Citations per field
00.5×1.7×
Burr Settles · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2
Towards an automatic exploit pipeline
4
3 6
4 148
5
Clustering ensembles: models of consensus and weak partitionsbreakdown →
448
6
A comparison of resampling methods for clustering ensembles
52
7 271
8 79
9
Faster genetic programming based on local gradient search of numeric leaf values
67
10
GP+Echo+subsumption = improved problem solving
1
11
An approach to solving combinatorial optimization problems using a population of reinforcement learning agents
15
12 33
13 15
14
A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problem.
55
15 121
16
A Standard GA Approach to Native Protein Conformation Prediction
48
17
A Tool for Individualizing the Web
4
18
Further Research on Feature Selection and Classification Using Genetic Algorithms
167
19 2
20
Data validation during diagnosis, a step beyond traditional sensor validation
13

About William F. Punch

William F. Punch is a scholar working on Artificial Intelligence, Computer Science Applications and Signal Processing, having authored 81 papers that have together received 3.8k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (22 papers), Metaheuristic Optimization Algorithms Research (16 papers) and AI-based Problem Solving and Planning (8 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Computer Science Applications (363 citations) and Computer Vision and Pattern Recognition (901 citations). William F. Punch has collaborated with scholars based in United States, Australia and Iran. Frequent 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. Their work appears in journals such as Nature, The Journal of Chemical Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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