Bill P. Buckles

3.0k citations
106 papers · 1.7k indexed · h-index 23
Topics
Data Management and Algorithms (21 papers)Advanced Database Systems and Queries (18 papers)Evolutionary Algorithms and Applications (14 papers)

In The Last Decade

Bill P. Buckles

97 papers receiving 1.5k citations

Peers

Bill P. Buckles
Comparison fields: 5 of 118
  • Artificial Intelligence 836
  • Signal Processing 715
  • Computer Networks and Communications 555
  • Computational Theory and Mathematics 324
  • Information Systems 272
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Citations per field
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Citations per year

Countries citing papers authored by Bill P. Buckles

Since Specialization
Citations

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

Fields of papers citing papers by Bill P. Buckles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bill P. Buckles. 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 Bill P. Buckles. The network helps show where Bill P. Buckles may publish in the future.

Co-authorship network of co-authors of Bill P. Buckles

This figure shows the co-authorship network connecting the top 25 collaborators of Bill P. Buckles. A scholar is included among the top collaborators of Bill P. Buckles 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 Bill P. Buckles. Bill P. Buckles 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 5
2 35
3
Comparison of Two Classification Methods for Feature Extraction From LiDAR Data in Urban Areas.
1
4 3
5 1
6
On the size of the search space of join optimization
0
7 2
8
Sample Complexity of Real-Coded Evolutionary Algorithms.
2
9
Gene Expression Classification: Decision Trees vs. SVMs
9
10
Low Level Fusion of Imagery Based on Dempster-Shafer Theory
0
11
A Fast Evolution Strategies Based Approach To Image Registration
3
12 2
13 4
14 1
15 7
16 2
17
A survey of conceptual and logical data models for uncertainty management
17
18 39
19 1
20
SSL: A software specification language
3

About Bill P. Buckles

Bill P. Buckles is a scholar working on Signal Processing, Artificial Intelligence and Geology, having authored 106 papers that have together received 1.7k indexed citations. Recurring topics across this work include Data Management and Algorithms (21 papers), Advanced Database Systems and Queries (18 papers) and Evolutionary Algorithms and Applications (14 papers). The work is most often cited by research in Signal Processing (715 citations), Artificial Intelligence (836 citations) and Computer Networks and Communications (555 citations). Bill P. Buckles has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Frederick E. Petry, Xiaohui Yuan, Srikanth Ryali, Adnan Yazıcı, Yao Shen, R. George, Carlos A. Coello Coello, Roy George, Jian Zhang and Matthew Lybanon. Their work appears in journals such as Sensors, Information Sciences and IEEE Transactions on Software Engineering.

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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