Randall S. Sexton

1.8k total citations
25 papers, 1.2k citations indexed

About

Randall S. Sexton is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Management Science and Operations Research. According to data from OpenAlex, Randall S. Sexton has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Industrial and Manufacturing Engineering and 4 papers in Management Science and Operations Research. Recurrent topics in Randall S. Sexton's work include Neural Networks and Applications (12 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Evolutionary Algorithms and Applications (5 papers). Randall S. Sexton is often cited by papers focused on Neural Networks and Applications (12 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Evolutionary Algorithms and Applications (5 papers). Randall S. Sexton collaborates with scholars based in United States. Randall S. Sexton's co-authors include Robert E. Dorsey, John D. Johnson, Jatinder N.D. Gupta, Michael A. Hignite, Bahram Alidaee, Richard A. Johnson, Sheryl Brahnam, Frank Y. Shih, Chao-Fa Chuang and Angela M. Smith and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and Decision Support Systems.

In The Last Decade

Randall S. Sexton

25 papers receiving 1.2k citations

Peers

Randall S. Sexton
David Gunning United States
Ibomoiye Domor Mienye South Africa
Pasi Luukka Finland
John D. Johnson United States
Markus Schneider United States
Mingyun Gu China
Yu‐Shan Shih Taiwan
Xinyang Deng China
David Gunning United States
Randall S. Sexton
Citations per year, relative to Randall S. Sexton Randall S. Sexton (= 1×) peers David Gunning

Countries citing papers authored by Randall S. Sexton

Since Specialization
Citations

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

Fields of papers citing papers by Randall S. Sexton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randall S. Sexton. 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 Randall S. Sexton. The network helps show where Randall S. Sexton may publish in the future.

Co-authorship network of co-authors of Randall S. Sexton

This figure shows the co-authorship network connecting the top 25 collaborators of Randall S. Sexton. A scholar is included among the top collaborators of Randall S. Sexton 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 Randall S. Sexton. Randall S. Sexton 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
1.
Sexton, Randall S., et al.. (2019). A neural network solution for forecasting labor demand of drop-in peer tutoring centers with long planning horizons. Education and Information Technologies. 24(6). 3501–3522. 1 indexed citations
2.
Sexton, Randall S., et al.. (2013). Forecasting Daily Retail Sales Using a Modified Genetic Algorithm Neural Network. BearWorks (Missouri State University). 1 indexed citations
3.
Sexton, Randall S., et al.. (2009). Identifying Predictors of Achievement in the Newly Defined Information Literacy: A Neural Network Analysis. College student journal. 43(4). 1084–1093. 1 indexed citations
4.
Brahnam, Sheryl, Loris Nanni, & Randall S. Sexton. (2008). Neonatal Facial Pain Detection Using NNSOA and LSVM.. BearWorks (Missouri State University). 352–357. 17 indexed citations
5.
Brahnam, Sheryl, Chao-Fa Chuang, Randall S. Sexton, & Frank Y. Shih. (2006). Machine assessment of neonatal facial expressions of acute pain. Decision Support Systems. 43(4). 1242–1254. 73 indexed citations
6.
Sexton, Randall S., et al.. (2004). Employee turnover: a neural network solution. Computers & Operations Research. 32(10). 2635–2651. 58 indexed citations
7.
Sexton, Randall S., et al.. (2003). Improving Decision Effectiveness of Artificial Neural Networks: A Modified Genetic Algorithm Approach. Decision Sciences. 34(3). 421–442. 43 indexed citations
8.
Sexton, Randall S., et al.. (2002). Simultaneous optimization of neural network function and architecture algorithm. Decision Support Systems. 36(3). 283–296. 35 indexed citations
9.
Sexton, Randall S., Richard A. Johnson, & Michael A. Hignite. (2002). Predicting Internet/ e‐commerce use. Internet Research. 12(5). 402–410. 77 indexed citations
10.
Sexton, Randall S., et al.. (2001). Neural Networks Refined: Using a Genetic Algorithm to Identify Predictors of is Student Success. Journal of Computer Information Systems. 41(3). 42–47. 6 indexed citations
11.
Sexton, Randall S., et al.. (2001). Data mining using a genetic algorithm‐trained neural network. Intelligent Systems in Accounting Finance & Management. 10(4). 201–210. 9 indexed citations
12.
Gupta, Jatinder N.D., Randall S. Sexton, & Enar A. Tunç. (2000). Selecting Scheduling Heuristics Using Neural Networks. INFORMS journal on computing. 12(2). 150–162. 24 indexed citations
13.
Sexton, Randall S. & Jatinder N.D. Gupta. (2000). Comparative evaluation of genetic algorithm and backpropagation for training neural networks. Information Sciences. 129(1-4). 45–59. 110 indexed citations
14.
Sexton, Randall S. & Robert E. Dorsey. (2000). Reliable classification using neural networks: a genetic algorithm and backpropagation comparison. Decision Support Systems. 30(1). 11–22. 76 indexed citations
15.
Sexton, Randall S., Robert E. Dorsey, & John D. Johnson. (1999). Optimization of neural networks: A comparative analysis of the genetic algorithm and simulated annealing. European Journal of Operational Research. 114(3). 589–601. 173 indexed citations
16.
Gupta, Jatinder N.D. & Randall S. Sexton. (1999). Comparing backpropagation with a genetic algorithm for neural network training. Omega. 27(6). 679–684. 166 indexed citations
17.
Sexton, Randall S., Bahram Alidaee, Robert E. Dorsey, & John D. Johnson. (1998). Global optimization for artificial neural networks: A tabu search application. European Journal of Operational Research. 106(2-3). 570–584. 108 indexed citations
18.
Sexton, Randall S., Robert E. Dorsey, & John D. Johnson. (1998). Toward global optimization of neural networks: A comparison of the genetic algorithm and backpropagation. Decision Support Systems. 22(2). 171–185. 180 indexed citations
19.
Gupta, Jatinder N.D., Randall S. Sexton, & Enar A. Tunç. (1998). Neural networks approach to select scheduling heuristics. BearWorks (Missouri State University). 1 indexed citations
20.
Aiken, Milam, et al.. (1994). Group Decision Support Systems in Higher Education. Journal of Educational Technology Systems. 23(1). 3–12. 5 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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