Christopher K. Monson
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research 9
- Evolutionary Algorithms and Applications 5
- Machine Learning and Algorithms 3
- Neural Networks and Reservoir Computing 2
-
- Advanced Multi-Objective Optimization Algorithms 2
- Information Systems top 10%
- Cloud Computing and Resource Management 2
-
- Advanced Optimization Algorithms Research 1
-
- Scheduling and Optimization Algorithms 1
- Co-authors
- Kevin SeppiSean WarnickJames L. Carroll
- Journals
- Evolutionary Computation (1 paper)Genetic and Evolutionary Computation Conference (1 paper)ScholarsArchive (Brigham Young University) (2 papers)
- Partner nations
- United States
In The Last Decade
Christopher K. Monson
13 papers receiving 268 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 210
- Computational Theory and Mathematics 96
- Information Systems 49
- Computer Networks and Communications 49
- Numerical Analysis 11
Countries citing papers authored by Christopher K. Monson
This map shows the geographic impact of Christopher K. Monson'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 Christopher K. Monson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher K. Monson more than expected).
Fields of papers citing papers by Christopher K. Monson
This network shows the impact of papers produced by Christopher K. Monson. 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 Christopher K. Monson. The network helps show where Christopher K. Monson may publish in the future.
Co-authorship network
The 3 scholars most cited alongside Christopher K. Monson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 2 | |
| 2 | 2011 | 2 | |
| 3 | 2008 | 2 | |
| 4 | 2007 | 84 | |
| 5 | 2007 | 18 | |
| 6 | 2007 | 1 | |
| 7 | 2006 | 46 | |
| 8 | No free lunch, bayesian inference, and utility: a decision-theoretic approach to optimization | 2006 | 1 |
| 9 | 2006 | 5 | |
| 10 | 2005 | 13 | |
| 11 | 2005 | 19 | |
| 12 | 2005 | 44 | |
| 13 | The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization. | 2004 | 48 |
About Christopher K. Monson
Christopher K. Monson is a scholar working on Artificial Intelligence, Numerical Analysis and Computer Networks and Communications, having authored 13 papers that have together received 285 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (5 papers), Machine Learning and Algorithms (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Cloud Computing and Resource Management (2 papers), Neural Networks and Reservoir Computing (2 papers), Scheduling and Optimization Algorithms (1 paper) and Advanced Optimization Algorithms Research (1 paper). The work is most often cited by research in Artificial Intelligence (210 citations), Computational Theory and Mathematics (96 citations) and Information Systems (49 citations). Christopher K. Monson has collaborated with scholars based in United States. Frequent co-authors include Kevin Seppi, Sean Warnick and James L. Carroll. Their work appears in journals such as Evolutionary Computation, Genetic and Evolutionary Computation Conference and ScholarsArchive (Brigham Young University).
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.