Kyle Erwin

1.7k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Kyle Erwin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Kyle Erwin has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Kyle Erwin's work include Advanced Multi-Objective Optimization Algorithms (6 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Risk and Portfolio Optimization (4 papers). Kyle Erwin is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (6 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Risk and Portfolio Optimization (4 papers). Kyle Erwin collaborates with scholars based in United States, South Africa and Kuwait. Kyle Erwin's co-authors include Hilary D. Miller, Bryan W. Clark, Pamela D. Noyes, Matthew K. McElwee, Edward D. Levin, Peter Zuber, Shunji Nakano, Martina Ralle, Andries P. Engelbrecht and Richard T. Di Giulio and has published in prestigious journals such as Journal of Bacteriology, Molecular Microbiology and Environment International.

In The Last Decade

Kyle Erwin

17 papers receiving 1.2k 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.

The toxicology of climate change: Environmental contaminants in a warming world

2009 819 citations Pamela D. Noyes, Matthew K. McElwee et al. Environment International profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle Erwin United States	9	558	275	208	192	127	17	1.2k
Natalie K. Karouna‐Renier United States	22	629 1.1×	330 1.2×	241 1.2×	213 1.1×	56 0.4×	54	1.1k
Alain Leprêtre France	23	401 0.7×	321 1.2×	350 1.7×	204 1.1×	74 0.6×	57	1.3k
Ihn–Sil Kwak South Korea	22	457 0.8×	541 2.0×	292 1.4×	319 1.7×	67 0.5×	147	1.6k
Eduard Szöcs Germany	15	302 0.5×	388 1.4×	329 1.6×	166 0.9×	74 0.6×	23	1.2k
Natacha Hogan Canada	22	476 0.9×	100 0.4×	315 1.5×	117 0.6×	100 0.8×	79	1.2k
Silvia Casini Italy	21	623 1.1×	200 0.7×	313 1.5×	76 0.4×	99 0.8×	57	1.1k
Élise Billoir France	18	313 0.6×	206 0.7×	264 1.3×	121 0.6×	59 0.5×	47	908
Sharon E. Hook Australia	25	1.1k 2.0×	267 1.0×	691 3.3×	233 1.2×	125 1.0×	61	1.9k
Yuping Wu China	25	646 1.2×	899 3.3×	295 1.4×	293 1.5×	101 0.8×	128	2.2k
Bimal Prasanna Mohanty India	22	193 0.3×	283 1.0×	91 0.4×	294 1.5×	78 0.6×	70	1.3k

Countries citing papers authored by Kyle Erwin

Since Specialization

Citations

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

Fields of papers citing papers by Kyle Erwin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle Erwin. 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 Kyle Erwin. The network helps show where Kyle Erwin may publish in the future.

Co-authorship network of co-authors of Kyle Erwin

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

All Works

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17 of 17 papers shown

Erwin, Kyle & Andries P. Engelbrecht. (2023). Feature-Based Complexity Measure for Multinomial Classification Datasets. Entropy. 25(7). 1000–1000. 1 indexed citations

Erwin, Kyle & Andries P. Engelbrecht. (2023). Multi-Guide Set-Based Particle Swarm Optimization for Multi-Objective Portfolio Optimization. Algorithms. 16(2). 62–62. 12 indexed citations

Erwin, Kyle & Andries P. Engelbrecht. (2023). Meta-heuristics for portfolio optimization. Soft Computing. 27(24). 19045–19073. 17 indexed citations

Garrett, Melanie E., Karen Soldano, Kyle Erwin, et al.. (2022). Genome-wide meta-analysis identifies new candidate genes for sickle cell disease nephropathy. Blood Advances. 7(17). 4782–4793. 5 indexed citations

Erwin, Kyle & Andries P. Engelbrecht. (2021). A Tuning Free Approach to Multi-guide Particle Swarm Optimization. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 5. 1–8. 1 indexed citations

Erwin, Kyle & Andries P. Engelbrecht. (2021). Set-based Particle Swarm Optimization for Portfolio Optimization with Adaptive Coordinate Descent Weight Optimization. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–8. 3 indexed citations

Erwin, Kyle & Andries P. Engelbrecht. (2020). Diversity Measures for Set-Based Meta-Heuristics. 45–50. 6 indexed citations

Erwin, Kyle & Andries P. Engelbrecht. (2020). Improved Set-based Particle Swarm optimization for Portfolio optimization. 7. 1573–1580. 8 indexed citations

Erwin, Kyle & Andries P. Engelbrecht. (2019). Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm. Proceedings of the Genetic and Evolutionary Computation Conference. 22–29. 8 indexed citations

10.

Parker, Kimberly A., et al.. (2018). Identifying spiritual markers in African American HIV positive women. Journal of Religion & Spirituality in Social Work Social Thought. 37(4). 395–413. 2 indexed citations

11.

Hutson, Mary Redmond, Anna L. Keyte, Miriam Hernández‐Morales, et al.. (2017). Temperature-activated ion channels in neural crest cells confer maternal fever–associated birth defects. Science Signaling. 10(500). 51 indexed citations

12.

Jayasundara, Nishad, et al.. (2014). AHR2-Mediated Transcriptomic Responses Underlying the Synergistic Cardiac Developmental Toxicity of PAHs. Toxicological Sciences. 143(2). 469–481. 65 indexed citations

13.

Noyes, Pamela D., Matthew K. McElwee, Hilary D. Miller, et al.. (2009). The toxicology of climate change: Environmental contaminants in a warming world. Environment International. 35(6). 971–986. 819 indexed citations breakdown →

14.

Erwin, Kyle, et al.. (2008). Differential developmental toxicity of naphthoic acid isomers in medaka (Oryzias latipes) embryos. Marine Pollution Bulletin. 57(6-12). 255–266. 29 indexed citations

15.

Grimes, Adrian C., Kyle Erwin, Harriett A. Stadt, et al.. (2008). PCB126 Exposure Disrupts ZebraFish Ventricular and Branchial but Not Early Neural Crest Development. Toxicological Sciences. 106(1). 193–205. 67 indexed citations

16.

Erwin, Kyle, Shunji Nakano, & Peter Zuber. (2005). Sulfate-Dependent Repression of Genes That Function in Organosulfur Metabolism inBacillus subtilisRequires Spx. Journal of Bacteriology. 187(12). 4042–4049. 26 indexed citations

17.

Nakano, Shunji, Kyle Erwin, Martina Ralle, & Peter Zuber. (2004). Redox‐sensitive transcriptional control by a thiol/disulphide switch in the global regulator, Spx. Molecular Microbiology. 55(2). 498–510. 127 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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