Sharlee Climer

29 papers receiving 299 citations

Peers

Sharlee Climer
Comparison fields: 5 of 95
  • Computational Mathematics 3
  • Industrial and Manufacturing Engineering 46
  • Computer Vision and Pattern Recognition 67
  • Genetics 60
  • Signal Processing 18
Replace Weicai Zhong with:
Weicai Zhong China
Gautam Garai India
Konstantinos Giannakis Greece
David Haws United States
Ricardo J. Barrientos Chile
George B. Mertzios United Kingdom
David A. Rosenblueth Mexico
Dominique Snyers France
Kazukuni Kobara Japan
Sharlee Climer relative to Weicai Zhong China Weicai Zhong's profile →
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Countries citing papers authored by Sharlee Climer

Since Specialization
Citations

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

Fields of papers citing papers by Sharlee Climer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sharlee Climer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sharlee Climer Line = papers co-authored together Sharlee Climer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200642
2 200538
3 200231
4 200221
5 201420
6 201819
7 201818
8 201618
9 201416
10 200314
11 200414
12 201512
13 202211
14 20189
15 20208
16 20157
17 20085
18 20204
19 20212
20
Efficient Reduced-Bias Genetic Algorithm (ERBGA) for Generic Community Detection Objectives
20182

About Sharlee Climer

Sharlee Climer is a scholar working on Molecular Biology, Genetics, Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 31 papers that have together received 321 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (6 papers), Genetic Associations and Epidemiology (5 papers), Vehicle Routing Optimization Methods (3 papers), Computational Drug Discovery Methods (3 papers), Constraint Satisfaction and Optimization (3 papers), Complex Network Analysis Techniques (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Computational Mathematics (3 citations), Industrial and Manufacturing Engineering (46 citations), Computer Vision and Pattern Recognition (67 citations), Genetics (60 citations) and Signal Processing (18 citations). Sharlee Climer has collaborated with scholars based in United States, Sweden and Israel. Frequent co-authors include Weixiong Zhang, Sanjiv Bhatia, Alan R. Templeton, Daniel Jacobson, David Kainer, Wayne Joubert, Víctor G. Dávila‐Román, Lisa de las Fuentes, Amy C. Justice and Deborah Weighill. Their work appears in journals such as Phytobiomes Journal, Patterns, Alzheimer s & Dementia, Human Genetics and Genomics Advances and Journal of the Association for Information Systems.

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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