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Nicholas Flann

Computational Biology Synthetic Biology Machine Learning Artificial Intelligence Autonomous Systems
Utah State University School of Computing

About

Nicholas S. Flann is an Associate Professor of Computer Science at Utah State University. His research areas include Computational Biology, Synthetic Biology, Artificial Intelligence, Machine Learning, and Autonomous Systems

Research Performance Summary

112
Total Papers
3296
Total Citations
27
H-Index
1986-2023
Active Research Span

First Recorded Paper

Selecting Appropriate Representations for Learning from Examples.

Year: 1986

Citations: 99

Venue: AAAI

Latest Recorded Paper

Generative neural network approach to designing dynamic inductive power transfer systems

Year: 2023

Citations: 3

Venue: 2023 IEEE Wireless Power Technology Conference and Expo (WPTCE)

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2023
1
2022
3
2021
2
2020
6
2019
1
2018
1
2017
4
2016
1
2015
2
2014
6
2013
2

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 32
Journal 7
Book 3

Top Coauthors

Flann Podgorski Dietterich

Research Impact by Period

2020-2024

Period Stats
Papers 12
Citations 180
Avg. Citations / Paper 15
H-Index 7

2015-2019

Period Stats
Papers 9
Citations 76
Avg. Citations / Paper 8.4
H-Index 5

2010-2014

Period Stats
Papers 15
Citations 298
Avg. Citations / Paper 19.9
H-Index 6

2005-2009

Period Stats
Papers 20
Citations 1222
Avg. Citations / Paper 61.1
H-Index 13

2000-2004

Period Stats
Papers 14
Citations 276
Avg. Citations / Paper 19.7
H-Index 6

1995-1999

Period Stats
Papers 17
Citations 659
Avg. Citations / Paper 38.8
H-Index 7

1990-1994

Period Stats
Papers 8
Citations 148
Avg. Citations / Paper 18.5
H-Index 4

1985-1989

Period Stats
Papers 17
Citations 437
Avg. Citations / Paper 25.7
H-Index 6

Contact and Professional Links

Contact Information

nick.flann@usu.edu

Detected Research Keywords

Path Planner Method Planner Method Planning Genetic Regulatory Networks Line Cursive Handwriting Genetic Simulated Annealing Massively Parallel Simd Parallel Simd Algorithm Autonomous Mobile Robot Method Planning Path Selecting Appropriate Representations