Travis Desell

1.2k total citations
60 papers, 549 citations indexed

About

Travis Desell is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Travis Desell has authored 60 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Travis Desell's work include Distributed and Parallel Computing Systems (14 papers), Neural Networks and Applications (10 papers) and Parallel Computing and Optimization Techniques (9 papers). Travis Desell is often cited by papers focused on Distributed and Parallel Computing Systems (14 papers), Neural Networks and Applications (10 papers) and Parallel Computing and Optimization Techniques (9 papers). Travis Desell collaborates with scholars based in United States, Canada and Puerto Rico. Travis Desell's co-authors include Carlos A. Varela, Kaoutar El Maghraoui, Bolesław K. Szymański, James Higgins, Susan N. Ellis‐Felege, Sima Noghanian, Ali Ashtari, Fatima El Jamiy, Malik Magdon‐Ismail and Heidi Jo Newberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Scientific Reports.

In The Last Decade

Travis Desell

55 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis Desell United States 14 188 157 109 90 73 60 549
Chih-Hsun Chou Taiwan 16 109 0.6× 191 1.2× 91 0.8× 48 0.5× 74 1.0× 42 673
Luis Valencia–Cabrera Spain 20 148 0.8× 167 1.1× 45 0.4× 37 0.4× 31 0.4× 92 1.2k
Beatriz Prieto Spain 8 139 0.7× 222 1.4× 23 0.2× 12 0.1× 40 0.5× 17 512
Philip M. Papadopoulos United States 15 455 2.4× 51 0.3× 162 1.5× 144 1.6× 42 0.6× 40 905
Mo Zhou China 10 144 0.8× 312 2.0× 137 1.3× 17 0.2× 572 7.8× 33 997
Olivier Buffet France 14 152 0.8× 313 2.0× 48 0.4× 23 0.3× 76 1.0× 53 525
Ross Hayward Australia 11 122 0.6× 169 1.1× 90 0.8× 16 0.2× 205 2.8× 29 839
Chao Gao China 9 120 0.6× 100 0.6× 56 0.5× 16 0.2× 127 1.7× 73 464

Countries citing papers authored by Travis Desell

Since Specialization
Citations

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

Fields of papers citing papers by Travis Desell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis Desell

This figure shows the co-authorship network connecting the top 25 collaborators of Travis Desell. A scholar is included among the top collaborators of Travis Desell 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 Travis Desell. Travis Desell 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.
Desell, Travis, et al.. (2024). Minimizing the EXA-GP Graph-Based Genetic Programming Algorithm for Interpretable Time Series Forecasting. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1686–1690.
2.
3.
Ricanek, Karl, et al.. (2023). Backpropagation-free 4D continuous ant-based neural topology search. Applied Soft Computing. 147. 110737–110737. 1 indexed citations
4.
5.
Desell, Travis, et al.. (2023). Artificial intelligence for automated detection of large mammals creates path to upscale drone surveys. Scientific Reports. 13(1). 947–947. 20 indexed citations
6.
Desell, Travis, et al.. (2023). Efficient Neuroevolution Using Island Repopulation and Simplex Hyperparameter Optimization. 1837–1842. 1 indexed citations
7.
Ororbia, Alexander G., et al.. (2023). Online evolutionary neural architecture search for multivariate non-stationary time series forecasting. Applied Soft Computing. 145. 110522–110522. 8 indexed citations
8.
Desell, Travis, et al.. (2022). Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. Proceedings of the Genetic and Evolutionary Computation Conference. 1299–1307. 1 indexed citations
9.
Desell, Travis, et al.. (2022). Optimized flight safety event detection in the national general aviation flight information database. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 1570–1579. 3 indexed citations
10.
Mkaouer, Mohamed Wiem, et al.. (2022). Search-based detection of code changes introducing performance regression. Swarm and Evolutionary Computation. 73. 101101–101101. 4 indexed citations
11.
Desell, Travis, et al.. (2022). ONE-NAS. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 659–662. 4 indexed citations
12.
Desell, Travis, et al.. (2021). Neuroevolution of recurrent neural networks for time series forecasting of coal-fired power plant operating parameters. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1735–1743. 3 indexed citations
13.
Desell, Travis, et al.. (2020). NLP Tools for Predictive Maintenance Records in MaintNet. 26–32. 6 indexed citations
14.
Newberg, Heidi Jo, et al.. (2019). Reconstructing the Orphan Stream Progenitor with MilkyWay@home Volunteer Computing. 233. 1 indexed citations
15.
Higgins, James, et al.. (2016). Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines. 260–269. 41 indexed citations
16.
Desell, Travis, et al.. (2010). An analysis of massively distributed evolutionary algorithms. 10. 1–8. 13 indexed citations
17.
Desell, Travis, Bolesław K. Szymański, & Carlos A. Varela. (2008). An asynchronous hybrid genetic-simplex search for modeling the Milky Way galaxy using volunteer computing. 921–928. 14 indexed citations
18.
Desell, Travis, Nathan Cole, Malik Magdon‐Ismail, et al.. (2007). Distributed and Generic Maximum Likelihood Evaluation. 160. 337–344. 5 indexed citations
19.
Maghraoui, Kaoutar El, et al.. (2005). Network Sensitive Reconfiguration of Distributed Applications. 2 indexed citations
20.
Desell, Travis, Kaoutar El Maghraoui, & Carlos A. Varela. (2004). Load Balancing of Autonomous Actors over Dynamic Networks. Hawaii International Conference on System Sciences. 90268. 23 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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