Steven Gustafson

1.2k total citations
20 papers, 473 citations indexed

About

Steven Gustafson is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Steven Gustafson has authored 20 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 4 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Steven Gustafson's work include Evolutionary Algorithms and Applications (11 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Semantic Web and Ontologies (3 papers). Steven Gustafson is often cited by papers focused on Evolutionary Algorithms and Applications (11 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Semantic Web and Ontologies (3 papers). Steven Gustafson collaborates with scholars based in United States, United Kingdom and Italy. Steven Gustafson's co-authors include Edmund Burke, Natalio Krasnogor, Leonardo Vanneschi, Michael O’Neill, Wolfgang Banzhaf, Graham Kendall, William H. Hsu, Bo Liu, Fangkai Yang and Anikó Ekárt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Autonomous Robots and Journal of Parallel and Distributed Computing.

In The Last Decade

Steven Gustafson

19 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven Gustafson United States	10	386	99	90	38	30	20	473
Jan Paredis Netherlands	6	313 0.8×	39 0.4×	101 1.1×	33 0.9×	48 1.6×	16	386
Vesselin Vassilev United Kingdom	8	538 1.4×	127 1.3×	121 1.3×	18 0.5×	9 0.3×	16	654
Piet Spiessens Belgium	3	301 0.8×	27 0.3×	146 1.6×	54 1.4×	20 0.7×	4	397
L. B. Soros United States	5	262 0.7×	20 0.2×	72 0.8×	22 0.6×	17 0.6×	19	374
Justin K. Pugh United States	5	240 0.6×	16 0.2×	61 0.7×	21 0.6×	15 0.5×	12	341
Dave Corne United Kingdom	6	128 0.3×	43 0.4×	35 0.4×	144 3.8×	47 1.6×	9	325
Valentino Santucci Italy	12	255 0.7×	14 0.1×	88 1.0×	112 2.9×	18 0.6×	43	399
Brian W. Goldman United States	9	334 0.9×	96 1.0×	144 1.6×	19 0.5×	9 0.3×	20	432
Álvaro Rubio‐Largo Spain	12	104 0.3×	112 1.1×	65 0.7×	14 0.4×	15 0.5×	44	330

Countries citing papers authored by Steven Gustafson

Since Specialization

Citations

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

Fields of papers citing papers by Steven Gustafson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Gustafson

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

All Works

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20 of 20 papers shown

Yang, Fangkai, et al.. (2019). SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 2970–2977. 51 indexed citations

Yang, Fangkai, et al.. (2019). A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming. SHILAP Revista de lepidopterología. 306. 182–195. 2 indexed citations

Chowdhury, Aritra, Christopher J. Sevinsky, Bülent Yener, Kareem S. Aggour, & Steven Gustafson. (2016). A machine learning approach to quantifying noise in medical images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9791. 97910U–97910U. 3 indexed citations

Tari, Luis, et al.. (2015). Feedback-Driven Radiology Exam Report Retrieval with Semantics. Journal of Bioresource Management. 233–242. 1 indexed citations

Cuddihy, Paul, et al.. (2015). Semantics for Big Data access & integration: Improving industrial equipment design through increased data usability. 1103–1112. 11 indexed citations

Tari, Luis, et al.. (2013). A Natural Language Processing and Semantic-Based System for Contract Analysis. 707–712. 4 indexed citations

Bracewell, David B., et al.. (2010). WISDOM from Light-Weight Information Retrieval. 4. 347–354.

O’Neill, Michael, Leonardo Vanneschi, Steven Gustafson, & Wolfgang Banzhaf. (2010). Open issues in genetic programming. Genetic Programming and Evolvable Machines. 11(3-4). 339–363. 133 indexed citations

Vanneschi, Leonardo, Steven Gustafson, Alberto Moraglio, Ivanoe De Falco, & Marc Ebner. (2009). Proceedings of the 12th European Conference on Genetic Programming. 5 indexed citations

10.

Vanneschi, Leonardo & Steven Gustafson. (2009). Using crossover based similarity measure to improve genetic programming generalization ability. BOA (University of Milano-Bicocca). 1139–1146. 10 indexed citations

11.

Lim, Meng‐Hiot, Steven Gustafson, Natalio Krasnogor, & Yew-Soon Ong. (2009). Editorial to the first issue. Memetic Computing. 1(1). 1–2. 26 indexed citations

12.

Collet, Pierre, et al.. (2006). Genetic programming : 9th European conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006 : proceedings. Springer eBooks. 2 indexed citations

13.

Collet, Pierre, Marco Tomassini, Marc Ebner, Steven Gustafson, & Anikó Ekárt. (2006). Proceedings of the 9th European conference on Genetic Programming. 5 indexed citations

14.

Gustafson, Steven & David A. Gustafson. (2006). Issues in the scaling of multi-robot systems for general problem solving. Autonomous Robots. 20(2). 125–136. 4 indexed citations

15.

Gustafson, Steven & Edmund Burke. (2006). The Speciating Island Model: An alternative parallel evolutionary algorithm. Journal of Parallel and Distributed Computing. 66(8). 1025–1036. 31 indexed citations

16.

Gustafson, Steven, Anikó Ekárt, Edmund Burke, & Graham Kendall. (2004). Problem Difficulty and Code Growth in Genetic Programming. Genetic Programming and Evolvable Machines. 5(3). 271–290. 35 indexed citations

17.

Krasnogor, Natalio & Steven Gustafson. (2004). A Study on the use of ``self-generation'' in memetic algorithms. Natural Computing. 3(1). 53–76. 66 indexed citations

18.

Krasnogor, Natalio & Steven Gustafson. (2003). The Local Searcher as a Supplier of Building Blocks in Self-generating Memetic Algorithms. 1 indexed citations

19.

Burke, Edmund, Steven Gustafson, & Graham Kendall. (2002). A survey and analysis of diversity measures in genetic programming. Genetic and Evolutionary Computation Conference. 716–723. 47 indexed citations

20.

Hsu, William H. & Steven Gustafson. (2002). Genetic programming and multi-agent layered learning by reinforcements. Genetic and Evolutionary Computation Conference. 764–771. 36 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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