Brian J. Ross

1.3k total citations · 1 hit paper
47 papers, 729 citations indexed

About

Brian J. Ross is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Brian J. Ross has authored 47 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 12 papers in Molecular Biology. Recurrent topics in Brian J. Ross's work include Evolutionary Algorithms and Applications (33 papers), Metaheuristic Optimization Algorithms Research (16 papers) and Formal Methods in Verification (7 papers). Brian J. Ross is often cited by papers focused on Evolutionary Algorithms and Applications (33 papers), Metaheuristic Optimization Algorithms Research (16 papers) and Formal Methods in Verification (7 papers). Brian J. Ross collaborates with scholars based in Canada and Jordan. Brian J. Ross's co-authors include Beatrice M. Ombuki, Frank Fueten, Andrea L. Wiens, William J. Barry, Sheridan Houghten, P Budkewitsch, Alan Smaill and Stephen P. Brooks and has published in prestigious journals such as Applied Soft Computing, Applied Intelligence and Complexity.

In The Last Decade

Brian J. Ross

42 papers receiving 671 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.

Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windows

2006 353 citations Beatrice M. Ombuki, Brian J. Ross et al. Applied Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian J. Ross Canada	12	295	280	140	135	87	47	729
Chuan-Kang Ting Taiwan	18	520 1.8×	200 0.7×	165 1.2×	62 0.5×	356 4.1×	75	1.1k
Abdelkader Benyettou Algeria	14	442 1.5×	150 0.5×	165 1.2×	85 0.6×	57 0.7×	78	929
Marcel Mongeau France	17	91 0.3×	260 0.9×	181 1.3×	45 0.3×	94 1.1×	46	935
T.H. Lee Singapore	15	295 1.0×	108 0.4×	123 0.9×	25 0.2×	170 2.0×	47	747
Vũ Dương Singapore	17	240 0.8×	41 0.1×	69 0.5×	95 0.7×	55 0.6×	90	823
Maximilian Ernestus Germany	3	282 1.0×	48 0.2×	115 0.8×	93 0.7×	42 0.5×	3	755
Ashley Hill France	4	281 1.0×	49 0.2×	121 0.9×	100 0.7×	42 0.5×	7	759
Antonin Raffin Germany	4	286 1.0×	48 0.2×	118 0.8×	94 0.7×	43 0.5×	9	758
Eric Schkufza United States	15	274 0.9×	91 0.3×	387 2.8×	25 0.2×	150 1.7×	24	1.3k

Countries citing papers authored by Brian J. Ross

Since Specialization

Citations

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

Fields of papers citing papers by Brian J. Ross

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Ross. 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 Brian J. Ross. The network helps show where Brian J. Ross may publish in the future.

Co-authorship network of co-authors of Brian J. Ross

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ross, Brian J., et al.. (2014). Exploring non-photorealistic rendering with genetic programming. Genetic Programming and Evolvable Machines. 16(2). 211–239. 4 indexed citations

2.

Ross, Brian J., et al.. (2013). Aesthetic 3D model evolution. Genetic Programming and Evolvable Machines. 14(3). 339–367. 11 indexed citations

3.

Ross, Brian J., et al.. (2013). Generative representations for artificial architecture and passive solar performance. 537–545. 1 indexed citations

4.

Ross, Brian J.. (2007). Using genetic programming to synthesize monotonic stochastic processes. Computational intelligence. 71–78. 4 indexed citations

5.

Ross, Brian J., et al.. (2006). Evolving dynamic Bayesian networks with Multi-objective genetic algorithms. Applied Intelligence. 26(1). 13–23. 22 indexed citations

6.

Ombuki, Beatrice M., et al.. (2006). Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windows. Applied Intelligence. 24(1). 17–30. 353 indexed citations breakdown →

7.

Ross, Brian J., et al.. (2002). Hyperspectral Image Analysis Using Genetic Programming. 27 indexed citations

8.

Wiens, Andrea L. & Brian J. Ross. (2002). Gentropy: evolving 2D textures. Computers & Graphics. 26(1). 75–88. 22 indexed citations

9.

Ross, Brian J.. (2001). The evaluation of a stochastic regular motif language for protein sequences. Genetic and Evolutionary Computation Conference. 120–128. 6 indexed citations

10.

Ross, Brian J., et al.. (2001). Automatic mineral identification using genetic programming. Machine Vision and Applications. 13(2). 61–69. 35 indexed citations

11.

Ross, Brian J., et al.. (2001). An Examination of Lamarckian Genetic Algorithms. 6 indexed citations

12.

Ross, Brian J.. (2000). The effects of randomly sampled training data on program evolution. Genetic and Evolutionary Computation Conference. 443–450. 7 indexed citations

13.

Ross, Brian J., et al.. (2000). Edge detection of petrographic images using genetic programming. Genetic and Evolutionary Computation Conference. 658–665. 11 indexed citations

14.

Ross, Brian J.. (1999). Logic—based genetic programming with definite clause translation grammars. Genetic and Evolutionary Computation Conference. 1236–1236. 10 indexed citations

15.

Ross, Brian J.. (1997). Running programs backwards: The logical inversion of imperative computation. Formal Aspects of Computing. 9(3). 331–348. 18 indexed citations

16.

Ross, Brian J.. (1995). A Process Algebra for Stochastic Music Composition. The Journal of the Abraham Lincoln Association. 1995. 3 indexed citations

17.

Ross, Brian J.. (1994). The inductive inference of cyclic synchronized interleaving. European Conference on Artificial Intelligence. 423–427. 1 indexed citations

18.

Ross, Brian J.. (1991). A Semantic Approach to Prolog Program Analysis.. John Wiley & Sons, Inc. eBooks. 165–187.

19.

Ross, Brian J. & Alan Smaill. (1990). An algebraic semantics of prolog program termination. International Conference on Lightning Protection. 2(11). 316–330.

20.

Ross, Brian J.. (1988). The Partial Evaluation of Imperative Programs Using Prolog.. MIT Press eBooks. 341–363. 1 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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