David E. Moriarty

2.0k total citations
20 papers, 1.0k citations indexed

About

David E. Moriarty is a scholar working on Artificial Intelligence, Radiological and Ultrasound Technology and Control and Systems Engineering. According to data from OpenAlex, David E. Moriarty has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 2 papers in Radiological and Ultrasound Technology and 2 papers in Control and Systems Engineering. Recurrent topics in David E. Moriarty's work include Evolutionary Algorithms and Applications (8 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Artificial Intelligence in Games (6 papers). David E. Moriarty is often cited by papers focused on Evolutionary Algorithms and Applications (8 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Artificial Intelligence in Games (6 papers). David E. Moriarty collaborates with scholars based in United States and United Kingdom. David E. Moriarty's co-authors include Risto Miikkulainen, Anna Charlotte Schultz, John J. Grefenstette, Risto Miikkulainen, Pat Langley, Steve Jarvis, Alan Jackson, Neil A. Thacker, Simon Smith and N. A. Thacker and has published in prestigious journals such as Machine Learning, Reliability Engineering & System Safety and Journal of Magnetic Resonance Imaging.

In The Last Decade

David E. Moriarty

20 papers receiving 893 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David E. Moriarty United States	12	781	105	77	62	60	20	1.0k
István Szita Hungary	8	416 0.5×	64 0.6×	50 0.6×	28 0.5×	70 1.2×	18	544
Nicolas Sonnerat United Kingdom	4	411 0.5×	73 0.7×	84 1.1×	51 0.8×	55 0.9×	5	600
Ram Ramamoorthy United Kingdom	9	421 0.5×	63 0.6×	40 0.5×	37 0.6×	54 0.9×	15	824
Autilia Vitiello Italy	18	549 0.7×	76 0.7×	91 1.2×	71 1.1×	23 0.4×	92	887
Kurt Driessens Netherlands	15	601 0.8×	63 0.6×	84 1.1×	27 0.4×	16 0.3×	52	852
Keiki Takadama Japan	11	406 0.5×	28 0.3×	121 1.6×	39 0.6×	31 0.5×	205	642
Martijn van Otterlo Netherlands	11	499 0.6×	164 1.6×	80 1.0×	93 1.5×	17 0.3×	34	899
Anirudh Goyal Canada	7	518 0.7×	62 0.6×	37 0.5×	52 0.8×	21 0.3×	38	901
Diaa Salama AbdElminaam Egypt	15	440 0.6×	55 0.5×	48 0.6×	166 2.7×	64 1.1×	77	931
Pedro A. Torres‐Carrasquillo United States	20	1.6k 2.1×	101 1.0×	38 0.5×	36 0.6×	14 0.2×	37	2.0k

Countries citing papers authored by David E. Moriarty

Since Specialization

Citations

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

Fields of papers citing papers by David E. Moriarty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Moriarty. 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 David E. Moriarty. The network helps show where David E. Moriarty may publish in the future.

Co-authorship network of co-authors of David E. Moriarty

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Moriarty. A scholar is included among the top collaborators of David E. Moriarty 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 David E. Moriarty. David E. Moriarty 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

Moriarty, David E. & Steve Jarvis. (2014). A systems perspective on the unstable approach in commercial aviation. Reliability Engineering & System Safety. 131. 197–202. 22 indexed citations

Smith, Simon, et al.. (2008). SUBJECTIVITY IN DATA EXTRACTION: A STUDY BASED ON CONSTRUCTION HAZARD IDENTIFICATION. Edinburgh Research Explorer (University of Edinburgh). 2 indexed citations

Moriarty, David E. & Risto Miikkulainen. (2002). Hierarchical evolution of neural networks. 428–433. 37 indexed citations

Moriarty, David E. & Risto Miikkulainen. (2002). Improving game-tree search with evolutionary neural networks. 496–501. 6 indexed citations

Thacker, Neil A., et al.. (1999). Improved quality of re-sliced MR images using re-normalized sinc interpolation. Journal of Magnetic Resonance Imaging. 10(4). 582–588. 17 indexed citations

Moriarty, David E., Anna Charlotte Schultz, & John J. Grefenstette. (1999). Evolutionary Algorithms for Reinforcement Learning. Journal of Artificial Intelligence Research. 11. 241–276. 197 indexed citations

Thacker, N. A., et al.. (1999). Renormalised Sinc Interpolation.. 3 indexed citations

Moriarty, David E. & Pat Langley. (1998). Learning cooperative lane selection strategies for highways. National Conference on Artificial Intelligence. 684–691. 30 indexed citations

Moriarty, David E., et al.. (1998). Evolving Neural Networks to Play Go. Applied Intelligence. 8(1). 85–96. 53 indexed citations

10.

Moriarty, David E., et al.. (1997). Evolving Neural Networks to Play Go.. 768–775. 32 indexed citations

11.

Moriarty, David E. & Risto Miikkulainen. (1997). Forming Neural Networks Through Efficient and Adaptive Coevolution. Evolutionary Computation. 5(4). 373–399. 195 indexed citations

12.

Moriarty, David E.. (1997). Symbiotic Evolution of Neural Networks in Sequential Decision Tasks. 85 indexed citations

13.

Moriarty, David E., et al.. (1996). Efficient Reinforcement Learning through Symbiotic Evolution. Machine Learning. 22(1-3). 11–32. 5 indexed citations

14.

Moriarty, David E. & Risto Miikkulainen. (1996). Efficient reinforcement learning through symbiotic evolution. Machine Learning. 22(1-3). 11–32. 209 indexed citations

15.

Moriarty, David E. & Risto Miikkulainen. (1995). Discovering Complex Othello Strategies through Evolutionary Neural Networks. Connection Science. 7(3). 195–210. 74 indexed citations

16.

Moriarty, David E. & Risto Miikkulainen. (1995). Learning Sequential Decision Tasks. 8 indexed citations

17.

Moriarty, David E. & Risto Miikkulainen. (1995). Game Playing Othello Neuro-EVOLUTION Marker-BASED Encoding. Connection Science. 7(3-4). 195–210. 5 indexed citations

18.

Moriarty, David E. & Risto Miikkulainen. (1994). Evolving neural networks to focus minimax search. National Conference on Artificial Intelligence. 1371–1377. 16 indexed citations

19.

Moriarty, David E. & Risto Miikkulainen. (1994). Evolutionary Neural Networks for Value Ordering in Constraint SatisfactionProblems. 4 indexed citations

20.

Moriarty, David E. & Risto Miikkulainen. (1993). Evolving Complex Othello Strategies Using Marker-Based Genetic Encoding ofNeural Networks. 4 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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