Gregory M. Saunders

1.1k total citations · 1 hit paper
6 papers, 670 citations indexed

About

Gregory M. Saunders is a scholar working on Artificial Intelligence, Sociology and Political Science and Anthropology. According to data from OpenAlex, Gregory M. Saunders has authored 6 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Anthropology. Recurrent topics in Gregory M. Saunders's work include Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Reinforcement Learning in Robotics (2 papers). Gregory M. Saunders is often cited by papers focused on Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Reinforcement Learning in Robotics (2 papers). Gregory M. Saunders collaborates with scholars based in United States. Gregory M. Saunders's co-authors include Jordan Pollack, Peter J. Angeline and John F. Kolen and has published in prestigious journals such as IEEE Transactions on Neural Networks, eScholarship (California Digital Library) and Neural Information Processing Systems.

In The Last Decade

Gregory M. Saunders

5 papers receiving 616 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.

An evolutionary algorithm that constructs recurrent neural networks

1994 658 citations Peter J. Angeline, Gregory M. Saunders et al. IEEE Transactions on Neural Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregory M. Saunders United States	3	500	97	69	55	36	6	670
Lipo Wang Singapore	12	268 0.5×	48 0.5×	117 1.7×	64 1.2×	23 0.6×	14	499
Shailesh Hegde Italy	6	372 0.7×	84 0.9×	62 0.9×	68 1.2×	27 0.8×	14	545
Masumi Ishikawa Japan	10	284 0.6×	60 0.6×	92 1.3×	29 0.5×	66 1.8×	49	448
Sascha Lange Germany	9	330 0.7×	128 1.3×	172 2.5×	55 1.0×	54 1.5×	12	585
Hong-Mo Je South Korea	6	201 0.4×	74 0.8×	191 2.8×	37 0.7×	22 0.6×	10	484
Bill G. Horne United States	12	256 0.5×	69 0.7×	40 0.6×	109 2.0×	30 0.8×	28	456
N. C. Steele United Kingdom	10	187 0.4×	67 0.7×	64 0.9×	31 0.6×	61 1.7×	39	405
Md. Shahjahan Bangladesh	10	369 0.7×	45 0.5×	174 2.5×	71 1.3×	69 1.9×	57	622
Domingo Ortíz-Boyer Spain	13	626 1.3×	56 0.6×	216 3.1×	89 1.6×	127 3.5×	23	873
Rakesh Katuwal Singapore	9	368 0.7×	42 0.4×	162 2.3×	99 1.8×	28 0.8×	10	590

Countries citing papers authored by Gregory M. Saunders

Since Specialization

Citations

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

Fields of papers citing papers by Gregory M. Saunders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory M. Saunders. 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 Gregory M. Saunders. The network helps show where Gregory M. Saunders may publish in the future.

Co-authorship network of co-authors of Gregory M. Saunders

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

All Works

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6 of 6 papers shown

1.

Saunders, Gregory M., John F. Kolen, Peter J. Angeline, & Jordan Pollack. (1997). Additive Modular Learning in Preemptrons. eScholarship (California Digital Library). 306(5). 960–971. 1 indexed citations

2.

Angeline, Peter J., Gregory M. Saunders, & Jordan Pollack. (1994). An evolutionary algorithm that constructs recurrent neural networks. IEEE Transactions on Neural Networks. 5(1). 54–65. 658 indexed citations breakdown →

3.

Saunders, Gregory M., John F. Kolen, & Jordan Pollack. (1994). The importance of leaky levels for behavior-based AI. 10(11). 275–281. 1 indexed citations

4.

Saunders, Gregory M.. (1994). The evolution of communication in adaptive agents. OhioLink ETD Center (Ohio Library and Information Network). 4 indexed citations

5.

Saunders, Gregory M., Peter J. Angeline, & Jordan Pollack. (1993). Structural and Behavioral Evolution of Recurrent Networks. Neural Information Processing Systems. 6. 88–95. 5 indexed citations

6.

Saunders, Gregory M.. (1983). The foreign policy of Angola under Agostinho Neto.. Defense Technical Information Center (DTIC). 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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