Peter R. Conwell

1.1k total citations
11 papers, 372 citations indexed

About

Peter R. Conwell is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Peter R. Conwell has authored 11 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Peter R. Conwell's work include Neural Networks and Applications (6 papers), Photonic Crystals and Applications (4 papers) and Near-Field Optical Microscopy (3 papers). Peter R. Conwell is often cited by papers focused on Neural Networks and Applications (6 papers), Photonic Crystals and Applications (4 papers) and Near-Field Optical Microscopy (3 papers). Peter R. Conwell collaborates with scholars based in United States. Peter R. Conwell's co-authors include C.K. Rushforth, Peter W. Barber, Steven C. Hill, Robert E. Benner, N.E. Cotter, A. Steven Younger and Sepp Hochreiter and has published in prestigious journals such as Neural Computation, Journal of the Optical Society of America A and IEEE Transactions on Neural Networks.

In The Last Decade

Peter R. Conwell

10 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter R. Conwell United States 8 176 125 113 72 46 11 372
Erna Frins Uruguay 15 202 1.1× 126 1.0× 99 0.9× 8 0.1× 52 1.1× 60 499
R. Glenn Sellar United States 9 95 0.5× 56 0.4× 149 1.3× 22 0.3× 11 0.2× 46 333
Silvano Fineschi Italy 15 102 0.6× 102 0.8× 176 1.6× 60 0.8× 12 0.3× 175 1.3k
Vijay Kumar India 13 329 1.9× 116 0.9× 230 2.0× 32 0.4× 20 0.4× 75 484
G. Gouesbet France 11 404 2.3× 70 0.6× 323 2.9× 12 0.2× 34 0.7× 21 606
Xiujian Li China 13 251 1.4× 194 1.6× 133 1.2× 49 0.7× 8 0.2× 67 566
Graeme P. A. Malcolm United Kingdom 14 510 2.9× 481 3.8× 136 1.2× 34 0.5× 23 0.5× 56 806
Gareth T. Maker United Kingdom 14 461 2.6× 460 3.7× 121 1.1× 27 0.4× 21 0.5× 50 745
Lu Gao China 14 241 1.4× 190 1.5× 145 1.3× 56 0.8× 11 0.2× 49 627
Aniceto Belmonte Spain 16 659 3.7× 524 4.2× 310 2.7× 28 0.4× 46 1.0× 47 954

Countries citing papers authored by Peter R. Conwell

Since Specialization
Citations

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

Fields of papers citing papers by Peter R. Conwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter R. Conwell. 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 Peter R. Conwell. The network helps show where Peter R. Conwell may publish in the future.

Co-authorship network of co-authors of Peter R. Conwell

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

All Works

11 of 11 papers shown
1.
Cotter, N.E. & Peter R. Conwell. (2002). Learning algorithms and fixed dynamics. i. 799–801. 8 indexed citations
2.
Cotter, N.E., et al.. (2002). Prejudicial searches and the pole balancer. ii. 689–694.
3.
Younger, A. Steven, Sepp Hochreiter, & Peter R. Conwell. (2002). Meta-learning with backpropagation. 3. 2001–2006. 31 indexed citations
4.
Younger, A. Steven, Peter R. Conwell, & N.E. Cotter. (1999). Fixed-weight on-line learning. IEEE Transactions on Neural Networks. 10(2). 272–283. 25 indexed citations
5.
Cotter, N.E. & Peter R. Conwell. (1993). Universal Approximation by Phase Series and Fixed-Weight Networks. Neural Computation. 5(3). 359–362. 3 indexed citations
6.
Cotter, N.E. & Peter R. Conwell. (1990). Methuselah networks and optimal control. 401–406 vol.3. 1 indexed citations
7.
Cotter, N.E. & Peter R. Conwell. (1990). Fixed-weight networks can learn. 553–559 vol.3. 20 indexed citations
8.
Hill, Steven C., C.K. Rushforth, Robert E. Benner, & Peter R. Conwell. (1985). Sizing dielectric spheres and cylinders by aligning measured and computed resonance locations: algorithm for multiple orders. Applied Optics. 24(15). 2380–2380. 75 indexed citations
9.
Hill, Steven C., Robert E. Benner, C.K. Rushforth, & Peter R. Conwell. (1984). Structural resonances observed in the fluorescence emission from small spheres on substrates. Applied Optics. 23(11). 1680–1680. 50 indexed citations
10.
Conwell, Peter R., C.K. Rushforth, Robert E. Benner, & Steven C. Hill. (1984). Efficient automated algorithm for the sizing of dielectric microspheres using the resonance spectrum. Journal of the Optical Society of America A. 1(12). 1181–1181. 28 indexed citations
11.
Conwell, Peter R., Peter W. Barber, & C.K. Rushforth. (1984). Resonant spectra of dielectric spheres. Journal of the Optical Society of America A. 1(1). 62–62. 131 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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