James Pond

1.3k total citations
45 papers, 977 citations indexed

About

James Pond is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, James Pond has authored 45 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 17 papers in Atomic and Molecular Physics, and Optics and 12 papers in Biomedical Engineering. Recurrent topics in James Pond's work include Photonic and Optical Devices (28 papers), Optical Network Technologies (12 papers) and Photonic Crystals and Applications (11 papers). James Pond is often cited by papers focused on Photonic and Optical Devices (28 papers), Optical Network Technologies (12 papers) and Photonic Crystals and Applications (11 papers). James Pond collaborates with scholars based in Canada, United States and Russia. James Pond's co-authors include Joseph R. Lakowicz, Mustafa Habib Chowdhury, Stephen K. Gray, Lukas Chrostowski, Jonas Flueckiger, Krishanu Ray, Xu Wang, Amy Liu, Jackson Klein and Zeqin Lu and has published in prestigious journals such as Analytical Chemistry, The Journal of Physical Chemistry C and Optics Letters.

In The Last Decade

James Pond

42 papers receiving 927 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Pond Canada 13 568 369 317 285 132 45 977
Renaud Marty France 17 225 0.4× 732 2.0× 355 1.1× 562 2.0× 83 0.6× 30 1.0k
Xuezhi Zheng Belgium 21 375 0.7× 952 2.6× 562 1.8× 797 2.8× 81 0.6× 83 1.4k
Leo T. Varghese United States 15 1.2k 2.2× 278 0.8× 1.2k 3.8× 249 0.9× 94 0.7× 29 1.7k
Thorsten Feichtner Germany 11 285 0.5× 643 1.7× 405 1.3× 512 1.8× 61 0.5× 18 993
Dmitry Yu. Fedyanin Russia 15 470 0.8× 606 1.6× 336 1.1× 315 1.1× 77 0.6× 44 926
Carlo Forestiere Italy 20 327 0.6× 620 1.7× 413 1.3× 467 1.6× 77 0.6× 61 1.0k
Martin Esmann Germany 17 288 0.5× 439 1.2× 448 1.4× 239 0.8× 25 0.2× 48 825
Angelos Xomalis United Kingdom 12 235 0.4× 372 1.0× 248 0.8× 353 1.2× 44 0.3× 31 696
Yi Yu Denmark 20 930 1.6× 420 1.1× 917 2.9× 127 0.4× 39 0.3× 79 1.2k

Countries citing papers authored by James Pond

Since Specialization
Citations

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

Fields of papers citing papers by James Pond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Pond

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

All Works

20 of 20 papers shown
1.
Lu, Zeqin, et al.. (2024). Enabling data-driven and bidirectional model development in Verilog-A for photonic devices. Optics Express. 32(17). 29965–29965.
2.
Jhoja, Jaspreet, Zeqin Lu, James Pond, & Lukas Chrostowski. (2020). Efficient layout-aware statistical analysis for photonic integrated circuits. Optics Express. 28(6). 7799–7799. 6 indexed citations
3.
4.
Lu, Zeqin, Jaspreet Jhoja, Jackson Klein, et al.. (2017). Performance prediction for silicon photonics integrated circuits with layout-dependent correlated manufacturing variability. Optics Express. 25(9). 9712–9712. 160 indexed citations
5.
Pond, James, Jackson Klein, Xu Wang, et al.. (2017). Predicting the yield of photonic integrated circuits using statistical compact modeling. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10242. 102420S–102420S. 11 indexed citations
6.
Dolev, Ido, et al.. (2016). Simulating semiconductor structures for next-generation optical inspection technologies. Optical Engineering. 55(2). 25102–25102. 10 indexed citations
7.
Pond, James, Xu Wang, Jonas Flueckiger, et al.. (2016). Design and optimization of photolithography friendly photonic components. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9751. 97510V–97510V. 9 indexed citations
8.
9.
Chowdhury, Mustafa Habib, Krishanu Ray, Stephen K. Gray, James Pond, & Joseph R. Lakowicz. (2010). The use of aluminum nanostructures as platforms for metal enhanced fluorescence of the intrinsic emission of biomolecules in the ultra-violet. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7577. 75770O–75770O. 4 indexed citations
10.
Pond, James, et al.. (2010). Virtual prototyping and optimization of novel solar cell designs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7750. 775028–775028. 11 indexed citations
11.
Tanev, Stoyan, Wenbo Sun, James Pond, Valery V. Tuchin, & Vladimir P. Zharov. (2009). Flow cytometry with gold nanoparticles and their clusters as scattering contrast agents: FDTD simulation of light–cell interaction. Journal of Biophotonics. 2(8-9). 505–520. 26 indexed citations
12.
Chowdhury, Mustafa Habib, Krishanu Ray, Stephen K. Gray, James Pond, & Joseph R. Lakowicz. (2009). Aluminum Nanoparticles as Substrates for Metal-Enhanced Fluorescence in the Ultraviolet for the Label-Free Detection of Biomolecules. Analytical Chemistry. 81(4). 1397–1403. 179 indexed citations
13.
Chowdhury, Mustafa Habib, James Pond, Stephen K. Gray, & Joseph R. Lakowicz. (2008). Systematic Computational Study of the Effect of Silver Nanoparticle Dimers on the Coupled Emission from Nearby Fluorophores. The Journal of Physical Chemistry C. 112(30). 11236–11249. 67 indexed citations
14.
Tanev, Stoyan, James Pond, P. Paddon, & Valery V. Tuchin. (2008). A New 3D Simulation Method for the Construction of Optical Phase Contrast Images of Gold Nanoparticle Clusters in Biological Cells. Carleton University's Institutional Repository (MacOdrum Library, Carleton University). 2008(1). 8 indexed citations
15.
Tanev, Stoyan, James Pond, P. Paddon, & Valery V. Tuchin. (2008). FDTD simulation of optical phase contrast microscope imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6991. 69912D–69912D. 3 indexed citations
16.
Tanev, Stoyan, James Pond, P. Paddon, & Valery V. Tuchin. (2008). <title>Optical phase contrast microscope imaging: a FDTD modeling approach</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 67910E–67910E. 2 indexed citations
17.
Chowdhury, Mustafa Habib, Stephen K. Gray, James Pond, et al.. (2007). Computational study of fluorescence scattering by silver nanoparticles. Journal of the Optical Society of America B. 24(9). 2259–2259. 39 indexed citations
18.
Pond, James, et al.. (2006). Emerging trends in photonics modeling. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6123. 612306–612306. 1 indexed citations
19.
Pond, James, Stephen Hughes, Lora Ramunno, et al.. (2004). Is photonic crystal technology commercially viable. Optical Fiber Communication Conference. 2. 280–282. 2 indexed citations
20.
Mathieson, Luke, Alexandre Mendes, J. Marsden, James Pond, & Pablo Moscato. (2004). Computer-aided Breast Cancer Diagnosis with Optimal Feature Sets: Application of Safe Reduction Rules and Optimization Techniques. 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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