David Schwartz

992 total citations · 1 hit paper
36 papers, 711 citations indexed

About

David Schwartz is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, David Schwartz has authored 36 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atomic and Molecular Physics, and Optics, 14 papers in Biomedical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in David Schwartz's work include Advanced Materials Characterization Techniques (7 papers), Adaptive optics and wavefront sensing (6 papers) and Acoustic Wave Resonator Technologies (5 papers). David Schwartz is often cited by papers focused on Advanced Materials Characterization Techniques (7 papers), Adaptive optics and wavefront sensing (6 papers) and Acoustic Wave Resonator Technologies (5 papers). David Schwartz collaborates with scholars based in United States, United Kingdom and Russia. David Schwartz's co-authors include Noah Youngs, Ralph B. D’Agostino, Robert T. M’Closkey, Dennis Kim, P.A. Stupar, Jeffrey DeNatale, Dong Joon Kim, Gregory Ditzler, J.E. Dorn and J. B. Mitchell and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Neural Networks and Journal of Nuclear Materials.

In The Last Decade

David Schwartz

34 papers receiving 649 citations

Hit Papers

The Ripple Protocol Consensus Algorithm 2014 2026 2018 2022 2014 100 200 300

Peers

David Schwartz
Le Guan China
Wei Gao China
Yoon-Ho Choi South Korea
J. A. Landt United States
Casimer DeCusatis United States
David Schwartz
Citations per year, relative to David Schwartz David Schwartz (= 1×) peers Xiaocong Zhou

Countries citing papers authored by David Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by David Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of David Schwartz. A scholar is included among the top collaborators of David Schwartz 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 Schwartz. David Schwartz 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.
Schwartz, David, et al.. (2022). Ovarian cancer detection using optical coherence tomography and convolutional neural networks. Neural Computing and Applications. 34(11). 8977–8987. 29 indexed citations
2.
Denton, Anne, Rahul Gomes, David Schwartz, & David W. Franzen. (2022). Large-Window Curvature Computations for High-Resolution Digital Elevation Models. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–20. 1 indexed citations
3.
Schwartz, David & Gregory Ditzler. (2021). Bolstering Adversarial Robustness with Latent Disparity Regularization. 8. 1–8. 2 indexed citations
4.
Schwartz, David, et al.. (2020). Language Models as Emotional Classifiers for Textual Conversation. arXiv (Cornell University). 2918–2926. 5 indexed citations
5.
Vogiatzis, Konstantinos, et al.. (2019). Using a stochastic approach to estimate the aerothermal performance of the Giant Magellan Telescope. AIAA Scitech 2019 Forum. 1 indexed citations
6.
Schwartz, David, et al.. (2018). The impact of encoding–decoding schemes and weight normalization in spiking neural networks. Neural Networks. 108. 365–378. 14 indexed citations
7.
Das, Kaushik, Fernando Quirós-Pacheco, Antonin Bouchez, et al.. (2018). The Giant Magellan Telescope phasing strategy and performance. 10700. 18–18. 7 indexed citations
8.
Schwartz, David. (2014). Breaking Through Barriers: Using Technology to Address Executive Function Weaknesses and Improve Student Achievement. Applied Neuropsychology Child. 3(3). 173–181. 4 indexed citations
9.
Schwartz, David, et al.. (2014). The Ripple Protocol Consensus Algorithm. 339 indexed citations breakdown →
10.
Schwartz, David, et al.. (2012). A model-based approach to multi-modal mass tuning of a micro-scale resonator. 28. 98–103. 3 indexed citations
11.
Schwartz, David & Robert T. M’Closkey. (2011). Decoupling of a Disk Resonator From Linear Acceleration Via Mass Matrix Perturbation. Journal of Dynamic Systems Measurement and Control. 134(2). 1 indexed citations
12.
Schwartz, David. (1995). Ready, Set, Read...20 Minutes Each Day Is All You'll Need.. 25(11). 1 indexed citations
13.
Schwartz, David. (1984). Specifications and Implementation of a Computer Audio Console for Digital Mixing and Recording. Journal of the Audio Engineering Society. 1 indexed citations
14.
Heinisch, H.L., et al.. (1979). The application of dynamical computer models to high energy cascades. Journal of Nuclear Materials. 85-86. 607–610. 3 indexed citations
15.
Schwartz, David, et al.. (1978). Analysis of irradiation disordering data. Radiation Effects. 38(1-2). 15–19. 1 indexed citations
16.
Schwartz, David. (1972). A general method of calculating particle size distributions. Journal of Microscopy. 96(1). 25–35. 14 indexed citations
17.
Davies, D. M., et al.. (1972). Computer techniques in the analysis of field‐ion micrographs. Journal of Microscopy. 95(2). 309–322. 13 indexed citations
18.
Schwartz, David & Ralph B. D’Agostino. (1969). A field-ion study of carbide particle coarsening in an alloy steel. Philosophical magazine. 19(161). 1069–1074. 25 indexed citations
19.
Schwartz, David & Ralph B. D’Agostino. (1969). The Early Stages of Growth of Second-Phase Particles in an Fe–Ti–Si Alloy. Metal Science Journal. 3(1). 216–219. 22 indexed citations
20.
Schwartz, David, A. T. Davenport, & Ralph B. D’Agostino. (1968). Field-ion microscopy of an alloy steel. Philosophical magazine. 18(152). 431–436. 10 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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