David C. Stenning

505 total citations
24 papers, 177 citations indexed

About

David C. Stenning is a scholar working on Astronomy and Astrophysics, Instrumentation and Artificial Intelligence. According to data from OpenAlex, David C. Stenning has authored 24 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 7 papers in Instrumentation and 5 papers in Artificial Intelligence. Recurrent topics in David C. Stenning's work include Stellar, planetary, and galactic studies (10 papers), Astronomy and Astrophysical Research (7 papers) and Gamma-ray bursts and supernovae (5 papers). David C. Stenning is often cited by papers focused on Stellar, planetary, and galactic studies (10 papers), Astronomy and Astrophysical Research (7 papers) and Gamma-ray bursts and supernovae (5 papers). David C. Stenning collaborates with scholars based in United States, United Kingdom and Canada. David C. Stenning's co-authors include David A. van Dyk, Ted von Hippel, Ata Sarajedini, Elizabeth Jeffery, W. H. Jefferys, Christopher J. Brandl, Katherine S. Hamilton, V. Kashyap, Julie Genereaux and Ayman Saleh and has published in prestigious journals such as Journal of Biological Chemistry, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

David C. Stenning

19 papers receiving 168 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David C. Stenning United States 9 127 66 28 14 10 24 177
A. López Ariste France 6 296 2.3× 29 0.4× 24 0.9× 11 0.8× 10 1.0× 8 308
Antonino Petralia Italy 8 176 1.4× 10 0.2× 24 0.9× 10 0.7× 11 1.1× 22 183
R. Ventura Italy 9 237 1.9× 54 0.8× 33 1.2× 7 0.5× 13 1.3× 35 243
W. Schaffenberger United States 6 282 2.2× 64 1.0× 25 0.9× 9 0.6× 9 0.9× 13 307
Kosuke Namekata Japan 15 512 4.0× 57 0.9× 41 1.5× 8 0.6× 12 1.2× 30 532
M. M. Katsova Russia 9 285 2.2× 31 0.5× 23 0.8× 8 0.6× 5 0.5× 37 292
F. J. G. Pinheiro Portugal 7 215 1.7× 115 1.7× 14 0.5× 8 0.6× 8 0.8× 19 230
Ruxandra Cojocaru Spain 7 106 0.8× 51 0.8× 6 0.2× 6 0.4× 3 0.3× 12 136
T. Ebisuzaki Japan 6 315 2.5× 56 0.8× 28 1.0× 16 1.1× 18 1.8× 8 323
D. Hammer United States 8 411 3.2× 111 1.7× 45 1.6× 6 0.4× 10 1.0× 17 413

Countries citing papers authored by David C. Stenning

Since Specialization
Citations

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

Fields of papers citing papers by David C. Stenning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David C. Stenning

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Stenning. A scholar is included among the top collaborators of David C. Stenning 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 C. Stenning. David C. Stenning 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.
Fonseca, Emmanuel, A. M. Khan, Lluís Mas-Ribas, et al.. (2026). Repeating versus Nonrepeating Fast Radio Bursts: A Deep Learning Approach to Morphological Characterization. The Astrophysical Journal. 998(1). 154–154.
2.
3.
Herrera-Martín, Antonio, Radu V. Craiu, Gwendolyn M. Eadie, et al.. (2025). Rare Event Classification with Weighted Logistic Regression for Identifying Repeating Fast Radio Bursts. The Astrophysical Journal. 982(1). 46–46. 1 indexed citations
4.
Stenning, David C., et al.. (2025). Computational modeling of low-velocity impact response in long discontinuous fiber composite with statistical validation. Composites Part B Engineering. 305. 112708–112708. 1 indexed citations
5.
Wright, Angus H., et al.. (2024). Improved weak lensing photometric redshift calibration via StratLearn and hierarchical modelling. Monthly Notices of the Royal Astronomical Society. 534(4). 3808–3831. 2 indexed citations
6.
Rafiei-Ravandi, Masoud, Kendrick M. Smith, Daniele Michilli, et al.. (2024). Statistical Association between the Candidate Repeating FRB 20200320A and a Galaxy Group. The Astrophysical Journal. 961(2). 177–177. 1 indexed citations
7.
Knee, A. M., et al.. (2023). Waves in a forest: a random forest classifier to distinguish between gravitational waves and detector glitches. Classical and Quantum Gravity. 40(23). 235008–235008. 2 indexed citations
8.
Dyk, David A. van, et al.. (2023). Stratified learning: A general‐purpose statistical method for improved learning under covariate shift. Statistical Analysis and Data Mining The ASA Data Science Journal. 17(1). 3 indexed citations
9.
Stenning, David C., et al.. (2023). Efficient galaxy classification through pretraining. Frontiers in Astronomy and Space Sciences. 10. 2 indexed citations
10.
Hippel, Ted von, Kareem El-Badry, David C. Stenning, et al.. (2022). Improving white dwarfs as chronometers with Gaia parallaxes and spectroscopic metallicities. arXiv (Cornell University). 8 indexed citations
11.
Stenning, David C., et al.. (2021). Forecasting Solar Cycle 25 with a Principled Bayesian Two-stage Statistical Model. Research Notes of the AAS. 5(8). 192–192. 2 indexed citations
12.
Dyk, David A. van, et al.. (2018). Bayesian hierarchical modelling of initial–final mass relations acrossstar clusters. Monthly Notices of the Royal Astronomical Society. 480(1). 1300–1321. 7 indexed citations
13.
Zanna, G. Del, David C. Stenning, Jessi Cisewski-Kehe, et al.. (2018). Incorporating Uncertainties in Atomic Data into the Analysis of Solar and Stellar Observations: A Case Study in Fe xiii. The Astrophysical Journal. 866(2). 146–146. 17 indexed citations
14.
Sarajedini, Ata, Ted von Hippel, David C. Stenning, et al.. (2017). The ACS survey of Galactic globular clusters – XIV. Bayesian single-population analysis of 69 globular clusters. Monthly Notices of the Royal Astronomical Society. 468(1). 1038–1055. 32 indexed citations
15.
Hippel, Ted von, et al.. (2016). BASE-9: Bayesian Analysis for Stellar Evolution with nine variables. Astrophysics Source Code Library. 1 indexed citations
16.
Stenning, David C., et al.. (2016). Bayesian analysis of two stellar populations in Galactic globular clusters– III. Analysis of 30 clusters. Monthly Notices of the Royal Astronomical Society. 463(4). 3768–3782. 12 indexed citations
17.
Stenning, David C., et al.. (2016). BAYESIAN ANALYSIS OF TWO STELLAR POPULATIONS IN GALACTIC GLOBULAR CLUSTERS. II. NGC 5024, NGC 5272, AND NGC 6352. The Astrophysical Journal. 826(1). 42–42. 6 indexed citations
18.
Stenning, David C., Thomas C. M. Lee, David A. van Dyk, et al.. (2013). Morphological feature extraction for statistical learning with applications to solar image data. Statistical Analysis and Data Mining The ASA Data Science Journal. 6(4). 329–345. 11 indexed citations
19.
Stenning, David C.. (1997). Arch Braces or Tension Braces?. Vernacular Architecture. 28(1). 81–84. 1 indexed citations
20.
Brandl, Christopher J., Joseph A. Martens, David C. Stenning, et al.. (1996). Structure/Function Properties of the Yeast Dual Regulator Protein NGG1 That Are Required for Glucose Repression. Journal of Biological Chemistry. 271(16). 9298–9306. 28 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by A. López Ariste Breakdown of academic impact, for papers by Antonino Petralia Breakdown of academic impact, for papers by R. Ventura Breakdown of academic impact, for papers by W. Schaffenberger Breakdown of academic impact, for papers by Kosuke Namekata Breakdown of academic impact, for papers by M. M. Katsova Breakdown of academic impact, for papers by F. J. G. Pinheiro Breakdown of academic impact, for papers by Ruxandra Cojocaru Breakdown of academic impact, for papers by T. Ebisuzaki Breakdown of academic impact, for papers by D. Hammer
Rankless by CCL
2026