David I. Feinstein

463 total citations · 1 hit paper
8 papers, 324 citations indexed

About

David I. Feinstein is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, David I. Feinstein has authored 8 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics, Probability and Uncertainty, 2 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in David I. Feinstein's work include Scientific Measurement and Uncertainty Evaluation (2 papers), Statistical and numerical algorithms (1 paper) and Structural Health Monitoring Techniques (1 paper). David I. Feinstein is often cited by papers focused on Scientific Measurement and Uncertainty Evaluation (2 papers), Statistical and numerical algorithms (1 paper) and Structural Health Monitoring Techniques (1 paper). David I. Feinstein collaborates with scholars based in United States and Canada. David I. Feinstein's co-authors include R. G. Palmer, J. J. Hopfield, Amgad Elgowainy and I. Rodríguez and has published in prestigious journals such as Nature, Journal of Mathematical Analysis and Applications and Zeitschrift für Naturforschung A.

In The Last Decade

David I. Feinstein

8 papers receiving 296 citations

Hit Papers

‘Unlearning’ has a stabilizing effect in collective memories 1983 2026 1997 2011 1983 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David I. Feinstein United States 3 188 164 52 34 31 8 324
G Palm Germany 3 202 1.1× 151 0.9× 112 2.2× 7 0.2× 39 1.3× 5 294
N Rochester United States 7 140 0.7× 127 0.8× 37 0.7× 11 0.3× 36 1.2× 10 357
Jun-ichiro Hirayama Japan 9 105 0.6× 137 0.8× 20 0.4× 15 0.4× 23 0.7× 24 318
Rasmus Elsborg Madsen Denmark 8 167 0.9× 153 0.9× 29 0.6× 15 0.4× 47 1.5× 16 394
Guillaume Lajoie Canada 12 136 0.7× 239 1.5× 91 1.8× 46 1.4× 75 2.4× 28 360
Hananel Hazan United States 8 122 0.6× 164 1.0× 120 2.3× 13 0.4× 44 1.4× 25 330
Andrea Galluzzi Italy 9 84 0.4× 100 0.6× 24 0.5× 82 2.4× 26 0.8× 16 233
DeLiang L. Wang United States 5 111 0.6× 221 1.3× 63 1.2× 67 2.0× 33 1.1× 8 416
Heiko Wersing Germany 8 124 0.7× 90 0.5× 28 0.5× 33 1.0× 11 0.4× 19 263
Kaushik Majumdar India 12 56 0.3× 270 1.6× 18 0.3× 16 0.5× 65 2.1× 30 392

Countries citing papers authored by David I. Feinstein

Since Specialization
Citations

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

Fields of papers citing papers by David I. Feinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David I. Feinstein

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

All Works

8 of 8 papers shown
1.
Elgowainy, Amgad, David I. Feinstein, & I. Rodríguez. (2005). Performance analysis of axial fans in unitary air-conditioning systems. 20. 531–536. 2 indexed citations
2.
Feinstein, David I., et al.. (2002). Estimating the parameters for an exponential process via a Hough transform. International Conference on Acoustics, Speech, and Signal Processing. smc 8. 2475–2478. 1 indexed citations
3.
Feinstein, David I.. (1988). The Hexagonal Resistive Network and the Circular Approximation. CaltechAUTHORS (California Institute of Technology). 4 indexed citations
4.
Hopfield, J. J., David I. Feinstein, & R. G. Palmer. (1983). ‘Unlearning’ has a stabilizing effect in collective memories. Nature. 304(5922). 158–159. 305 indexed citations breakdown →
5.
Feinstein, David I., et al.. (1980). Studies on the determination of multiple numbers of experimental parameters 1. Preliminary study. Journal of Mathematical Analysis and Applications. 76(1). 270–282. 1 indexed citations
6.
Feinstein, David I., et al.. (1980). Studies on the determination of multiple numbers of experimental parameters. 2. Simultaneous multiple relaxation equations. Journal of Mathematical Analysis and Applications. 77(1). 38–46. 1 indexed citations
7.
Feinstein, David I., et al.. (1975). Double Dielectric Relaxation of Non-Confocal Membrane-Covered Ellipsoidal Particle Suspensions. Zeitschrift für Naturforschung A. 30(12). 1675–1679. 2 indexed citations
8.
Feinstein, David I., et al.. (1968). Personnel Casualty Study. Defense Technical Information Center (DTIC). 8 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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