Hans DePold

527 total citations
12 papers, 433 citations indexed

About

Hans DePold is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Hans DePold has authored 12 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 6 papers in Biomedical Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Hans DePold's work include Advanced Measurement and Detection Methods (6 papers), Advanced Sensor Technologies Research (6 papers) and Engineering Diagnostics and Reliability (5 papers). Hans DePold is often cited by papers focused on Advanced Measurement and Detection Methods (6 papers), Advanced Sensor Technologies Research (6 papers) and Engineering Diagnostics and Reliability (5 papers). Hans DePold collaborates with scholars based in United States and China. Hans DePold's co-authors include Allan J. Volponi, Ranjan Ganguli, Jason B. Siegel, Howard C. Gifford, Michael A. Gennert, Guido Boening, Michael A. King, William H. Morrison, Bing Feng and Krishna R. Pattipati and has published in prestigious journals such as IEEE Transactions on Nuclear Science, Journal of Engineering for Gas Turbines and Power and IEEE Symposium Conference Record Nuclear Science 2004..

In The Last Decade

Hans DePold

12 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans DePold United States 7 268 118 116 72 69 12 433
Avisekh Banerjee Canada 10 174 0.6× 90 0.8× 96 0.8× 46 0.6× 37 0.5× 28 399
Houman Hanachi Canada 10 239 0.9× 117 1.0× 83 0.7× 54 0.8× 47 0.7× 22 485
Link Jaw United States 11 330 1.2× 54 0.5× 57 0.5× 56 0.8× 48 0.7× 32 509
Yunpeng Cao China 11 218 0.8× 118 1.0× 59 0.5× 25 0.3× 38 0.6× 47 371
Igor Loboda Mexico 10 123 0.5× 70 0.6× 57 0.5× 39 0.5× 32 0.5× 53 258
Jonathan DeCastro United States 8 255 1.0× 39 0.3× 35 0.3× 51 0.7× 53 0.8× 15 421
E. Naderi Canada 8 274 1.0× 71 0.6× 45 0.4× 34 0.5× 52 0.8× 11 320
Chris Mechefske Canada 8 406 1.5× 58 0.5× 83 0.7× 26 0.4× 34 0.5× 11 506
Jean Louis Duval France 10 53 0.2× 143 1.2× 62 0.5× 97 1.3× 19 0.3× 31 487

Countries citing papers authored by Hans DePold

Since Specialization
Citations

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

Fields of papers citing papers by Hans DePold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans DePold

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

All Works

12 of 12 papers shown
1.
DePold, Hans, Guido Boening, Bing Feng, et al.. (2007). An Adaptive Approach to Decomposing Patient-Motion Tracking Data Acquired During Cardiac SPECT Imaging. IEEE Transactions on Nuclear Science. 54(1). 130–139. 22 indexed citations
2.
DePold, Hans & Jason B. Siegel. (2006). Using Diagnostics and Prognostics to Minimize the Cost of Ownership of Gas Turbines. 6 indexed citations
3.
DePold, Hans, et al.. (2006). A Unified Metric for Fault Detection and Isolation in Engines. 815–821. 6 indexed citations
4.
DePold, Hans, et al.. (2005). Data Normalization for Engine Health Monitoring. 483–488. 1 indexed citations
5.
DePold, Hans, Guido Boening, P.P. Bruyant, et al.. (2005). A neural network adaptive approach to decomposition of patient stereo-infrared tracking data for motion using asymmetric median filters during cardiac SPECT imaging. IEEE Symposium Conference Record Nuclear Science 2004.. 7. 4146–4150. 3 indexed citations
6.
DePold, Hans, et al.. (2004). Metrics for Evaluating the Accuracy of Diagnostic Fault Detection Systems. 835–841. 9 indexed citations
7.
Volponi, Allan J., et al.. (2003). The Use of Kalman Filter and Neural Network Methodologies in Gas Turbine Performance Diagnostics: A Comparative Study. Journal of Engineering for Gas Turbines and Power. 125(4). 917–924. 155 indexed citations
8.
DePold, Hans, et al.. (2003). Validation of Diagnostic Data With Statistical Analysis and Embedded Knowledge. 573–579. 3 indexed citations
10.
Litt, Jonathan S., et al.. (2000). <title>NASA aviation safety program: Aircraft Engine Health Management Data Mining Tools roadmap</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4057. 292–298. 11 indexed citations
11.
DePold, Hans, et al.. (1999). The Application of Expert Systems and Neural Networks to Gas Turbine Prognostics and Diagnostics. Journal of Engineering for Gas Turbines and Power. 121(4). 607–612. 146 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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