David Siegel

4.2k citations
65 papers · 3.0k indexed · 2 hit papers · h-index 24
Topics
Machine Fault Diagnosis Techniques (12 papers)Renal cell carcinoma treatment (7 papers)Fault Detection and Control Systems (7 papers)

In The Last Decade

David Siegel

63 papers receiving 2.9k citations

Hit Papers

Prognostics and health management design for rotary machi...2008202620142020201320082505007501000

Peers

David Siegel
Comparison fields: 5 of 136
  • Control and Systems Engineering 1.5k
  • Pulmonary and Respiratory Medicine 742
  • Mechanical Engineering 649
  • Safety, Risk, Reliability and Quality 552
  • Mechanics of Materials 438
Replace Andy Tan with:
Andy Tan Australia
Chao Deng China
Shichang Du China
Ian Jenkinson United Kingdom
Xintian Liu China
Félix Schmid United Kingdom
Kai Xu China
Vikesh Agrawal India
David Siegel relative to Andy Tan Australia Andy Tan's profile →
Citations per field
00.5×10×15×17.7×
Andy Tan · 1×
Citations per year

Countries citing papers authored by David Siegel

Since Specialization
Citations

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

Fields of papers citing papers by David Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Siegel

This figure shows the co-authorship network connecting the top 25 collaborators of David Siegel. A scholar is included among the top collaborators of David Siegel 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 Siegel. David Siegel 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
#WorkIndexed citations
1 0
2 2
3 43
4 40
5 4
6 22
7 25
8 3
9 10
10 35
11
Approaches to Health Monitoring of the CAT 7 Diesel Engine
1
12 3
13 24
14 3
15 8
16
A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systemsbreakdown →
357
17
ARPES study of the electronic dynamics from graphene to graphite
2
18 113
19 107
20 21

About David Siegel

David Siegel is a scholar working on Medical Laboratory Technology, Pulmonary and Respiratory Medicine and Control and Systems Engineering, having authored 65 papers that have together received 3.0k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (12 papers), Renal cell carcinoma treatment (7 papers) and Fault Detection and Control Systems (7 papers). The work is most often cited by research in Medical Laboratory Technology (170 citations), Control and Systems Engineering (1.5k citations) and Safety, Risk, Reliability and Quality (552 citations). David Siegel has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Jay Lee, Wenyu Zhao, Linxia Liao, Masoud Ghaffari, Jianbo Yu, Tianyi Wang, Ardeshir R. Rastinehad, J. Hines, Barak Friedman and Edzel Lapira. Their work appears in journals such as PLoS ONE, Scientific Reports and The Journal of Urology.

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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