Neil Eklund

49 papers receiving 2.0k citations

Hit Papers

Damage propagation modeling for aircraft engine run-to-fa...200820262014202020082505007501000

Peers

Neil Eklund
Comparison fields: 5 of 115
  • Control and Systems Engineering 1.1k
  • Safety, Risk, Reliability and Quality 482
  • Artificial Intelligence 330
  • Mechanical Engineering 281
  • Global and Planetary Change 281
Replace Lorenzo Ciani with:
Lorenzo Ciani Italy
Dirk Söffker Germany
Achmad Widodo Indonesia
Ėric Châtelet France
Faisal Khan Ireland
Isis Didier Lins Brazil
Hermann Winner Germany
Samir Khan United Kingdom
Fabrízzio Soares Brazil
Simon Malinowski France
Neil Eklund relative to Lorenzo Ciani Italy Lorenzo Ciani's profile →
Citations per field
00.5×10×15×18.7×
Lorenzo Ciani · 1×
Citations per year

Countries citing papers authored by Neil Eklund

Since Specialization
Citations

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

Fields of papers citing papers by Neil Eklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Eklund

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Eklund. A scholar is included among the top collaborators of Neil Eklund 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 Neil Eklund. Neil Eklund 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
Physics-based Remaining Useful Life Prediction for Aircraft Engine Bearing Prognosis
53
4
Damage propagation modeling for aircraft engine run-to-failure simulationbreakdown →
1127
5
Damage Propagation Modeling for Aircraft Engine Prognostics
16
6
Intermediate feature space approach for anomaly detection in aircraft engine data
2
7 36
8 1
9 21
10 5
11 9
12 109
13 15
14 8
15 0
16 8
17 21
18 149
19 48
20 47

About Neil Eklund

Neil Eklund is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 53 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (27 papers), Machine Fault Diagnosis Techniques (7 papers) and Control Systems and Identification (6 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (482 citations), Control and Systems Engineering (1.1k citations) and Medical Laboratory Technology (68 citations). Neil Eklund has collaborated with scholars based in United States and Israel. Frequent co-authors include Kai Goebel, Abhinav Saxena, P.R. Boyce, Peter Boyce, Piero P. Bonissone, Raj Subbu, Thomas R. Kiehl, Hai Qiu, Weizhong Yan and Mark S. Rea. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Proceedings of the American Mathematical Society and Transportation Research Record Journal of the Transportation Research Board.

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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