Marcos E. Orchard

5.4k citations
179 papers · 4.2k indexed · 2 hit papers · h-index 35

Impact in

Papers in

Marcos E. Orchard

164 papers receiving 4.1k citations

Hit Papers

Failure Prognosis and Applications—A Survey of Recent Literature 2019 · 244 citations
2442009202620142020100200300

Peers

Marcos E. Orchard
Comparison fields: 5 of 117
  • Automotive Engineering 1.3k
  • Control and Systems Engineering 2.4k
  • Safety, Risk, Reliability and Quality 874
  • Statistics, Probability and Uncertainty 290
  • Medical Laboratory Technology 52
Replace Datong Liu with:
Datong Liu China
Abhinav Saxena United States
Lina Bertling Tjernberg Sweden
Changhua Hu China
Pingfeng Wang United States
Yu Peng China
Achmad Widodo Indonesia
Qiang Zhou China
Kamal Medjaher France
Te Han China
Marcos E. Orchard relative to Datong Liu China Datong Liu's profile →
Citations per field
00.5×1.5×1.9×
Datong Liu · 1×
Citations per year

Countries citing papers authored by Marcos E. Orchard

Since Specialization
Citations

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

Fields of papers citing papers by Marcos E. Orchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcos E. Orchard. 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 Marcos E. Orchard. The network helps show where Marcos E. Orchard may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Marcos E. Orchard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcos E. Orchard Line = papers co-authored together Marcos E. Orchard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20250
5 20250
6 20240
7 20241
8 20242
9 20229
10 202241
11 202249
12 20212
13 20216
14 20183
15 20182
16 20183
17 20161
18 2015107
19 20131
20 201113

About Marcos E. Orchard

Marcos E. Orchard is a scholar working on Automotive Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Medical Laboratory Technology, having authored 179 papers that have together received 4.2k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (76 papers), Advanced Battery Technologies Research (59 papers), Machine Fault Diagnosis Techniques (39 papers), Reliability and Maintenance Optimization (38 papers), Advancements in Battery Materials (20 papers), Target Tracking and Data Fusion in Sensor Networks (17 papers), Electric Vehicles and Infrastructure (13 papers) and Risk and Safety Analysis (10 papers). The work is most often cited by research in Automotive Engineering (1.3k citations), Control and Systems Engineering (2.4k citations), Safety, Risk, Reliability and Quality (874 citations), Statistics, Probability and Uncertainty (290 citations) and Medical Laboratory Technology (52 citations). Marcos E. Orchard has collaborated with scholars based in Chile, United States and France. Frequent co-authors include George Vachtsevanos, Mehrdad Saif, Mojtaba Kordestani, Chaochao Chen, Bin Zhang, Jorge F. Silva, A. Pérez, Kai Goebel, K. Khorasani and Romano Patrick. Their work appears in journals such as Mechanical Systems and Signal Processing, IEEE Transactions on Industrial Electronics, IEEE Transactions on Instrumentation and Measurement, Expert Systems with Applications and International Journal of Prognostics and Health Management.

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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