L.B. Jack

1.2k citations
16 papers · 997 · h-index 11

Impact in

Papers in

L.B. Jack

15 papers receiving 938 citations

Peers

L.B. Jack
Comparison fields: 5 of 80
  • Control and Systems Engineering 621
  • Mechanical Engineering 367
  • Artificial Intelligence 296
  • Analytical Chemistry 66
  • Mechanics of Materials 149
Replace N. Saravanan with:
N. Saravanan India
Thomas Walter Rauber Brazil
Flávio Miguel Varejão Brazil
Khamis R. Al-Balushi Oman
Yuantao Yang China
Jinyu Tong China
Zhizhong Mao China
Zheng Chai China
Funa Zhou China
Myeongsu Kang South Korea
L.B. Jack relative to N. Saravanan India N. Saravanan's profile →
Citations per field
00.5×1.5×1.9×
N. Saravanan · 1×
Citations per year

Countries citing papers authored by L.B. Jack

Since Specialization
Citations

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

Fields of papers citing papers by L.B. Jack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.B. Jack. 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 L.B. Jack. The network helps show where L.B. Jack may publish in the future.

Co-authors

The 7 scholars most cited alongside L.B. Jack, 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 L.B. Jack Line = papers co-authored together L.B. Jack links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2002316
2 2005169
3 2004107
4 2000103
5 200590
6 200189
7 199928
8 200827
9 199823
10 200619
11 200513
12
Feature selection for ANNs using genetic algorithms in condition monitoring.
19998
13 20043
14 20051
15
Automated novelty detection using a modified Kohonen self organizing map
20041
16 20010

About L.B. Jack

L.B. Jack is a scholar working on Control and Systems Engineering, Analytical Chemistry, Artificial Intelligence, Mechanical Engineering and Computer Networks and Communications, having authored 16 papers that have together received 997 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (8 papers), Machine Fault Diagnosis Techniques (5 papers), Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Advanced machining processes and optimization (3 papers), Gene expression and cancer classification (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Control and Systems Engineering (621 citations), Mechanical Engineering (367 citations), Artificial Intelligence (296 citations), Analytical Chemistry (66 citations) and Mechanics of Materials (149 citations). L.B. Jack has collaborated with scholars based in United Kingdom, Nepal and Malaysia. Frequent co-authors include Asoke Kumar Nandi, Hong Guo, Liang Zhang, M. L. Dennis Wong, Andrew C. McCormick, Sameh A. Salem and Liang Zhang. Their work appears in journals such as Mechanical Systems and Signal Processing, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, IEEE Transactions on NanoBioscience, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and IEE Proceedings - Vision Image and Signal Processing.

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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