Michael Packianather

2.6k citations
150 papers · 1.9k · 1 hit paper · h-index 24

Impact in

Papers in

Michael Packianather

135 papers receiving 1.9k citations

Michael Packianather's Hit Papers

Empowering LLMs by hybrid retrieval-augmented generation for domain-centric Q&A in smart manufacturing 2025 · 24 citations
240Years since publication5101520

Peers

Michael Packianather
Comparison fields: 5 of 136
  • Industrial and Manufacturing Engineering 456
  • Control and Systems Engineering 463
  • Automotive Engineering 188
  • Mechanical Engineering 512
  • Artificial Intelligence 378
Replace David Naso with:
David Naso Italy
Ebubekir Koç Türkiye
J. Balič Slovenia
Jie Dong China
Rubiyah Yusof Malaysia
Jerker Delsing Sweden
Ming Zhang China
Weihang Zhu United States
Mohd Fauzi Othman Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Michael Packianather

Since Specialization
Citations

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

Fields of papers citing papers by Michael Packianather

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Packianather, 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 Michael Packianather Line = papers co-authored together Michael Packianather links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006159
2 2013150
3 200699
4 200682
5 200076
6 201963
7 201447
8 201345
9 202144
10 202435
11 201934
12 199834
13 201734
14 202130
15 201430
16 201927
17 200026
18 202226
19 202425
20 200925

About Michael Packianather

Michael Packianather is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Mechanical Engineering, having authored 150 papers that have together received 1.9k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (17 papers), Machine Fault Diagnosis Techniques (15 papers), Manufacturing Process and Optimization (14 papers), Advanced machining processes and optimization (10 papers), Scheduling and Optimization Algorithms (9 papers), Microgrid Control and Optimization (9 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Frequency Control in Power Systems (9 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (456 citations), Control and Systems Engineering (463 citations), Automotive Engineering (188 citations), Mechanical Engineering (512 citations) and Artificial Intelligence (378 citations). Michael Packianather has collaborated with scholars based in United Kingdom, Vietnam and Italy. Frequent co-authors include Fatih Anayi, Duc Truong Pham, C. A. Griffiths, Barış Yüce, Stefan Dimov, Ernesto Mastrocinque, Paul R. Drake, Alfredo Lambiase, Mokhtar Shouran and Chi Hieu Le. Their work appears in journals such as Energies, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, Sustainability, The International Journal of Advanced Manufacturing Technology and Production & Manufacturing Research.

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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