Radu F. Babiceanu

1.9k citations
52 papers · 1.2k indexed · 2 hit papers · h-index 15

Radu F. Babiceanu

46 papers receiving 1.2k citations

Hit Papers

Deep CNN-based visual de...822016202620192022100200300

Peers

Radu F. Babiceanu
Comparison fields: 5 of 87
  • Industrial and Manufacturing Engineering 660
  • Management Information Systems 237
  • Strategy and Management 216
  • Management of Technology and Innovation 99
  • Computer Networks and Communications 164
Replace Zhiheng Zhao with:
Zhiheng Zhao China
Hao Luo China
Fadi Shrouf Italy
Young B. Moon United States
Xudong Chai China
André Thomas France
Theodor Borangiu Romania
Lifeng Zhou United States
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Radu F. Babiceanu relative to Zhiheng Zhao China Zhiheng Zhao's profile →
Citations per field
00.5×6.8×
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Citations per year

Countries citing papers authored by Radu F. Babiceanu

Since Specialization
Citations

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

Fields of papers citing papers by Radu F. Babiceanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radu F. Babiceanu. 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 Radu F. Babiceanu. The network helps show where Radu F. Babiceanu may publish in the future.

Co-authorship network

The 22 scholars most cited alongside Radu F. Babiceanu, 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 Radu F. Babiceanu Line = papers co-authored together Radu F. Babiceanu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 20240
5
Deep CNN-based visual defect detection: Survey of current literaturebreakdown →
202382
6 20231
7 20181
8 201773
9 20174
10 201710
11 201619
12 20152
13 201555
14 20142
15 20123
16 20102
17 2009141
18 2006176
19 20054
20 200533

About Radu F. Babiceanu

Radu F. Babiceanu is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Software, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (9 papers), Risk and Safety Analysis (8 papers), Scheduling and Optimization Algorithms (6 papers), Smart Grid Security and Resilience (4 papers), RFID technology advancements (4 papers), Flexible and Reconfigurable Manufacturing Systems (4 papers), Adversarial Robustness in Machine Learning (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (660 citations), Management Information Systems (237 citations) and Strategy and Management (216 citations). Radu F. Babiceanu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Remzi Seker, F. Frank Chen, Sri Krishna Kumar, Manoj Kumar Tiwari, Robert H. Sturges, F. Frank Chen, Λέανδρος Μαγλαράς, Nuri Yilmazer, Haider R. Khaleel and Hussain M. Al‐Rizzo. Their work appears in journals such as Computers in Industry, Transactions on Emerging Telecommunications Technologies, Journal of Intelligent Manufacturing, International Journal of Production Research and Robotics and Computer-Integrated Manufacturing.

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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