B. Bavarian

661 citations
35 papers · 386 · h-index 9

Impact in

Papers in

B. Bavarian

27 papers receiving 355 citations

Peers

B. Bavarian
Comparison fields: 5 of 77
  • Artificial Intelligence 215
  • Control and Systems Engineering 117
  • Industrial and Manufacturing Engineering 45
  • Computer Vision and Pattern Recognition 88
  • Signal Processing 31
Replace Z.-P. Lo with:
Z.-P. Lo United States
Ming-Shong Lan United States
Xinyan Li China
Honghua Rao China
Changsheng Wen China
Zeinab Montazeri Iran
Fengqin Yang China
Simon Wiedemann Germany
Lingjie Li China
B. Bavarian relative to Z.-P. Lo United States Z.-P. Lo's profile →
Citations per field
00.5×1.5×
Z.-P. Lo · 1×
Citations per year

Countries citing papers authored by B. Bavarian

Since Specialization
Citations

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

Fields of papers citing papers by B. Bavarian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside B. Bavarian, 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 B. Bavarian Line = papers co-authored together B. Bavarian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988100
2 199170
3 199359
4
DEVELOPMENT OF AN INTELLIGENT SYSTEM FOR AUTOMATED PAVEMENT EVALUATION
199128
5 199317
6 200216
7 200214
8 199111
9 198311
10 19928
11 20028
12 20027
13 20025
14 20024
15 20094
16 19904
17 19923
18 20023
19 20033
20 20032

About B. Bavarian

B. Bavarian is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications and Signal Processing, having authored 35 papers that have together received 386 indexed citations. Recurring topics across this work include Neural Networks and Applications (19 papers), Image and Signal Denoising Methods (7 papers), Fuzzy Logic and Control Systems (6 papers), Robotic Path Planning Algorithms (4 papers), Adaptive Control of Nonlinear Systems (4 papers), Scheduling and Optimization Algorithms (3 papers), Control Systems and Identification (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Artificial Intelligence (215 citations), Control and Systems Engineering (117 citations), Industrial and Manufacturing Engineering (45 citations), Computer Vision and Pattern Recognition (88 citations) and Signal Processing (31 citations). B. Bavarian has collaborated with scholars based in United States. Frequent co-authors include Z.-P. Lo, Yaming Yu, Stephen G. Ritchie, Mohamed Kaseko, Mikiko Fujita, H. Hemami, Bostwick F. Wyman, Aaron T. Kuan, C.B. Ahn and Weihua Chu. Their work appears in journals such as IEEE Transactions on Medical Imaging, Biological Cybernetics, Pattern Recognition Letters, International Journal of Control and Computers & Electrical Engineering.

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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