Bavani Kannan

1.5k citations
28 papers · 1.0k indexed · 1 hit paper · h-index 13
Topics
Robotics and Sensor-Based Localization (7 papers)Robotic Path Planning Algorithms (6 papers)AI-based Problem Solving and Planning (4 papers)
Partner nations
United StatesIndiaBrazil

In The Last Decade

Bavani Kannan

26 papers receiving 967 citations

Hit Papers

An Augmented Lagrange Multiplier Based Method for Mixed I...19942026200420151994200400600

Peers

Bavani Kannan
Comparison fields: 5 of 77
  • Artificial Intelligence 625
  • Computational Theory and Mathematics 457
  • Computer Vision and Pattern Recognition 166
  • Computer Networks and Communications 154
  • Mechanical Engineering 122
Replace Yiying Zhang with:
Yiying Zhang China
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Citations per field
00.5×20×40×65×
Yiying Zhang · 1×
Citations per year

Countries citing papers authored by Bavani Kannan

Since Specialization
Citations

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

Fields of papers citing papers by Bavani Kannan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bavani Kannan

This figure shows the co-authorship network connecting the top 25 collaborators of Bavani Kannan. A scholar is included among the top collaborators of Bavani Kannan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bavani Kannan. Bavani Kannan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 2
4 1
5
Applying Adaptive Control in Modeling Human Motion Behaviors in Reinforcement Robotic Learning from Demonstrations.
1
6 13
7
Disease Analysis Using Tongue Image
4
8 17
9 14
10 1
11 5
12 35
13 10
14
LeaF: A Learning-based Fault Diagnostic System for Multi-Robot Teams
1
15
Fault-Tolerance Based Metrics for Evaluating System Performance in Multi-Robot Teams
13
16 15
17 59
18 38
19
An Augmented Lagrange Multiplier Based Method for Mixed Integer Discrete Continuous Optimization and Its Applications to Mechanical Designbreakdown →
604
20 54

About Bavani Kannan

Bavani Kannan is a scholar working on Computer Vision and Pattern Recognition, Software and Industrial and Manufacturing Engineering, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (6 papers) and AI-based Problem Solving and Planning (4 papers). The work is most often cited by research in Computational Theory and Mathematics (457 citations), Artificial Intelligence (625 citations) and Computer Vision and Pattern Recognition (166 citations). Bavani Kannan has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include S. N. Kramer, Lynne E. Parker, M. Bernardine Dias, Fang Tang, Mike Bailey, Huan Tan, Brett Browning, Anthony Stentz, G. Ayorkor Korsah and Ying Mao. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Materials Processing Technology and Journal of Mechanical Design.

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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