Bavani Kannan

1.5k total citations · 1 hit paper
28 papers, 1.0k citations indexed

About

Bavani Kannan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Bavani Kannan has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Bavani Kannan's work include Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (6 papers) and AI-based Problem Solving and Planning (4 papers). Bavani Kannan is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (6 papers) and AI-based Problem Solving and Planning (4 papers). Bavani Kannan collaborates with scholars based in United States, India and Brazil. Bavani Kannan's co-authors include S. N. Kramer, Lynne E. Parker, M. Bernardine Dias, Fang Tang, Mike Bailey, Huan Tan, Brett Browning, G. Ayorkor Korsah, Anthony Stentz and Ying Mao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Materials Processing Technology and Journal of Mechanical Design.

In The Last Decade

Bavani Kannan

26 papers receiving 967 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An Augmented Lagrange Multiplier Based Method for Mixed Integer Discrete Continuous Optimization and Its Applications to Mechanical Design

1994 604 citations Bavani Kannan, S. N. Kramer profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bavani Kannan United States	13	625	457	166	154	122	28	1.0k
K.N. Krishnanand India	9	546 0.9×	185 0.4×	144 0.9×	216 1.4×	76 0.6×	13	999
Mohammed Jameel Yemen	9	714 1.1×	351 0.8×	183 1.1×	96 0.6×	51 0.4×	19	1.3k
Anas A. Hadi Egypt	12	990 1.6×	558 1.2×	143 0.9×	72 0.5×	35 0.3×	20	1.4k
Dawei Zhan China	11	304 0.5×	371 0.8×	76 0.5×	94 0.6×	63 0.5×	21	854
Zeinab Montazeri Iran	16	641 1.0×	306 0.7×	107 0.6×	87 0.6×	38 0.3×	18	1.1k
Yiying Zhang China	16	686 1.1×	263 0.6×	107 0.6×	67 0.4×	46 0.4×	23	1.1k
Antonio Rodríguez-Díaz Mexico	15	792 1.3×	341 0.7×	102 0.6×	75 0.5×	61 0.5×	46	1.5k
Ahmad Nickabadi Iran	9	503 0.8×	205 0.4×	191 1.2×	70 0.5×	35 0.3×	31	906
Zhenyu Meng China	22	1.4k 2.2×	880 1.9×	111 0.7×	109 0.7×	37 0.3×	67	1.8k
Priyanka Anand India	14	747 1.2×	249 0.5×	192 1.2×	77 0.5×	45 0.4×	37	1.2k

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

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20 of 20 papers shown

Kannan, Bavani, et al.. (2023). Rescue Wear the Cutting Edge Wearable Technology for Emergency Operations. SHILAP Revista de lepidopterología. 387. 1010–1010.

Kannan, Bavani, et al.. (2020). SMART FARMING FIELD OBSERVATION USING EMBEDDED SYSTEMS. SSRN Electronic Journal. 11(4). 2 indexed citations

Kannan, Bavani, et al.. (2018). Market-based Coordination of Recharging Robots. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations

Tan, Huan, et al.. (2016). Applying Adaptive Control in Modeling Human Motion Behaviors in Reinforcement Robotic Learning from Demonstrations.. National Conference on Artificial Intelligence. 1 indexed citations

Reardon, Christopher, et al.. (2015). Towards safe robot-human collaboration systems using human pose detection. 1–6. 13 indexed citations

Tan, Huan, et al.. (2015). Human-Supervisory Distributed Robotic System Architecture for Healthcare Operation Automation. 133–138. 2 indexed citations

Xu, Yi, et al.. (2014). A vision-guided robot manipulator for surgical instrument singulation in a cluttered environment. 3517–3523. 9 indexed citations

Kannan, Bavani, et al.. (2013). Disease Analysis Using Tongue Image. 2(4). 4 indexed citations

Kannan, Bavani, et al.. (2013). Mapping planetary caves with an autonomous, heterogeneous robot team. Digital Commons - University of South Florida (University of South Florida). 1–13. 17 indexed citations

10.

Kannan, Bavani, Felipe Meneguzzi, M. Bernardine Dias, & Katia Sycara. (2013). Predictive indoor navigation using commercial smart-phones. Figshare. 519–525. 14 indexed citations

11.

Kannan, Bavani, et al.. (2013). Fault scanning and repairing in processor based system using dynamic reconfiguration. 58. 120–124. 1 indexed citations

12.

Scerri, Paul, Prasanna Velagapudi, Bavani Kannan, et al.. (2012). Real-world testing of a multi-robot team. Adaptive Agents and Multi-Agents Systems. 1213–1214. 5 indexed citations

13.

Korsah, G. Ayorkor, Bavani Kannan, Brett Browning, Anthony Stentz, & M. Bernardine Dias. (2012). xBots: An approach to generating and executing optimal multi-robot plans with cross-schedule dependencies. Figshare. 35 indexed citations

14.

Kannan, Bavani & Lynne E. Parker. (2007). Metrics for quantifying system performance in intelligent, fault-tolerant multi-robot teams. 951–958. 10 indexed citations

15.

Kannan, Bavani. (2007). LeaF: A Learning-based Fault Diagnostic System for Multi-Robot Teams. 1 indexed citations

16.

Kannan, Bavani & Lynne E. Parker. (2006). Fault-Tolerance Based Metrics for Evaluating System Performance in Multi-Robot Teams. 13 indexed citations

17.

Parker, Lynne E. & Bavani Kannan. (2006). Adaptive Causal Models for Fault Diagnosis and Recovery in Multi-Robot Teams. 2703–2710. 15 indexed citations

18.

Parker, Lynne E., Bavani Kannan, Fang Tang, & Mike Bailey. (2005). Tightly-coupled navigation assistance in heterogeneous multi-robot teams. 1. 1016–1022. 59 indexed citations

19.

Parker, Lynne E., et al.. (2004). Heterogeneous mobile sensor net deployment using robot herding and line-of-sight formations. 3. 2488–2493. 38 indexed citations

20.

Kannan, Bavani & S. N. Kramer. (1993). An Augmented Lagrange Multiplier Based Method for Mixed Integer Discrete Continuous Optimization and its Applications to Mechanical Design. 103–112. 54 indexed citations

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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