Srinivas Akella

56 papers receiving 1.3k citations

Peers

Srinivas Akella
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 555
  • Control and Systems Engineering 440
  • Computer Graphics and Computer-Aided Design 57
  • Industrial and Manufacturing Engineering 144
  • Biomedical Engineering 452
Replace Lijun Zhao with:
Lijun Zhao China
Giovanni Ulivi Italy
Marilena Vendittelli Italy
José Luis Sánchez-López Luxembourg
Bhaskar Dasgupta India
Fei Zhao China
Huihuan Qian China
Zhiqiang Cao China
Yoshihiro Kawai Japan
Marco Cusumano-Towner United States
Srinivas Akella relative to Lijun Zhao China Lijun Zhao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Srinivas Akella

Since Specialization
Citations

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

Fields of papers citing papers by Srinivas Akella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20242
3 20231
4 20231
5 202212
6 2021165
7 20162
8 201415
9 201312
10 201311
11 20124
12 200951
13 200712
14 2006123
15 2005160
16 20032
17 20027
18 200118
19 200020
20 199920

About Srinivas Akella

Srinivas Akella is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Control and Systems Engineering and General Dentistry, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (27 papers), Robot Manipulation and Learning (15 papers), Modular Robots and Swarm Intelligence (14 papers), Robotic Mechanisms and Dynamics (13 papers), Electrowetting and Microfluidic Technologies (8 papers), Manufacturing Process and Optimization (8 papers), Robotics and Sensor-Based Localization (8 papers) and Computational Geometry and Mesh Generation (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (555 citations), Control and Systems Engineering (440 citations), Computer Graphics and Computer-Aided Design (57 citations), Industrial and Manufacturing Engineering (144 citations) and Biomedical Engineering (452 citations). Srinivas Akella has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Matthew T. Mason, Eric J. Griffith, Seth Hutchinson, Mark Goldberg, Junjie Shan, Liang Lu, Kevin Lynch, Lingzhi Luo, Nilanjan Chakraborty and Wesley Huang. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and Journal of the American Chemical Society.

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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