Srinivas Akella

57 papers receiving 1.4k citations

Peers

Srinivas Akella
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 565
  • Control and Systems Engineering 444
  • Computer Graphics and Computer-Aided Design 58
  • Industrial and Manufacturing Engineering 143
  • Biomedical Engineering 449
Replace Lijun Zhao with:
Lijun Zhao China
Giovanni Ulivi Italy
Marilena Vendittelli Italy
José Luis Sánchez-López Luxembourg
Bhaskar Dasgupta India
Fei Zhao China
Yoshihiro Kawai Japan
Zhiqiang Cao China
David C. Gossard United States
Mehdi Tale Masouleh Iran
Srinivas Akella relative to Lijun Zhao China Lijun Zhao's profile →
Citations per field
00.5×5.8×
Lijun Zhao · 1×
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

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021168
2 2005161
3 2006123
4 200388
5 200074
6 199873
7 201468
8 200059
9 200951
10 200539
11 200338
12 200832
13 201028
14 200225
15 201122
16 200020
17 199920
18 200619
19 200118
20 200716

About Srinivas Akella

Srinivas Akella is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Mechanical Engineering, Aerospace Engineering and Biomedical Engineering, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (28 papers), Robot Manipulation and Learning (15 papers), Modular Robots and Swarm Intelligence (14 papers), Robotic Mechanisms and Dynamics (14 papers), Manufacturing Process and Optimization (8 papers), Electrowetting and Microfluidic Technologies (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 (565 citations), Control and Systems Engineering (444 citations), Computer Graphics and Computer-Aided Design (58 citations), Industrial and Manufacturing Engineering (143 citations) and Biomedical Engineering (449 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, Wesley Huang, Lingzhi Luo and Nilanjan Chakraborty. 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 Algorithmica.

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.

Explore authors with similar magnitude of impact