Sameera Ponda

1.2k citations
24 papers · 899 · h-index 14

Impact in

Papers in

Sameera Ponda

24 papers receiving 875 citations

Peers

Sameera Ponda
Comparison fields: 5 of 81
  • Computer Networks and Communications 474
  • Aerospace Engineering 403
  • Computer Vision and Pattern Recognition 243
  • Structural Biology 9
  • Artificial Intelligence 209
Replace Chen Huang with:
Chen Huang China
C.R. Weisbin United States
Stefan Bieniawski United States
Jonathan Rogers United States
Oleg Burdakov Sweden
Yunfeng Shao China
Patrick Vandewalle Belgium
J. Balaram United States
Gianluca Furano Netherlands
Sameera Ponda relative to Chen Huang China Chen Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sameera Ponda

Since Specialization
Citations

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

Fields of papers citing papers by Sameera Ponda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Sameera Ponda, 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 Sameera Ponda Line = papers co-authored together Sameera Ponda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020175
2 2009122
3 201095
4 201270
5 201060
6 201155
7 201449
8 201144
9 201341
10 201232
11 201232
12 201023
13 201722
14 201222
15 201411
16 201310
17 201110
18 20119
19 20118
20
Planning under Uncertainty using Nonparametric Bayesian Models
20122

About Sameera Ponda

Sameera Ponda is a scholar working on Computer Networks and Communications, Aerospace Engineering, Artificial Intelligence, Mechanical Engineering and Management Science and Operations Research, having authored 24 papers that have together received 899 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (14 papers), UAV Applications and Optimization (7 papers), Modular Robots and Swarm Intelligence (4 papers), Mobile Ad Hoc Networks (3 papers), Robotic Path Planning Algorithms (3 papers), Optimization and Search Problems (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers) and Target Tracking and Data Fusion in Sensor Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (474 citations), Aerospace Engineering (403 citations), Computer Vision and Pattern Recognition (243 citations), Structural Biology (9 citations) and Artificial Intelligence (209 citations). Sameera Ponda has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Jonathan P. How, Luke B. Johnson, Han‐Lim Choi, Emilio Frazzoli, Subhodeep Moitra, Salvatore Candido, Marc G. Bellemare, Pablo Samuel Castro, Jun Gong and Ziyu Wang. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Nature, Unmanned Systems, Optics Express and Journal of Aerospace Information Systems.

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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