Sundeep Pattem
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering top 10%
- Ocean Engineering top 5%
- Computational Mechanics
- Computer Vision and Pattern Recognition
- Co-authors
- Bhaskar KrishnamachariKristina LermanAram GalstyanAntonio OrtegaGaurav S. SukhatmeSameera PoduriRamesh GovindanGodwin Shen
- Topics
- Energy Efficient Wireless Sensor Networks (11 papers)Advanced Data Compression Techniques (4 papers)Sparse and Compressive Sensing Techniques (3 papers)
- Journals
- ACM SIGCOMM Computer Communication ReviewIEEE Transactions on Mobile ComputingACM Transactions on Sensor Networks
- Partner nations
- United StatesIrelandIsrael
In The Last Decade
Sundeep Pattem
12 papers receiving 500 citations
Peers
Comparison fields: 5 of 38
- Computer Networks and Communications 395
- Electrical and Electronic Engineering 351
- Ocean Engineering 154
- Computational Mechanics 58
- Computer Vision and Pattern Recognition 52
Countries citing papers authored by Sundeep Pattem
This map shows the geographic impact of Sundeep Pattem'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 Sundeep Pattem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sundeep Pattem more than expected).
Fields of papers citing papers by Sundeep Pattem
This network shows the impact of papers produced by Sundeep Pattem. 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 Sundeep Pattem. The network helps show where Sundeep Pattem may publish in the future.
Co-authorship network of co-authors of Sundeep Pattem
This figure shows the co-authorship network connecting the top 25 collaborators of Sundeep Pattem. A scholar is included among the top collaborators of Sundeep Pattem 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 Sundeep Pattem. Sundeep Pattem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 13 | |
| 3 | 37 | |
| 4 | Novel distributed wavelet transforms and routing algorithms for efficient data gathering in sensor webs | 5 |
| 5 | 11 | |
| 6 | Sensor Network Configuration and the Curse of Dimensionality | 49 |
| 7 | 16 | |
| 8 | 101 | |
| 9 | A Unifying Framework for Tunable Topology Control in Sensor Networks | 8 |
| 10 | 185 | |
| 11 | 56 | |
| 12 | 10 |
About Sundeep Pattem
Sundeep Pattem is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 12 papers that have together received 534 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (11 papers), Advanced Data Compression Techniques (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (395 citations), Ocean Engineering (154 citations) and Electrical and Electronic Engineering (351 citations). Sundeep Pattem has collaborated with scholars based in United States, Ireland and Israel. Frequent co-authors include Bhaskar Krishnamachari, Kristina Lerman, Aram Galstyan, Antonio Ortega, Gaurav S. Sukhatme, Sameera Poduri, Ramesh Govindan, Godwin Shen, Marco Zúñiga and Chen Avin. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, IEEE Transactions on Mobile Computing and ACM Transactions on Sensor Networks.
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.