Shirshanka Das
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Management Science and Operations Research
- Information Systems and Management
- Co-authors
- Mário GerlaAlok NandanGiovanni PauSaurabh TewariLeonard KleinrockMaria FazioClaudio E. PalazziBiao Zhou
- Topics
- Peer-to-Peer Network Technologies (6 papers)Caching and Content Delivery (5 papers)Opportunistic and Delay-Tolerant Networks (4 papers)
- Journals
- Proceedings of the VLDB EndowmentPadua Research Archive (University of Padova)HAL (Le Centre pour la Communication Scientifique Directe)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Shirshanka Das
13 papers receiving 263 citations
Peers
Comparison fields: 5 of 28
- Computer Networks and Communications 251
- Electrical and Electronic Engineering 132
- Information Systems 53
- Management Science and Operations Research 28
- Information Systems and Management 24
Countries citing papers authored by Shirshanka Das
This map shows the geographic impact of Shirshanka Das'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 Shirshanka Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shirshanka Das more than expected).
Fields of papers citing papers by Shirshanka Das
This network shows the impact of papers produced by Shirshanka Das. 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 Shirshanka Das. The network helps show where Shirshanka Das may publish in the future.
Co-authorship network of co-authors of Shirshanka Das
This figure shows the co-authorship network connecting the top 25 collaborators of Shirshanka Das. A scholar is included among the top collaborators of Shirshanka Das 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 Shirshanka Das. Shirshanka Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Ground: A Data Context Service. | 39 |
| 2 | 12 | |
| 3 | 25 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 27 | |
| 7 | 22 | |
| 8 | 24 | |
| 9 | AdTorrent: Delivering Location Cognizant Advertisements to Car Networks | 55 |
| 10 | AdTorrent: Digital Billboards for Vehicular Networks | 39 |
| 11 | 34 | |
| 12 | 4 | |
| 13 | 1 |
About Shirshanka Das
Shirshanka Das is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Information Systems and Management, having authored 13 papers that have together received 290 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (6 papers), Caching and Content Delivery (5 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (251 citations), Information Systems and Management (24 citations) and Information Systems (53 citations). Shirshanka Das has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Mário Gerla, Alok Nandan, Giovanni Pau, Saurabh Tewari, Leonard Kleinrock, Maria Fazio, Claudio E. Palazzi, Biao Zhou, Chavdar Botev and Eric Sun. Their work appears in journals such as Proceedings of the VLDB Endowment, Padua Research Archive (University of Padova) and HAL (Le Centre pour la Communication Scientifique Directe).
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.