Sajal K. Das
- Computer Networks and Communications top 0.01%
- Mobile Ad Hoc Networks 156
- Energy Efficient Wireless Sensor Networks 148
- Opportunistic and Delay-Tolerant Networks 100
- Wireless Communication Networks Research 99
- Wireless Networks and Protocols 77
- Caching and Content Delivery 58
- Computer Science Applications top 0.2%
-
- Advanced Wireless Network Optimization 79
- Transportation top 0.5%
- Hardware and Architecture top 0.5%
-
- Context-Aware Activity Recognition Systems 60
- Co-authors
- Diane J. CookDamla TurgutMainak ChatterjeeKalyan BasuHabib M. AmmariYonghe LiuAmiya BhattacharyaMario Di Francesco
- Cited by
- Computer Networks and CommunicationsComputer Science ApplicationsElectrical and Electronic Engineering
- Journals
- Nucleic Acids Research (1 paper)Scientific Reports (1 paper)Trends in Plant Science (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Sajal K. Das
866 papers receiving 20.1k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Computer Networks and Communications 15.4k
- Computer Science Applications 1.0k
- Electrical and Electronic Engineering 8.6k
- Transportation 917
- Hardware and Architecture 826
Countries citing papers authored by Sajal K. Das
This map shows the geographic impact of Sajal K. 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 Sajal K. Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajal K. Das more than expected).
Fields of papers citing papers by Sajal K. Das
This network shows the impact of papers produced by Sajal K. 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 Sajal K. Das. The network helps show where Sajal K. Das may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sajal K. Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 24 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 75 | |
| 16 | 2021 | 42 | |
| 17 | 2021 | 10 | |
| 18 | 2021 | 16 | |
| 19 | 2015 | 10 | |
| 20 | 2003 | 35 |
About Sajal K. Das
Sajal K. Das is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Science Applications, having authored 911 papers that have together received 21.4k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (156 papers), Energy Efficient Wireless Sensor Networks (148 papers), Opportunistic and Delay-Tolerant Networks (100 papers), Wireless Communication Networks Research (99 papers), Advanced Wireless Network Optimization (79 papers), Wireless Networks and Protocols (77 papers), Context-Aware Activity Recognition Systems (60 papers) and Caching and Content Delivery (58 papers). The work is most often cited by research in Computer Networks and Communications (15.4k citations), Computer Science Applications (1.0k citations) and Electrical and Electronic Engineering (8.6k citations). Sajal K. Das has collaborated with scholars based in United States, China and India. Frequent co-authors include Diane J. Cook, Damla Turgut, Mainak Chatterjee, Kalyan Basu, Habib M. Ammari, Yonghe Liu, Amiya Bhattacharya, Mario Di Francesco, Giuseppe Anastasi and Amitabha Ghosh. Their work appears in journals such as Nucleic Acids Research, Scientific Reports and Trends in Plant Science.
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.