Raghu Ganti
- Computer Science Applications top 0.05%
- Transportation top 0.2%
- Computer Networks and Communications top 1%
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Hui LeiFan YeTarek AbdelzaherNam PhamHossein AhmadiMudhakar SrivatsaSaurabh NangiaPraveen Jayachandran
- Topics
- Mobile Crowdsensing and Crowdsourcing (20 papers)Human Mobility and Location-Based Analysis (19 papers)Data Management and Algorithms (13 papers)
- Journals
- IEEE Communications MagazineFuture Generation Computer SystemsIEEE Transactions on Mobile Computing
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Raghu Ganti
63 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Science Applications 1.7k
- Transportation 1.0k
- Computer Networks and Communications 864
- Artificial Intelligence 833
- Electrical and Electronic Engineering 755
Countries citing papers authored by Raghu Ganti
This map shows the geographic impact of Raghu Ganti'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 Raghu Ganti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghu Ganti more than expected).
Fields of papers citing papers by Raghu Ganti
This network shows the impact of papers produced by Raghu Ganti. 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 Raghu Ganti. The network helps show where Raghu Ganti may publish in the future.
Co-authorship network of co-authors of Raghu Ganti
This figure shows the co-authorship network connecting the top 25 collaborators of Raghu Ganti. A scholar is included among the top collaborators of Raghu Ganti 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 Raghu Ganti. Raghu Ganti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | 30 | |
| 8 | 1 | |
| 9 | Pyro: a spatial-temporal big-data storage system | 18 |
| 10 | 4 | |
| 11 | 39 | |
| 12 | 16 | |
| 13 | 32 | |
| 14 | 3 | |
| 15 | Proceedings of the Second ACM Workshop on Mobile Systems, Applications, and Services for HealthCare | 2 |
| 16 | Input Variable Selection for Hydrologic Modeling Using Anns | 1 |
| 17 | DustDoctor: A self-healing sensor data collection system | 5 |
| 18 | 51 | |
| 19 | 246 | |
| 20 | 18 |
About Raghu Ganti
Raghu Ganti is a scholar working on Computer Science Applications, Transportation and Signal Processing, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (20 papers), Human Mobility and Location-Based Analysis (19 papers) and Data Management and Algorithms (13 papers). The work is most often cited by research in Computer Science Applications (1.7k citations), Transportation (1.0k citations) and Computer Networks and Communications (864 citations). Raghu Ganti has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Hui Lei, Fan Ye, Tarek Abdelzaher, Nam Pham, Hossein Ahmadi, Mudhakar Srivatsa, Saurabh Nangia, Praveen Jayachandran, Lance Kaplan and John A. Stankovic. Their work appears in journals such as IEEE Communications Magazine, Future Generation Computer Systems and IEEE Transactions on Mobile Computing.
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.