Raghu Ganti

4.3k citations
64 papers · 3.0k indexed · 1 hit paper · h-index 21

Raghu Ganti

63 papers receiving 2.9k citations

Hit Papers

Mobile crowdsensing: current state and future challenges1.5k20112026201620214008001.2k

Peers

Raghu Ganti
Comparison fields: 5 of 99
  • Computer Science Applications 1.7k
  • Transportation 1.0k
  • Computer Networks and Communications 864
  • Artificial Intelligence 833
  • Computer Vision and Pattern Recognition 354
Replace Sasank Reddy with:
Sasank Reddy United States
Prashanth Mohan United States
Qi Han United States
Yongjian Yang China
Shane B. Eisenman United States
Runhe Huang Japan
Ramachandran Ramjee United States
Hojung Cha South Korea
Yu Xiao Finland
Raghu Ganti relative to Sasank Reddy United States Sasank Reddy's profile →
Citations per field
00.5×3.7×
Sasank Reddy · 1×
Citations per year

Countries citing papers authored by Raghu Ganti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Raghu Ganti, 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 Raghu Ganti Line = papers co-authored together Raghu Ganti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20201
3 20191
4 20171
5 20173
6 201715
7 201630
8 20161
9
Pyro: a spatial-temporal big-data storage system
201518
10 20144
11 201439
12 201316
13 201332
14 20133
15
Proceedings of the Second ACM Workshop on Mobile Systems, Applications, and Services for HealthCare
20122
16
Input Variable Selection for Hydrologic Modeling Using Anns
20111
17
DustDoctor: A self-healing sensor data collection system
20115
18 201051
19 2010246
20 200718

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), Data Management and Algorithms (13 papers), Context-Aware Activity Recognition Systems (6 papers), Anomaly Detection Techniques and Applications (6 papers), Indoor and Outdoor Localization Technologies (5 papers), Caching and Content Delivery (5 papers) and Opportunistic and Delay-Tolerant Networks (5 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 Transactions on Mobile Computing, Pervasive and Mobile Computing, IEEE Geoscience and Remote Sensing Magazine, IEEE Transactions on Services 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.

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