Anuroop Gaddam
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- IoT and Edge/Fog Computing 8
- Energy Efficient Wireless Sensor Networks 6
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- Context-Aware Activity Recognition Systems 17
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 4
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- Time Series Analysis and Forecasting 2
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- Water Quality Monitoring Technologies 2
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- IoT-based Smart Home Systems 13
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- Smart Agriculture and AI 3
- Co-authors
- Subhas Chandra MukhopadhyayGourab Sen GuptaTim WilkinMaia AngelovaRamesh RayuduNagender Kumar SuryadevaraHans W. GuesgenMohammad Reza Nosouhi
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- Electronics (1 paper)IEEE Sensors Journal (1 paper)Sensors and Actuators A Physical (1 paper)
- Partner nations
- New ZealandAustraliaIndia
In The Last Decade
Anuroop Gaddam
26 papers receiving 495 citations
Peers
Comparison fields: 5 of 85
- Computer Networks and Communications 225
- Computer Vision and Pattern Recognition 199
- Artificial Intelligence 123
- Signal Processing 40
- Water Science and Technology 38
Countries citing papers authored by Anuroop Gaddam
This map shows the geographic impact of Anuroop Gaddam'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 Anuroop Gaddam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuroop Gaddam more than expected).
Fields of papers citing papers by Anuroop Gaddam
This network shows the impact of papers produced by Anuroop Gaddam. 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 Anuroop Gaddam. The network helps show where Anuroop Gaddam may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Anuroop Gaddam, 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 | 2023 | 3 | |
| 2 | 2020 | 9 | |
| 3 | 2019 | 21 | |
| 4 | 2014 | 20 | |
| 5 | 2014 | 15 | |
| 6 | 2012 | 67 | |
| 7 | 2011 | 10 | |
| 8 | 2011 | 20 | |
| 9 | 2011 | 11 | |
| 10 | Smart home for elderly care using optimized number of wireless sensors | 2010 | 1 |
| 11 | 2010 | 8 | |
| 12 | 2010 | 10 | |
| 13 | 2010 | 19 | |
| 14 | 2010 | 76 | |
| 15 | 2009 | 5 | |
| 16 | 2008 | 11 | |
| 17 | 2008 | 23 | |
| 18 | 2008 | 27 | |
| 19 | 2008 | 5 | |
| 20 | 2008 | 13 |
About Anuroop Gaddam
Anuroop Gaddam is a scholar working on Computer Vision and Pattern Recognition, Architecture, Computer Networks and Communications, Human-Computer Interaction and Physical Therapy, Sports Therapy and Rehabilitation, having authored 26 papers that have together received 526 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (17 papers), IoT-based Smart Home Systems (13 papers), IoT and Edge/Fog Computing (8 papers), Energy Efficient Wireless Sensor Networks (6 papers), Anomaly Detection Techniques and Applications (4 papers), Smart Agriculture and AI (3 papers), Water Quality Monitoring Technologies (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Computer Networks and Communications (225 citations), Computer Vision and Pattern Recognition (199 citations), Artificial Intelligence (123 citations), Signal Processing (40 citations) and Water Science and Technology (38 citations). Anuroop Gaddam has collaborated with scholars based in New Zealand, Australia and India. Frequent co-authors include Subhas Chandra Mukhopadhyay, Gourab Sen Gupta, Tim Wilkin, Maia Angelova, Ramesh Rayudu, Nagender Kumar Suryadevara, Hans W. Guesgen, Mohammad Reza Nosouhi, Keshav Sood and Bohao Feng. Their work appears in journals such as Electronics, IEEE Sensors Journal, Sensors and Actuators A Physical, IEEE Transactions on Dependable and Secure Computing and International Journal on Smart Sensing and Intelligent Systems.
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.