Hemant Ghayvat
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Co-authors
- Subhas Chandra MukhopadhyaySharnil PandyaXiang GuiKirit ModiChirag PatelDulari BhattJigar PatelNagender Kumar Suryadevara
- Topics
- IoT-based Smart Home Systems (16 papers)IoT and Edge/Fog Computing (12 papers)Context-Aware Activity Recognition Systems (12 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- IndiaNew ZealandSweden
In The Last Decade
Hemant Ghayvat
57 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Computer Networks and Communications 550
- Computer Vision and Pattern Recognition 479
- Electrical and Electronic Engineering 434
- Artificial Intelligence 350
- Biomedical Engineering 230
Countries citing papers authored by Hemant Ghayvat
This map shows the geographic impact of Hemant Ghayvat'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 Hemant Ghayvat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hemant Ghayvat more than expected).
Fields of papers citing papers by Hemant Ghayvat
This network shows the impact of papers produced by Hemant Ghayvat. 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 Hemant Ghayvat. The network helps show where Hemant Ghayvat may publish in the future.
Co-authorship network of co-authors of Hemant Ghayvat
This figure shows the co-authorship network connecting the top 25 collaborators of Hemant Ghayvat. A scholar is included among the top collaborators of Hemant Ghayvat 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 Hemant Ghayvat. Hemant Ghayvat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 20 | |
| 7 | 3 | |
| 8 | 45 | |
| 9 | 14 | |
| 10 | CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scopebreakdown → | 513 |
| 11 | 5 | |
| 12 | 32 | |
| 13 | 69 | |
| 14 | 48 | |
| 15 | 62 | |
| 16 | 13 | |
| 17 | 31 | |
| 18 | Internet of Things for smart homes and buildings | 8 |
| 19 | 76 | |
| 20 | 3 |
About Hemant Ghayvat
Hemant Ghayvat is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Health Informatics, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (16 papers), IoT and Edge/Fog Computing (12 papers) and Context-Aware Activity Recognition Systems (12 papers). The work is most often cited by research in Computer Networks and Communications (550 citations), Computer Vision and Pattern Recognition (479 citations) and Artificial Intelligence (350 citations). Hemant Ghayvat has collaborated with scholars based in India, New Zealand and Sweden. Frequent co-authors include Subhas Chandra Mukhopadhyay, Sharnil Pandya, Xiang Gui, Kirit Modi, Chirag Patel, Dulari Bhatt, Jigar Patel, Nagender Kumar Suryadevara, Muhammad Awais and Wei Chen. Their work appears in journals such as Sensors, IEEE Transactions on Industrial Informatics and IEEE Internet of Things Journal.
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.