Devki Nandan Jha
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Rajiv RanjanSchahram DustdarPhilip JamesOmer RanaAlbert Y. ZomayaDeepak PuthalSaurabh GargPrem Prakash Jayaraman
- Topics
- IoT and Edge/Fog Computing (18 papers)Cloud Computing and Resource Management (13 papers)Software System Performance and Reliability (7 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaACM Computing SurveysComputer
- Partner nations
- United KingdomAustraliaChina
In The Last Decade
Devki Nandan Jha
26 papers receiving 519 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 387
- Information Systems 225
- Artificial Intelligence 96
- Electrical and Electronic Engineering 96
- Computer Vision and Pattern Recognition 89
Countries citing papers authored by Devki Nandan Jha
This map shows the geographic impact of Devki Nandan Jha'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 Devki Nandan Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devki Nandan Jha more than expected).
Fields of papers citing papers by Devki Nandan Jha
This network shows the impact of papers produced by Devki Nandan Jha. 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 Devki Nandan Jha. The network helps show where Devki Nandan Jha may publish in the future.
Co-authorship network of co-authors of Devki Nandan Jha
This figure shows the co-authorship network connecting the top 25 collaborators of Devki Nandan Jha. A scholar is included among the top collaborators of Devki Nandan Jha 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 Devki Nandan Jha. Devki Nandan Jha 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 11 | |
| 13 | 108 | |
| 14 | 82 | |
| 15 | Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey. | 1 |
| 16 | 39 | |
| 17 | SLA-aware Approach for IoT Workflow Activities Placement based on Collaboration between Cloud and Edge | 2 |
| 18 | 13 | |
| 19 | 62 | |
| 20 | 1 |
About Devki Nandan Jha
Devki Nandan Jha is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 32 papers that have together received 536 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (18 papers), Cloud Computing and Resource Management (13 papers) and Software System Performance and Reliability (7 papers). The work is most often cited by research in Computer Networks and Communications (387 citations), Information Systems (225 citations) and Computer Vision and Pattern Recognition (89 citations). Devki Nandan Jha has collaborated with scholars based in United Kingdom, Australia and China. Frequent co-authors include Rajiv Ranjan, Schahram Dustdar, Philip James, Omer Rana, Albert Y. Zomaya, Deepak Puthal, Saurabh Garg, Prem Prakash Jayaraman, Giuliano Casale and Gábor Kecskeméti. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Computer.
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.