Deepti Mehrotra
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Hari Mohan PandeyAnkit ChaudharyA. Sai SabithaRenuka NagpalAbhay BansalGautam SrivastavaRicha GuptaRajesh Kumar Tyagi
- Topics
- IoT and Edge/Fog Computing (15 papers)Software Engineering Research (11 papers)Online Learning and Analytics (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Soft ComputingNeural Computing and Applications
- Partner nations
- IndiaUnited Arab EmiratesUnited Kingdom
In The Last Decade
Deepti Mehrotra
118 papers receiving 990 citations
Peers
Comparison fields: 5 of 138
- Artificial Intelligence 311
- Information Systems 240
- Computer Networks and Communications 152
- Electrical and Electronic Engineering 145
- Computer Vision and Pattern Recognition 112
Countries citing papers authored by Deepti Mehrotra
This map shows the geographic impact of Deepti Mehrotra'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 Deepti Mehrotra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepti Mehrotra more than expected).
Fields of papers citing papers by Deepti Mehrotra
This network shows the impact of papers produced by Deepti Mehrotra. 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 Deepti Mehrotra. The network helps show where Deepti Mehrotra may publish in the future.
Co-authorship network of co-authors of Deepti Mehrotra
This figure shows the co-authorship network connecting the top 25 collaborators of Deepti Mehrotra. A scholar is included among the top collaborators of Deepti Mehrotra 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 Deepti Mehrotra. Deepti Mehrotra 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 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 18 | |
| 11 | 5 | |
| 12 | 21 | |
| 13 | 2 | |
| 14 | 17 | |
| 15 | Knowledge Enriched Learning by Converging Knowledge Object & Learning Object | 7 |
| 16 | 31 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | Improving Network Reliability and QOS in EOIPThrough Application Layer Signaling Protocol(RTP) | 1 |
| 20 | 2 |
About Deepti Mehrotra
Deepti Mehrotra is a scholar working on Computer Science Applications, Software and Information Systems, having authored 130 papers that have together received 1.1k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (15 papers), Software Engineering Research (11 papers) and Online Learning and Analytics (10 papers). The work is most often cited by research in Computer Science Applications (109 citations), Information Systems (240 citations) and Artificial Intelligence (311 citations). Deepti Mehrotra has collaborated with scholars based in India, United Arab Emirates and United Kingdom. Frequent co-authors include Hari Mohan Pandey, Ankit Chaudhary, A. Sai Sabitha, Renuka Nagpal, Abhay Bansal, Gautam Srivastava, Richa Gupta, Rajesh Kumar Tyagi, Pradeep Kumar Bhatia and Arun Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Neural Computing and Applications.
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.