Neha Garg
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Devesh Pratap SinghMohammad WazidAshok Kumar DasRitu GargJoel J. P. C. RodriguesYoungho ParkSonali AgarwalMohammad S. Obaidat
- Topics
- Advanced Authentication Protocols Security (4 papers)Wireless Body Area Networks (4 papers)User Authentication and Security Systems (4 papers)
- Partner nations
- IndiaPortugalUnited States
In The Last Decade
Neha Garg
25 papers receiving 297 citations
Peers
Comparison fields: 5 of 67
- Computer Networks and Communications 179
- Information Systems 176
- Electrical and Electronic Engineering 54
- Artificial Intelligence 51
- Biomedical Engineering 42
Countries citing papers authored by Neha Garg
This map shows the geographic impact of Neha Garg'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 Neha Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Garg more than expected).
Fields of papers citing papers by Neha Garg
This network shows the impact of papers produced by Neha Garg. 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 Neha Garg. The network helps show where Neha Garg may publish in the future.
Co-authorship network of co-authors of Neha Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Garg. A scholar is included among the top collaborators of Neha Garg 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 Neha Garg. Neha Garg 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 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 16 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 52 | |
| 17 | 8 | |
| 18 | Role of Clustering in Achieving Energy Efficient Coverage in Wireless Sensor Network : A Short Review | 1 |
| 19 | 4 | |
| 20 | A Generic Process Model for Botnet Forensic Analysis | 6 |
About Neha Garg
Neha Garg is a scholar working on Information Systems, Computer Networks and Communications and Instrumentation, having authored 28 papers that have together received 310 indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (4 papers), Wireless Body Area Networks (4 papers) and User Authentication and Security Systems (4 papers). The work is most often cited by research in Information Systems (176 citations), Computer Networks and Communications (179 citations) and Health Informatics (8 citations). Neha Garg has collaborated with scholars based in India, Portugal and United States. Frequent co-authors include Devesh Pratap Singh, Mohammad Wazid, Ashok Kumar Das, Ritu Garg, Joel J. P. C. Rodrigues, Youngho Park, Sonali Agarwal, Mohammad S. Obaidat, Emmanuel S. Pilli and Anchit Bijalwan. Their work appears in journals such as IEEE Access, Network Computation in Neural Systems and Materials Today Proceedings.
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.