Ningrinla Marchang
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Co-authors
- Rakesh TripathiRaja DattaRandhir KumarSajal K. DasThippa Reddy GadekalluNaixue XiongGautam Srivastava
- Topics
- Cognitive Radio Networks and Spectrum Sensing (25 papers)Distributed Sensor Networks and Detection Algorithms (12 papers)Mobile Crowdsensing and Crowdsourcing (7 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionInformation Systems
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Ningrinla Marchang
42 papers receiving 734 citations
Peers
Comparison fields: 5 of 74
- Computer Networks and Communications 480
- Electrical and Electronic Engineering 202
- Information Systems 190
- Computer Vision and Pattern Recognition 179
- Artificial Intelligence 168
Countries citing papers authored by Ningrinla Marchang
This map shows the geographic impact of Ningrinla Marchang'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 Ningrinla Marchang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningrinla Marchang more than expected).
Fields of papers citing papers by Ningrinla Marchang
This network shows the impact of papers produced by Ningrinla Marchang. 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 Ningrinla Marchang. The network helps show where Ningrinla Marchang may publish in the future.
Co-authorship network of co-authors of Ningrinla Marchang
This figure shows the co-authorship network connecting the top 25 collaborators of Ningrinla Marchang. A scholar is included among the top collaborators of Ningrinla Marchang 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 Ningrinla Marchang. Ningrinla Marchang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 85 | |
| 8 | 103 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 11 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 8 | |
| 20 | Cognitive Radio Networks Security Threats and Attacks: A Review | 11 |
About Ningrinla Marchang
Ningrinla Marchang is a scholar working on Computer Networks and Communications, Computer Science Applications and Transportation, having authored 46 papers that have together received 805 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (25 papers), Distributed Sensor Networks and Detection Algorithms (12 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). The work is most often cited by research in Computer Networks and Communications (480 citations), Computer Vision and Pattern Recognition (179 citations) and Information Systems (190 citations). Ningrinla Marchang has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Rakesh Tripathi, Raja Datta, Randhir Kumar, Sajal K. Das, Thippa Reddy Gadekallu, Naixue Xiong and Gautam Srivastava. Their work appears in journals such as IEEE Access, IEEE Transactions on Vehicular Technology and IEEE Sensors 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.