Pranav M. Pawar
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Plant Science
- Information Systems top 10%
- Co-authors
- Raja MuthalaguRamjee PrasadNeeli R. PrasadRasmus Hjorth NielsenAshish Kumar JhaSanjana GuptaSatbir JainAlavikunhu Panthakkan
- Topics
- Network Security and Intrusion Detection (26 papers)Advanced Malware Detection Techniques (19 papers)Energy Efficient Wireless Sensor Networks (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- Partner nations
- United Arab EmiratesDenmarkIndia
In The Last Decade
Pranav M. Pawar
56 papers receiving 429 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Computer Networks and Communications 250
- Artificial Intelligence 148
- Signal Processing 113
- Plant Science 106
- Information Systems 52
Countries citing papers authored by Pranav M. Pawar
This map shows the geographic impact of Pranav M. Pawar'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 Pranav M. Pawar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranav M. Pawar more than expected).
Fields of papers citing papers by Pranav M. Pawar
This network shows the impact of papers produced by Pranav M. Pawar. 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 Pranav M. Pawar. The network helps show where Pranav M. Pawar may publish in the future.
Co-authorship network of co-authors of Pranav M. Pawar
This figure shows the co-authorship network connecting the top 25 collaborators of Pranav M. Pawar. A scholar is included among the top collaborators of Pranav M. Pawar 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 Pranav M. Pawar. Pranav M. Pawar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 15 | |
| 6 | Real-Time Plant Disease Dataset Development and Detection of Plant Disease Using Deep Learningbreakdown → | 52 |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 25 | |
| 14 | 7 | |
| 15 | 19 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | M-GCF: Multicolor-Green Conflict Free scheduling algorithm for WSN | 3 |
| 20 | Hybrid mechanisms: Towards an efficient wireless sensor network medium access control | 14 |
About Pranav M. Pawar
Pranav M. Pawar is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 64 papers that have together received 470 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (26 papers), Advanced Malware Detection Techniques (19 papers) and Energy Efficient Wireless Sensor Networks (14 papers). The work is most often cited by research in Computer Networks and Communications (250 citations), Signal Processing (113 citations) and Artificial Intelligence (148 citations). Pranav M. Pawar has collaborated with scholars based in United Arab Emirates, Denmark and India. Frequent co-authors include Raja Muthalagu, Ramjee Prasad, Neeli R. Prasad, Rasmus Hjorth Nielsen, Neeli R. Prasad, Ashish Kumar Jha, Sanjana Gupta, Satbir Jain, Alavikunhu Panthakkan and R Elakkiya. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with 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.