M. A. Jawale
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Electrical and Electronic Engineering
- General Social Sciences top 5%
- Co-authors
- A. B. PawarP. WilliamNeeta DeshpandeSachin K. KordeSiddhartha ChoubeyKhushi GuptaGaurav Agrawal
- Topics
- Spam and Phishing Detection (6 papers)Artificial Intelligence and Decision Support Systems (5 papers)Sentiment Analysis and Opinion Mining (3 papers)
- Journals
- Journal of Nano- and Electronic Physics2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS)2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC)
- Partner nations
- India
In The Last Decade
M. A. Jawale
14 papers receiving 265 citations
Peers
Comparison fields: 5 of 48
- Information Systems 193
- Computer Vision and Pattern Recognition 47
- Artificial Intelligence 30
- Electrical and Electronic Engineering 26
- General Social Sciences 16
Countries citing papers authored by M. A. Jawale
This map shows the geographic impact of M. A. Jawale'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 M. A. Jawale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. A. Jawale more than expected).
Fields of papers citing papers by M. A. Jawale
This network shows the impact of papers produced by M. A. Jawale. 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 M. A. Jawale. The network helps show where M. A. Jawale may publish in the future.
Co-authorship network of co-authors of M. A. Jawale
This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Jawale. A scholar is included among the top collaborators of M. A. Jawale 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 M. A. Jawale. M. A. Jawale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 22 | |
| 3 | 16 | |
| 4 | 0 | |
| 5 | 28 | |
| 6 | 25 | |
| 7 | 26 | |
| 8 | 27 | |
| 9 | 32 | |
| 10 | 41 | |
| 11 | 19 | |
| 12 | 25 | |
| 13 | 1 | |
| 14 | Advanced Intrusion Detection System with Prevention Capabilities | 2 |
| 15 | Automated Sentiment or Opinion Discovery System | 1 |
| 16 | Development of Advanced Intrusion Detection System: Review | 1 |
About M. A. Jawale
M. A. Jawale is a scholar working on Information Systems, General Social Sciences and Signal Processing, having authored 16 papers that have together received 267 indexed citations. Recurring topics across this work include Spam and Phishing Detection (6 papers), Artificial Intelligence and Decision Support Systems (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Information Systems (193 citations), General Social Sciences (16 citations) and Computer Vision and Pattern Recognition (47 citations). M. A. Jawale has collaborated with scholars based in India. Frequent co-authors include A. B. Pawar, P. William, Neeta Deshpande, Sachin K. Korde, Siddhartha Choubey, Khushi Gupta and Gaurav Agrawal. Their work appears in journals such as Journal of Nano- and Electronic Physics, 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) and 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC).
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.