Ambika Pawar
- Artificial Intelligence top 10%
- Information Systems top 10%
- Sociology and Political Science
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Co-authors
- Prathamesh ChuriAmit SharmaSwati AhirraoAmir A. AbdulmuhsinAntonio-José Moreno-GuerreroManoj Kumar VermaKetan KotechaRahul Joshi
- Topics
- Privacy-Preserving Technologies in Data (15 papers)Privacy, Security, and Data Protection (9 papers)Cryptography and Data Security (7 papers)
In The Last Decade
Ambika Pawar
31 papers receiving 275 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 147
- Information Systems 100
- Sociology and Political Science 95
- Computer Networks and Communications 52
- Electrical and Electronic Engineering 36
Countries citing papers authored by Ambika Pawar
This map shows the geographic impact of Ambika 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 Ambika Pawar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambika Pawar more than expected).
Fields of papers citing papers by Ambika Pawar
This network shows the impact of papers produced by Ambika 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 Ambika Pawar. The network helps show where Ambika Pawar may publish in the future.
Co-authorship network of co-authors of Ambika Pawar
This figure shows the co-authorship network connecting the top 25 collaborators of Ambika Pawar. A scholar is included among the top collaborators of Ambika 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 Ambika Pawar. Ambika 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 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 18 | |
| 10 | 21 | |
| 11 | 17 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | Decentralizing AI Applications With Block Chain | 11 |
| 15 | Two-Threshold Chunking (TTC): Efficient Chunking Algorithm For Data Deduplication For Backup Storage | 3 |
| 16 | 11 | |
| 17 | Bibliometric Survey of Privacy of Social Media Network Data Publishing | 4 |
| 18 | 17 | |
| 19 | 8 | |
| 20 | 2 |
About Ambika Pawar
Ambika Pawar is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science, having authored 34 papers that have together received 293 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (15 papers), Privacy, Security, and Data Protection (9 papers) and Cryptography and Data Security (7 papers). The work is most often cited by research in Health Informatics (9 citations), Artificial Intelligence (147 citations) and Information Systems (100 citations). Ambika Pawar has collaborated with scholars based in India, Pakistan and Iraq. Frequent co-authors include Prathamesh Churi, Amit Sharma, Swati Ahirrao, Amir A. Abdulmuhsin, Antonio-José Moreno-Guerrero, Manoj Kumar Verma, Ketan Kotecha, Rahul Joshi, Pooja Kamat and Shraddha Phansalkar. Their work appears in journals such as IEEE Access, Electronics and Computers, materials & continua/Computers, materials & continua (Print).
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.