J. Akilandeswari
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Signal Processing
- Computer Vision and Pattern Recognition
- Co-authors
- G. JothiN. P. GopalanM. Vinoth KumarR. S. SabeenianPethuru Raj ChelliahM. E. ParamasivamR. KarthikSathiyabhama Balasubramaniam
- Topics
- Web Data Mining and Analysis (6 papers)Data Management and Algorithms (5 papers)Spam and Phishing Detection (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaMultimedia Tools and ApplicationsComputing
- Partner nations
- IndiaUnited StatesNepal
In The Last Decade
J. Akilandeswari
28 papers receiving 172 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 99
- Information Systems 73
- Computer Networks and Communications 39
- Signal Processing 29
- Computer Vision and Pattern Recognition 23
Countries citing papers authored by J. Akilandeswari
This map shows the geographic impact of J. Akilandeswari'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 J. Akilandeswari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Akilandeswari more than expected).
Fields of papers citing papers by J. Akilandeswari
This network shows the impact of papers produced by J. Akilandeswari. 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 J. Akilandeswari. The network helps show where J. Akilandeswari may publish in the future.
Co-authorship network of co-authors of J. Akilandeswari
This figure shows the co-authorship network connecting the top 25 collaborators of J. Akilandeswari. A scholar is included among the top collaborators of J. Akilandeswari 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 J. Akilandeswari. J. Akilandeswari 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 19 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 20 | |
| 14 | A NOVEL APPROACH FOR RANKING ONTOLOGIES BASED ON THE STRUCTURE AND SEMANTICS | 2 |
| 15 | 7 | |
| 16 | 9 | |
| 17 | Categorical Data Clustering using Cosine based similarity for Enhancing the Accuracy of Squeezer Algorithm | 3 |
| 18 | 11 | |
| 19 | 3 | |
| 20 | A distributed, fault-tolerant multi-agent web mining system for scalable web search | 1 |
About J. Akilandeswari
J. Akilandeswari is a scholar working on Information Systems, Signal Processing and Artificial Intelligence, having authored 35 papers that have together received 208 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (6 papers), Data Management and Algorithms (5 papers) and Spam and Phishing Detection (4 papers). The work is most often cited by research in Information Systems (73 citations), Artificial Intelligence (99 citations) and Signal Processing (29 citations). J. Akilandeswari has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include G. Jothi, N. P. Gopalan, M. Vinoth Kumar, R. S. Sabeenian, Pethuru Raj Chelliah, M. E. Paramasivam, R. Karthik, Sathiyabhama Balasubramaniam, V. Anitha and Raj K. Prabhu. Their work appears in journals such as SHILAP Revista de lepidopterología, Multimedia Tools and Applications and Computing.
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.