Aditi Sharan
- Artificial Intelligence top 2%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Co-authors
- C. K. JhaAnita YadavJagendra SinghHanuman VermaR. K. AgrawalHazra ImranQi ZhangDaniel Gallego-Pérez
- Topics
- Topic Modeling (14 papers)Advanced Text Analysis Techniques (14 papers)Semantic Web and Ontologies (13 papers)
- Partner nations
- IndiaPhilippinesUnited States
In The Last Decade
Aditi Sharan
56 papers receiving 959 citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 540
- Information Systems 223
- Management Science and Operations Research 209
- Computer Vision and Pattern Recognition 178
- Signal Processing 111
Countries citing papers authored by Aditi Sharan
This map shows the geographic impact of Aditi Sharan'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 Aditi Sharan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditi Sharan more than expected).
Fields of papers citing papers by Aditi Sharan
This network shows the impact of papers produced by Aditi Sharan. 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 Aditi Sharan. The network helps show where Aditi Sharan may publish in the future.
Co-authorship network of co-authors of Aditi Sharan
This figure shows the co-authorship network connecting the top 25 collaborators of Aditi Sharan. A scholar is included among the top collaborators of Aditi Sharan 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 Aditi Sharan. Aditi Sharan 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 | 1 | |
| 3 | 17 | |
| 4 | 48 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 26 | |
| 9 | 5 | |
| 10 | Semantic Web Oriented framework for Knowledge Management in Agriculture Domain. | 4 |
| 11 | 45 | |
| 12 | AGNER: Entity tagger in agriculture domain | 4 |
| 13 | 2 | |
| 14 | 17 | |
| 15 | 14 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 8 | |
| 19 | THESAURUS AND QUERY EXPANSION | 21 |
| 20 | Selecting Effective Expansion Terms for Better Information Retrieval. | 8 |
About Aditi Sharan
Aditi Sharan is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Advanced Text Analysis Techniques (14 papers) and Semantic Web and Ontologies (13 papers). The work is most often cited by research in Drug Discovery (3 citations), Management Science and Operations Research (209 citations) and Artificial Intelligence (540 citations). Aditi Sharan has collaborated with scholars based in India, Philippines and United States. Frequent co-authors include C. K. Jha, Anita Yadav, Jagendra Singh, Hanuman Verma, R. K. Agrawal, Hazra Imran, Qi Zhang, Daniel Gallego-Pérez, Chandra Shekhar Yadav and Shruti Kohli. Their work appears in journals such as Applied Soft Computing, Neural Computing and Applications and Multimedia Tools and 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.