Shweta Taneja
- Artificial Intelligence
- Health, Toxicology and Mutagenesis
- Environmental Engineering
- Computer Vision and Pattern Recognition
- Automotive Engineering
- Co-authors
- Charu GuptaNidhi SharmaRajni JindalPinaki ChakrabortyPunam BediC. P. KattiPrateek SaxenaRicha Sharma
- Topics
- Text and Document Classification Technologies (4 papers)Air Quality and Health Impacts (3 papers)Advanced Text Analysis Techniques (3 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Shweta Taneja
24 papers receiving 208 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 74
- Health, Toxicology and Mutagenesis 51
- Environmental Engineering 50
- Computer Vision and Pattern Recognition 28
- Automotive Engineering 26
Countries citing papers authored by Shweta Taneja
This map shows the geographic impact of Shweta Taneja'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 Shweta Taneja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shweta Taneja more than expected).
Fields of papers citing papers by Shweta Taneja
This network shows the impact of papers produced by Shweta Taneja. 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 Shweta Taneja. The network helps show where Shweta Taneja may publish in the future.
Co-authorship network of co-authors of Shweta Taneja
This figure shows the co-authorship network connecting the top 25 collaborators of Shweta Taneja. A scholar is included among the top collaborators of Shweta Taneja 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 Shweta Taneja. Shweta Taneja 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 | 9 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | Application of Balancing Techniques with Ensemble Approach for Credit Card Fraud Detection | 7 |
| 6 | 2 | |
| 7 | 41 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 22 | |
| 13 | 1 | |
| 14 | 14 | |
| 15 | 4 | |
| 16 | 52 | |
| 17 | An Optimizing Compiler for Turing Machine Description Language | 1 |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 6 |
About Shweta Taneja
Shweta Taneja is a scholar working on Artificial Intelligence, Information Systems and Software, having authored 25 papers that have together received 225 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (4 papers), Air Quality and Health Impacts (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (51 citations), Environmental Engineering (50 citations) and Artificial Intelligence (74 citations). Shweta Taneja has collaborated with scholars based in India and United States. Frequent co-authors include Charu Gupta, Nidhi Sharma, Rajni Jindal, Pinaki Chakraborty, Punam Bedi, C. P. Katti, Prateek Saxena, Richa Sharma, Pijush Kanti Dutta Pramanik and Garima Thakur. Their work appears in journals such as Computer Applications in Engineering Education, Defence Science Journal and ACM Inroads.
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.