Vishal Gupta
- Artificial Intelligence top 0.5%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Management Science and Operations Research top 5%
- Co-authors
- Gurpreet Singh LehalManish KumarJasmeet SinghPoonam GuptaNidhi NidhiFahd S. AlotaibiAmandeep KaurSaurabh Sharma
- Topics
- Topic Modeling (38 papers)Natural Language Processing Techniques (30 papers)Advanced Text Analysis Techniques (23 papers)
- Partner nations
- IndiaRussiaUnited States
In The Last Decade
Vishal Gupta
60 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 1.7k
- Information Systems 383
- Computer Vision and Pattern Recognition 112
- Molecular Biology 100
- Management Science and Operations Research 99
Countries citing papers authored by Vishal Gupta
This map shows the geographic impact of Vishal Gupta'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 Vishal Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishal Gupta more than expected).
Fields of papers citing papers by Vishal Gupta
This network shows the impact of papers produced by Vishal Gupta. 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 Vishal Gupta. The network helps show where Vishal Gupta may publish in the future.
Co-authorship network of co-authors of Vishal Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Vishal Gupta. A scholar is included among the top collaborators of Vishal Gupta 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 Vishal Gupta. Vishal Gupta 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 | 5 | |
| 4 | 14 | |
| 5 | 19 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | A novel approach for sentiment analysis of punjabi text using SVM. | 3 |
| 9 | 51 | |
| 10 | 16 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | Domain Based Classification of Punjabi Text Documents using Ontology and Hybrid Based Approach | 18 |
| 14 | Automatic Punjabi Text Extractive Summarization System | 12 |
| 15 | Domain Based Classification of Punjabi Text Documents | 3 |
| 16 | 1 | |
| 17 | 72 | |
| 18 | Recent Trends in Text Classification Techniques | 15 |
| 19 | Automatic Keywords Extraction for Punjabi Language | 14 |
| 20 | A Survey of Text Summarization Extractive Techniquesbreakdown → | 406 |
About Vishal Gupta
Vishal Gupta is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (38 papers), Natural Language Processing Techniques (30 papers) and Advanced Text Analysis Techniques (23 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Information Systems (383 citations) and Health Informatics (14 citations). Vishal Gupta has collaborated with scholars based in India, Russia and United States. Frequent co-authors include Gurpreet Singh Lehal, Manish Kumar, Jasmeet Singh, Poonam Gupta, Nidhi Nidhi, Fahd S. Alotaibi, Amandeep Kaur, Saurabh Sharma, Manoj Kumar Chinnakotla and Manish Kumar Jindal. Their work appears in journals such as ACM Computing Surveys, Knowledge-Based Systems and Artificial Intelligence Review.
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.