Sanjay K. Dwivedi
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Computer Science Applications
- Signal Processing
- Co-authors
- Bhupesh RawatJ. SinghAshok Singh SairamManoj KumarSiddharth PandeyDeb Prasad PandeyArti Mishra
- Topics
- Topic Modeling (12 papers)Natural Language Processing Techniques (12 papers)Advanced Text Analysis Techniques (11 papers)
- Journals
- Journal of King Saud University - Computer and Information SciencesApplied Artificial IntelligenceInternational Journal of Information Technology
- Partner nations
- India
In The Last Decade
Sanjay K. Dwivedi
47 papers receiving 239 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 200
- Information Systems 124
- Computer Vision and Pattern Recognition 25
- Computer Science Applications 18
- Signal Processing 15
Countries citing papers authored by Sanjay K. Dwivedi
This map shows the geographic impact of Sanjay K. Dwivedi'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 Sanjay K. Dwivedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay K. Dwivedi more than expected).
Fields of papers citing papers by Sanjay K. Dwivedi
This network shows the impact of papers produced by Sanjay K. Dwivedi. 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 Sanjay K. Dwivedi. The network helps show where Sanjay K. Dwivedi may publish in the future.
Co-authorship network of co-authors of Sanjay K. Dwivedi
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay K. Dwivedi. A scholar is included among the top collaborators of Sanjay K. Dwivedi 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 Sanjay K. Dwivedi. Sanjay K. Dwivedi 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 | 2 | |
| 3 | Fundamentals of Journal Impact Factor and Indexing Database Metrics | 2 |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | A review on improving recommendation quality by using relevant contextual information | 1 |
| 11 | 14 | |
| 12 | Translation Rules for English to Hindi Machine Translation System: Homoeopathy Domain | 4 |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | A Comparative Study on Approaches of Vector Space Model in Information Retrieval | 6 |
| 19 | 1 | |
| 20 | Analysis of Vector Space Model in Information Retrieval | 22 |
About Sanjay K. Dwivedi
Sanjay K. Dwivedi is a scholar working on Information Systems, Artificial Intelligence and Media Technology, having authored 53 papers that have together received 278 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (12 papers) and Advanced Text Analysis Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (200 citations), Information Systems (124 citations) and Computer Science Applications (18 citations). Sanjay K. Dwivedi has collaborated with scholars based in India. Frequent co-authors include Bhupesh Rawat, J. Singh, Ashok Singh Sairam, Manoj Kumar, Siddharth Pandey, Deb Prasad Pandey and Arti Mishra. Their work appears in journals such as Journal of King Saud University - Computer and Information Sciences, Applied Artificial Intelligence and International Journal of Information Technology.
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.