Saurabh Sharma
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Sapna GambhirVishal GuptaMamta JunejaRashi AgarwalNeha SharmaNarendra Singh YadavVirender KadyanFahd S. Alotaibi
- Topics
- Mobile Ad Hoc Networks (11 papers)Advanced Text Analysis Techniques (8 papers)Opportunistic and Delay-Tolerant Networks (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaKnowledge-Based SystemsArtificial Intelligence Review
In The Last Decade
Saurabh Sharma
38 papers receiving 120 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 57
- Computer Networks and Communications 49
- Information Systems 30
- Electrical and Electronic Engineering 23
- Computer Vision and Pattern Recognition 18
Countries citing papers authored by Saurabh Sharma
This map shows the geographic impact of Saurabh Sharma'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 Saurabh Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh Sharma more than expected).
Fields of papers citing papers by Saurabh Sharma
This network shows the impact of papers produced by Saurabh Sharma. 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 Saurabh Sharma. The network helps show where Saurabh Sharma may publish in the future.
Co-authorship network of co-authors of Saurabh Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Sharma. A scholar is included among the top collaborators of Saurabh Sharma 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 Saurabh Sharma. Saurabh Sharma 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | Implementation of GRP Routing Protocol in MANET | 1 |
| 15 | Extracting News from the Web Pages by using Concept of Clustering with Neural Genetic Approach | 1 |
| 16 | 1 | |
| 17 | 2 | |
| 18 | Domain Based Punjabi Text Document Clustering | 1 |
| 19 | 1 | |
| 20 | A blackboard architecture for data-intensive information fusion using locality-sensitive hashing | 0 |
About Saurabh Sharma
Saurabh Sharma is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 46 papers that have together received 133 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (11 papers), Advanced Text Analysis Techniques (8 papers) and Opportunistic and Delay-Tolerant Networks (8 papers). The work is most often cited by research in Computer Networks and Communications (49 citations), Artificial Intelligence (57 citations) and Computational Mathematics (1 citation). Saurabh Sharma has collaborated with scholars based in India, Nepal and Russia. Frequent co-authors include Sapna Gambhir, Vishal Gupta, Vishal Gupta, Mamta Juneja, Rashi Agarwal, Neha Sharma, Narendra Singh Yadav, Virender Kadyan, Fahd S. Alotaibi and Puneet Agarwal. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.