Ashok Sharma
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Control and Systems Engineering
- Co-authors
- M. TanveerPonnuthurai Nagaratnam SuganthanParul GuptaJuhi GuptaDivakar YadavBharat RichhariyaAmar SinghAmit Kumar Goel
- Topics
- Mobile Ad Hoc Networks (8 papers)Opportunistic and Delay-Tolerant Networks (8 papers)Machine Learning in Bioinformatics (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaInformation SciencesNeurocomputing
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Ashok Sharma
45 papers receiving 325 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 145
- Computer Vision and Pattern Recognition 128
- Computer Networks and Communications 64
- Information Systems 51
- Control and Systems Engineering 37
Countries citing papers authored by Ashok Sharma
This map shows the geographic impact of Ashok 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 Ashok Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashok Sharma more than expected).
Fields of papers citing papers by Ashok Sharma
This network shows the impact of papers produced by Ashok 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 Ashok Sharma. The network helps show where Ashok Sharma may publish in the future.
Co-authorship network of co-authors of Ashok Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Ashok Sharma. A scholar is included among the top collaborators of Ashok 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 Ashok Sharma. Ashok 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 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | MODELING OF AMBIENT FOR SOx AND NOx POLLUTANTSTHROUGH ARTIFICAL NEURAL NETWORK ININDUSTRIAL AREA OF UJJAIN CITY | 0 |
| 13 | 7 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | Parallel crawler architecture and web page change detection | 14 |
| 17 | The Role of Election Commission of India in strengthening the largest Democracy of the World | 1 |
| 18 | 4 | |
| 19 | 8 | |
| 20 | 7 |
About Ashok Sharma
Ashok Sharma is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 54 papers that have together received 358 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (8 papers), Opportunistic and Delay-Tolerant Networks (8 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (128 citations), Artificial Intelligence (145 citations) and Computer Networks and Communications (64 citations). Ashok Sharma has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include M. Tanveer, Ponnuthurai Nagaratnam Suganthan, Parul Gupta, Juhi Gupta, Divakar Yadav, Bharat Richhariya, Amar Singh, Amit Kumar Goel, Navin Rajpal and Prasenjit Mondal. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and Neurocomputing.
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.