Subarna Shakya
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- S. SmysAshwin DhakalSmys S.Sujan ShresthaGajendra SharmaSantosh PandeyRobert BešťákKeshav Raj Adhikari
- Topics
- E-Government and Public Services (12 papers)Topic Modeling (11 papers)IoT and Edge/Fog Computing (11 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaJournal of Open Innovation Technology Market and ComplexityJournal of Applied Sciences
- Partner nations
- NepalIndiaUnited States
In The Last Decade
Subarna Shakya
118 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 134
- Computer Networks and Communications 308
- Artificial Intelligence 307
- Information Systems 289
- Electrical and Electronic Engineering 248
- Computer Vision and Pattern Recognition 207
Countries citing papers authored by Subarna Shakya
This map shows the geographic impact of Subarna Shakya'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 Subarna Shakya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subarna Shakya more than expected).
Fields of papers citing papers by Subarna Shakya
This network shows the impact of papers produced by Subarna Shakya. 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 Subarna Shakya. The network helps show where Subarna Shakya may publish in the future.
Co-authorship network of co-authors of Subarna Shakya
This figure shows the co-authorship network connecting the top 25 collaborators of Subarna Shakya. A scholar is included among the top collaborators of Subarna Shakya 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 Subarna Shakya. Subarna Shakya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | Nepali POS Tagging Using Deep Learning Approaches | 5 |
| 10 | 45 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 40 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | Constraints and farmer's perception on off season green onion production in Chitwan - A Survey | 1 |
| 18 | 3 | |
| 19 | 13 | |
| 20 | 5 |
About Subarna Shakya
Subarna Shakya is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 130 papers that have together received 1.3k indexed citations. Recurring topics across this work include E-Government and Public Services (12 papers), Topic Modeling (11 papers) and IoT and Edge/Fog Computing (11 papers). The work is most often cited by research in Computer Networks and Communications (308 citations), Information Systems (289 citations) and Management Science and Operations Research (130 citations). Subarna Shakya has collaborated with scholars based in Nepal, India and United States. Frequent co-authors include S. Smys, Ashwin Dhakal, Smys S., Sujan Shrestha, Gajendra Sharma, Santosh Pandey, Robert Bešťák, Keshav Raj Adhikari, Anil Kumar Sah and Valentina Emilia Bălaş. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Open Innovation Technology Market and Complexity and Journal of Applied Sciences.
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.