Subarna Shakya
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- IoT and Edge/Fog Computing 11
- Network Security and Intrusion Detection 7
- Information Systems top 2%
- Blockchain Technology Applications and Security 7
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- Stock Market Forecasting Methods 11
- Signal Processing top 5%
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- E-Government and Public Services 12
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- Topic Modeling 11
- Natural Language Processing Techniques 10
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- Energy Load and Power Forecasting 7
- Co-authors
- S. SmysAshwin DhakalSmys S.Sujan ShresthaGajendra SharmaSantosh PandeyRobert BešťákKeshav Raj Adhikari
- Cited by
- Computer Networks and CommunicationsInformation SystemsManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Open Innovation Technology Market and Complexity (1 paper)Journal of Applied Sciences (1 paper)
- 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
- Information Systems 289
- Management Science and Operations Research 130
- Computer Vision and Pattern Recognition 207
- Signal Processing 106
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
The 25 scholars most cited alongside Subarna Shakya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 6 | |
| 9 | Nepali POS Tagging Using Deep Learning Approaches | 2020 | 5 |
| 10 | 2018 | 45 | |
| 11 | 2018 | 10 | |
| 12 | 2017 | 2 | |
| 13 | 2017 | 40 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2015 | 3 | |
| 17 | Constraints and farmer's perception on off season green onion production in Chitwan - A Survey | 2015 | 1 |
| 18 | 2015 | 3 | |
| 19 | 2014 | 13 | |
| 20 | 2002 | 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), IoT and Edge/Fog Computing (11 papers), Stock Market Forecasting Methods (11 papers), Natural Language Processing Techniques (10 papers), Network Security and Intrusion Detection (7 papers), Energy Load and Power Forecasting (7 papers) and Blockchain Technology Applications and Security (7 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.