Abinash Tripathy
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining 9
- Advanced Text Analysis Techniques 6
- Text and Document Classification Technologies 2
- Information Systems top 5%
- Spam and Phishing Detection 5
- Software Engineering Research 2
- Software Engineering Techniques and Practices 2
- Service-Oriented Architecture and Web Services 1
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- Stock Market Forecasting Methods 3
- Co-authors
- Santanu Kumar RathA.K. AgrawalAbhishek AnandVirender KadyanThipendra P. SinghSudhansu Shekhar PatraUtpal Chandra DeBibhuti Bhusan Dash
- Journals
- Expert Systems with Applications (1 paper)Multimedia Tools and Applications (1 paper)Knowledge and Information Systems (1 paper)
- Partner nations
- India
In The Last Decade
Abinash Tripathy
10 papers receiving 637 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 589
- Information Systems 220
- Management Science and Operations Research 74
- Sociology and Political Science 82
- Signal Processing 20
Countries citing papers authored by Abinash Tripathy
This map shows the geographic impact of Abinash Tripathy'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 Abinash Tripathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abinash Tripathy more than expected).
Fields of papers citing papers by Abinash Tripathy
This network shows the impact of papers produced by Abinash Tripathy. 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 Abinash Tripathy. The network helps show where Abinash Tripathy may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Abinash Tripathy, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 10 | |
| 8 | 2019 | 0 | |
| 9 | 2017 | 79 | |
| 10 | Classification of sentiment reviews using n-gram machine learning approachbreakdown → | 2016 | 417 |
| 11 | 2016 | 20 | |
| 12 | 2015 | 0 | |
| 13 | 2015 | 146 | |
| 14 | 2014 | 4 |
About Abinash Tripathy
Abinash Tripathy is a scholar working on Artificial Intelligence, Information Systems and General Social Sciences, having authored 14 papers that have together received 682 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (9 papers), Advanced Text Analysis Techniques (6 papers), Spam and Phishing Detection (5 papers), Stock Market Forecasting Methods (3 papers), Software Engineering Research (2 papers), Software Engineering Techniques and Practices (2 papers), Text and Document Classification Technologies (2 papers) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Artificial Intelligence (589 citations), Information Systems (220 citations) and Management Science and Operations Research (74 citations). Abinash Tripathy has collaborated with scholars based in India. Frequent co-authors include Santanu Kumar Rath, A.K. Agrawal, Abhishek Anand, Virender Kadyan, Thipendra P. Singh, Sudhansu Shekhar Patra, Utpal Chandra De, Bibhuti Bhusan Dash, Minakhi Rout and Ravi Prakash. Their work appears in journals such as Expert Systems with Applications, Multimedia Tools and Applications and Knowledge and Information Systems.
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.