Akshi Kumar
- Artificial Intelligence top 0.5%
- Sentiment Analysis and Opinion Mining 37
- Advanced Text Analysis Techniques 20
- Text and Document Classification Technologies 18
- Topic Modeling 13
- Information Systems top 1%
- Spam and Phishing Detection 18
- Recommender Systems and Techniques 12
- Service-Oriented Architecture and Web Services 11
- Signal Processing top 2%
- Health Informatics top 5%
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- Emotion and Mood Recognition 9
Akshi Kumar
131 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 1.7k
- Information Systems 649
- Signal Processing 259
- Health Informatics 29
- Experimental and Cognitive Psychology 221
Countries citing papers authored by Akshi Kumar
This map shows the geographic impact of Akshi Kumar'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 Akshi Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshi Kumar more than expected).
Fields of papers citing papers by Akshi Kumar
This network shows the impact of papers produced by Akshi Kumar. 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 Akshi Kumar. The network helps show where Akshi Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akshi Kumar, 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 | 8 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 14 | |
| 6 | 2022 | 19 | |
| 7 | 2021 | 34 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 14 | |
| 10 | Rumour Stance Classification using A Hybrid of Capsule Network and Multi-Layer Perceptron | 2021 | 2 |
| 11 | 2020 | 3 | |
| 12 | 2020 | 73 | |
| 13 | Empirical Analysis of Supervised Machine Learning Techniques for Expert Mining in CQA System | 2019 | 1 |
| 14 | 2019 | 13 | |
| 15 | Survey and evaluation of food recommendation systems and techniques | 2016 | 4 |
| 16 | Ontology based framework for detecting ambiguities in software requirements specification | 2016 | 6 |
| 17 | 2015 | 19 | |
| 18 | Characterizing relatedness of web and requirements engineering | 2015 | 8 |
| 19 | Ontology based framework for automatic software's documentation | 2015 | 3 |
| 20 | Paradigm shifts: from pre-web information systems to recent web-based contextual information retrieval | 2010 | 6 |
About Akshi Kumar
Akshi Kumar is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology and Software, having authored 138 papers that have together received 3.0k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (37 papers), Advanced Text Analysis Techniques (20 papers), Spam and Phishing Detection (18 papers), Text and Document Classification Technologies (18 papers), Topic Modeling (13 papers), Recommender Systems and Techniques (12 papers), Service-Oriented Architecture and Web Services (11 papers) and Emotion and Mood Recognition (9 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Information Systems (649 citations), Signal Processing (259 citations), Health Informatics (29 citations) and Experimental and Cognitive Psychology (221 citations). Akshi Kumar has collaborated with scholars based in India, United Kingdom and China. Frequent co-authors include Anand Nayyar, Jafar A. Alzubi, Geetanjali Garg, Arunima Jaiswal, Kapil Sharma, Aditi Sharma, Saurabh Raj Sangwan, Deepak Kumar Jain, M. P. S. Bhatia and Anshika Arora. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, Multimedia Systems, Indian Journal of Science and Technology and IEEE Transactions on Industrial Informatics.
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.