Akshansh Gupta
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Co-authors
- Mukesh PrasadChin‐Teng LinWeiping DingAmit SaxenaAruna TiwariNeha BharillOm Prakash PatelMeng Joo Er
- Topics
- EEG and Brain-Computer Interfaces (9 papers)Blind Source Separation Techniques (7 papers)Neural Networks and Applications (6 papers)
In The Last Decade
Akshansh Gupta
18 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 435
- Computer Networks and Communications 260
- Computer Vision and Pattern Recognition 252
- Information Systems 194
- Electrical and Electronic Engineering 187
Countries citing papers authored by Akshansh Gupta
This map shows the geographic impact of Akshansh Gupta'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 Akshansh Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshansh Gupta more than expected).
Fields of papers citing papers by Akshansh Gupta
This network shows the impact of papers produced by Akshansh Gupta. 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 Akshansh Gupta. The network helps show where Akshansh Gupta may publish in the future.
Co-authorship network of co-authors of Akshansh Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Akshansh Gupta. A scholar is included among the top collaborators of Akshansh Gupta 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 Akshansh Gupta. Akshansh Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 40 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 35 | |
| 8 | 42 | |
| 9 | 10 | |
| 10 | 27 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environmentbreakdown → | 279 |
| 14 | A review of clustering techniques and developmentsbreakdown → | 850 |
| 15 | 12 | |
| 16 | 3 | |
| 17 | 43 | |
| 18 | 6 |
About Akshansh Gupta
Akshansh Gupta is a scholar working on Signal Processing, Cognitive Neuroscience and Human-Computer Interaction, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Blind Source Separation Techniques (7 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Signal Processing (153 citations), Artificial Intelligence (435 citations) and Computer Vision and Pattern Recognition (252 citations). Akshansh Gupta has collaborated with scholars based in India, Australia and China. Frequent co-authors include Mukesh Prasad, Chin‐Teng Lin, Weiping Ding, Amit Saxena, Aruna Tiwari, Neha Bharill, Om Prakash Patel, Meng Joo Er, Hesham El‐Sayed and Sharmi Sankar. Their work appears in journals such as Expert Systems with Applications, IEEE Access 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.