Akshay Jain
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Hardware and Architecture top 10%
- Co-authors
- Sergi AbadalEduard AlarcónRobert GuiradoIlker DemirkolElena López-AguileraTimothy G. RogersAlbert Cabellos‐AparicioMahmoud Khairy
- Topics
- Advanced Data Storage Technologies (5 papers)Parallel Computing and Optimization Techniques (5 papers)Advanced MIMO Systems Optimization (5 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- SpainUnited StatesIndia
In The Last Decade
Akshay Jain
19 papers receiving 384 citations
Peers
Comparison fields: 5 of 69
- Electrical and Electronic Engineering 164
- Computer Networks and Communications 148
- Artificial Intelligence 126
- Computer Vision and Pattern Recognition 87
- Hardware and Architecture 71
Countries citing papers authored by Akshay Jain
This map shows the geographic impact of Akshay Jain'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 Akshay Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Jain more than expected).
Fields of papers citing papers by Akshay Jain
This network shows the impact of papers produced by Akshay Jain. 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 Akshay Jain. The network helps show where Akshay Jain may publish in the future.
Co-authorship network of co-authors of Akshay Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Akshay Jain. A scholar is included among the top collaborators of Akshay Jain 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 Akshay Jain. Akshay Jain 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 | 18 | |
| 3 | 4 | |
| 4 | 170 | |
| 5 | 19 | |
| 6 | 53 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 11 | |
| 14 | 47 | |
| 15 | 2 | |
| 16 | Deep learning in chemoinformatics using tensor flow | 2 |
| 17 | 15 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 2 |
About Akshay Jain
Akshay Jain is a scholar working on Hardware and Architecture, Computer Networks and Communications and Instrumentation, having authored 21 papers that have together received 396 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (5 papers), Parallel Computing and Optimization Techniques (5 papers) and Advanced MIMO Systems Optimization (5 papers). The work is most often cited by research in Hardware and Architecture (71 citations), Computer Networks and Communications (148 citations) and Computer Vision and Pattern Recognition (87 citations). Akshay Jain has collaborated with scholars based in Spain, United States and India. Frequent co-authors include Sergi Abadal, Eduard Alarcón, Robert Guirado, Ilker Demirkol, Elena López-Aguilera, Timothy G. Rogers, Albert Cabellos‐Aparicio, Mahmoud Khairy, Quentin De Coninck and Evangelos Papapetrou. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and ACM Computing Surveys.
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.