L. Padma Suresh
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Bijaya Ketan PanigrahiMartino BoscoSubhransu Sekhar DashS. VeniKiran Kumari PatilManisha ManishaF.M. GonçalvesTeresa Vazão
- Topics
- Multilevel Inverters and Converters (8 papers)Face and Expression Recognition (7 papers)Advanced DC-DC Converters (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth Information ManagementMedical Laboratory Technology
- Journals
- SHILAP Revista de lepidopterologíaNatural hazards and earth system sciencesWireless Personal Communications
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
L. Padma Suresh
93 papers receiving 717 citations
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 221
- Electrical and Electronic Engineering 209
- Artificial Intelligence 145
- Control and Systems Engineering 109
- Computer Networks and Communications 70
Countries citing papers authored by L. Padma Suresh
This map shows the geographic impact of L. Padma Suresh'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 L. Padma Suresh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Padma Suresh more than expected).
Fields of papers citing papers by L. Padma Suresh
This network shows the impact of papers produced by L. Padma Suresh. 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 L. Padma Suresh. The network helps show where L. Padma Suresh may publish in the future.
Co-authorship network of co-authors of L. Padma Suresh
This figure shows the co-authorship network connecting the top 25 collaborators of L. Padma Suresh. A scholar is included among the top collaborators of L. Padma Suresh 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 L. Padma Suresh. L. Padma Suresh 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | Artificial Intelligence and Evolutionary Algorithms in Engineering Systems: Proceedings of ICAEES 2014, Volume 1 | 0 |
| 17 | 33 | |
| 18 | 0 | |
| 19 | A Survey on Cloud Computing | 10 |
| 20 | 1 |
About L. Padma Suresh
L. Padma Suresh is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 104 papers that have together received 811 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (8 papers), Face and Expression Recognition (7 papers) and Advanced DC-DC Converters (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (221 citations), Health Information Management (49 citations) and Medical Laboratory Technology (10 citations). L. Padma Suresh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Bijaya Ketan Panigrahi, Martino Bosco, Subhransu Sekhar Dash, S. Veni, Kiran Kumari Patil, Manisha Manisha, F.M. Gonçalves, Teresa Vazão, Pradip Kumar Sadhu and Alexander John. Their work appears in journals such as SHILAP Revista de lepidopterología, Natural hazards and earth system sciences and Wireless Personal Communications.
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.