Rajnish Ratna
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology
- Signal Processing top 10%
- Water Science and Technology
- Computer Vision and Pattern Recognition
- Co-authors
- Mohammed ZakariahHussam TaraziPrashant Kumar ShuklaWesam Atef HatamlehAbeer Ali AlnuaimAseel AlhadlaqTariq Ahamed AhangerAnil Audumbar Pise
- Topics
- Emotion and Mood Recognition (2 papers)Speech and Audio Processing (2 papers)IoT and Edge/Fog Computing (1 paper)
- Journals
- Computational Intelligence and NeuroscienceWireless Communications and Mobile ComputingJournal of Food Quality
- Partner nations
- BhutanIndiaSaudi Arabia
In The Last Decade
Rajnish Ratna
9 papers receiving 268 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 99
- Experimental and Cognitive Psychology 54
- Signal Processing 47
- Water Science and Technology 39
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by Rajnish Ratna
This map shows the geographic impact of Rajnish Ratna'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 Rajnish Ratna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajnish Ratna more than expected).
Fields of papers citing papers by Rajnish Ratna
This network shows the impact of papers produced by Rajnish Ratna. 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 Rajnish Ratna. The network helps show where Rajnish Ratna may publish in the future.
Co-authorship network of co-authors of Rajnish Ratna
This figure shows the co-authorship network connecting the top 25 collaborators of Rajnish Ratna. A scholar is included among the top collaborators of Rajnish Ratna 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 Rajnish Ratna. Rajnish Ratna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 60 | |
| 6 | 47 | |
| 7 | 44 | |
| 8 | 92 | |
| 9 | EDUCATION IN BHUTAN: AN OBSERVATION FROM SUSTAINABILITY PERSPECTIVE | 2 |
| 10 | Measuring Impact of Trade Unions on Workmen Satisfaction in a Manufacturing unit | 0 |
About Rajnish Ratna
Rajnish Ratna is a scholar working on Health Informatics, Signal Processing and Computer Science Applications, having authored 10 papers that have together received 317 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (2 papers), Speech and Audio Processing (2 papers) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Health Informatics (16 citations), Computer Science Applications (26 citations) and Signal Processing (47 citations). Rajnish Ratna has collaborated with scholars based in Bhutan, India and Saudi Arabia. Frequent co-authors include Mohammed Zakariah, Hussam Tarazi, Prashant Kumar Shukla, Wesam Atef Hatamleh, Abeer Ali Alnuaim, Aseel Alhadlaq, Tariq Ahamed Ahanger, Anil Audumbar Pise, Nidhi Arora and Hashem O. Alsaab. Their work appears in journals such as Computational Intelligence and Neuroscience, Wireless Communications and Mobile Computing and Journal of Food Quality.
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.