Dadi Ramesh
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Artificial Intelligence in Healthcare
Papers in
-
- Educational Technology and Assessment 3
- Data Mining Algorithms and Applications 3
-
- Topic Modeling 4
- Co-authors
- Suresh Kumar Sanampudi (3 shared papers)Sallauddin Mohmmad (14 shared papers)Shabana Shabana (7 shared papers)A. Harshavardhan (5 shared papers)Syed Ahmed Pasha (1 shared paper)A. Govardhan (1 shared paper)D. Kothandaraman (4 shared papers)E. C. G. Sudarshan (1 shared paper)
In The Last Decade
Dadi Ramesh
23 papers receiving 418 citations
Dadi Ramesh's Hit Papers
Peers
Comparison fields: 5 of 76
- Health Informatics 29
- Health Information Management 59
- Computer Science Applications 52
- Artificial Intelligence 216
- Information Systems 82
Countries citing papers authored by Dadi Ramesh
This map shows the geographic impact of Dadi Ramesh'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 Dadi Ramesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dadi Ramesh more than expected).
Fields of papers citing papers by Dadi Ramesh
This network shows the impact of papers produced by Dadi Ramesh. 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 Dadi Ramesh. The network helps show where Dadi Ramesh may publish in the future.
Co-authors
The 12 scholars most cited alongside Dadi Ramesh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An automated essay scoring systems: a systematic literature review Hit paper breakdown → | 2021 | 211 |
| 2 | 2015 | 95 | |
| 3 | 2020 | 67 | |
| 4 | Prediction of Stock Market Index Using Genetic Algorithm | 2012 | 13 |
| 5 | 2017 | 13 | |
| 6 | 2019 | 9 | |
| 7 | 2022 | 8 | |
| 8 | 2014 | 7 | |
| 9 | 2022 | 6 | |
| 10 | Effective Load Balancing for Cloud Computing usingHybrid AB Algorithm | 2014 | 5 |
| 11 | 2022 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2020 | 2 |
About Dadi Ramesh
Dadi Ramesh is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Health Information Management, having authored 33 papers that have together received 472 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Topic Modeling (4 papers), Educational Technology and Assessment (3 papers), IoT and Edge/Fog Computing (3 papers), Intravenous Infusion Technology and Safety (3 papers), Smart Agriculture and AI (3 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Health Informatics (29 citations), Health Information Management (59 citations), Computer Science Applications (52 citations), Artificial Intelligence (216 citations) and Information Systems (82 citations). Dadi Ramesh has collaborated with scholars based in India, Canada and Nepal. Frequent co-authors include Suresh Kumar Sanampudi, Sallauddin Mohmmad, Shabana Shabana, A. Harshavardhan, Syed Ahmed Pasha, A. Govardhan, D. Kothandaraman, E. C. G. Sudarshan, Mohammed Ali Shaik and T. Prakash. Their work appears in journals such as RSC Advances, European Journal of Education, Artificial Intelligence Review, ChemistrySelect and International Journal of Electrical and Computer Engineering (IJECE).
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.