Ratnadip Adhikari
- Management Science and Operations Research top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Signal Processing top 10%
- Co-authors
- R. K. AgrawalGhanshyam VermaUdit Satija
- Topics
- Stock Market Forecasting Methods (12 papers)Forecasting Techniques and Applications (8 papers)Energy Load and Power Forecasting (6 papers)
- Journals
- NeurocomputingNeural Computing and ApplicationsJournal of Network and Computer Applications
- Partner nations
- India
In The Last Decade
Ratnadip Adhikari
14 papers receiving 557 citations
Peers
Comparison fields: 5 of 88
- Management Science and Operations Research 333
- Electrical and Electronic Engineering 273
- Artificial Intelligence 161
- Economics and Econometrics 79
- Signal Processing 68
Countries citing papers authored by Ratnadip Adhikari
This map shows the geographic impact of Ratnadip Adhikari'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 Ratnadip Adhikari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ratnadip Adhikari more than expected).
Fields of papers citing papers by Ratnadip Adhikari
This network shows the impact of papers produced by Ratnadip Adhikari. 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 Ratnadip Adhikari. The network helps show where Ratnadip Adhikari may publish in the future.
Co-authorship network of co-authors of Ratnadip Adhikari
This figure shows the co-authorship network connecting the top 25 collaborators of Ratnadip Adhikari. A scholar is included among the top collaborators of Ratnadip Adhikari 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 Ratnadip Adhikari. Ratnadip Adhikari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 2 | |
| 3 | 100 | |
| 4 | 18 | |
| 5 | 203 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 117 | |
| 11 | Forecasting strong seasonal time series with artificial neural networks | 14 |
| 12 | 48 | |
| 13 | Effectiveness of PSO Based Neural Network for Seasonal Time Series Forecasting. | 27 |
| 14 | A Homogeneous Ensemble of Artificial Neural Networks for Time Series Forecasting | 14 |
About Ratnadip Adhikari
Ratnadip Adhikari is a scholar working on Management Science and Operations Research, Signal Processing and Artificial Intelligence, having authored 14 papers that have together received 592 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (12 papers), Forecasting Techniques and Applications (8 papers) and Energy Load and Power Forecasting (6 papers). The work is most often cited by research in Management Science and Operations Research (333 citations), Signal Processing (68 citations) and Artificial Intelligence (161 citations). Ratnadip Adhikari has collaborated with scholars based in India. Frequent co-authors include R. K. Agrawal, Ghanshyam Verma and Udit Satija. Their work appears in journals such as Neurocomputing, Neural Computing and Applications and Journal of Network and Computer Applications.
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.