Pandit Byomakesha Dash
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment
- Computer Networks and Communications
- Control and Systems Engineering
- Co-authors
- Janmenjoy NayakBighnaraj NaikManohar MishraSubrat Kumar SwainAlireza SouriS. VimalVimal ShanmuganathanDanilo Pelusi
- Topics
- Network Security and Intrusion Detection (7 papers)Anomaly Detection Techniques and Applications (5 papers)Advanced Malware Detection Techniques (4 papers)
In The Last Decade
Pandit Byomakesha Dash
17 papers receiving 345 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 191
- Electrical and Electronic Engineering 139
- Renewable Energy, Sustainability and the Environment 79
- Computer Networks and Communications 58
- Control and Systems Engineering 31
Countries citing papers authored by Pandit Byomakesha Dash
This map shows the geographic impact of Pandit Byomakesha Dash'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 Pandit Byomakesha Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pandit Byomakesha Dash more than expected).
Fields of papers citing papers by Pandit Byomakesha Dash
This network shows the impact of papers produced by Pandit Byomakesha Dash. 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 Pandit Byomakesha Dash. The network helps show where Pandit Byomakesha Dash may publish in the future.
Co-authorship network of co-authors of Pandit Byomakesha Dash
This figure shows the co-authorship network connecting the top 25 collaborators of Pandit Byomakesha Dash. A scholar is included among the top collaborators of Pandit Byomakesha Dash 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 Pandit Byomakesha Dash. Pandit Byomakesha Dash 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 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 39 | |
| 8 | 23 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 17 | |
| 12 | 19 | |
| 13 | 36 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 8 | |
| 17 | Anomaly Detection in IoT Network by using Multi-class Adaptive Boosting Classifier | 3 |
| 18 | 29 | |
| 19 | 144 | |
| 20 | 9 |
About Pandit Byomakesha Dash
Pandit Byomakesha Dash is a scholar working on Artificial Intelligence, Health Information Management and Signal Processing, having authored 20 papers that have together received 359 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (191 citations), Health Informatics (7 citations) and Renewable Energy, Sustainability and the Environment (79 citations). Pandit Byomakesha Dash has collaborated with scholars based in India, Italy and Singapore. Frequent co-authors include Janmenjoy Nayak, Bighnaraj Naik, Manohar Mishra, Subrat Kumar Swain, Alireza Souri, S. Vimal, Vimal Shanmuganathan, S. Vimal, Danilo Pelusi and Seifedine Kadry. Their work appears in journals such as Applied Soft Computing, Pattern Recognition Letters and Measurement.
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.