Janmenjoy Nayak
- Artificial Intelligence top 1%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Bighnaraj NaikH. S. BeheraDanilo PelusiManohar MishraH. SwapnarekhaAjith AbrahamPandit Byomakesha DashAsit Kumar Das
- Topics
- Metaheuristic Optimization Algorithms Research (20 papers)Network Security and Intrusion Detection (16 papers)Anomaly Detection Techniques and Applications (16 papers)
- Partner nations
- IndiaItalyUnited States
In The Last Decade
Janmenjoy Nayak
128 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Artificial Intelligence 1.4k
- Computer Networks and Communications 571
- Electrical and Electronic Engineering 505
- Information Systems 449
- Computer Vision and Pattern Recognition 412
Countries citing papers authored by Janmenjoy Nayak
This map shows the geographic impact of Janmenjoy Nayak'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 Janmenjoy Nayak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janmenjoy Nayak more than expected).
Fields of papers citing papers by Janmenjoy Nayak
This network shows the impact of papers produced by Janmenjoy Nayak. 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 Janmenjoy Nayak. The network helps show where Janmenjoy Nayak may publish in the future.
Co-authorship network of co-authors of Janmenjoy Nayak
This figure shows the co-authorship network connecting the top 25 collaborators of Janmenjoy Nayak. A scholar is included among the top collaborators of Janmenjoy Nayak 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 Janmenjoy Nayak. Janmenjoy Nayak 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 | 5 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 43 | |
| 7 | 8 | |
| 8 | 16 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | 10 | |
| 12 | 42 | |
| 13 | 2 | |
| 14 | 18 | |
| 15 | 2 | |
| 16 | 24 | |
| 17 | 11 | |
| 18 | 15 | |
| 19 | 52 | |
| 20 | 17 |
About Janmenjoy Nayak
Janmenjoy Nayak is a scholar working on Artificial Intelligence, Software and Computer Networks and Communications, having authored 137 papers that have together received 3.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (20 papers), Network Security and Intrusion Detection (16 papers) and Anomaly Detection Techniques and Applications (16 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Health Informatics (47 citations) and Software (103 citations). Janmenjoy Nayak has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Bighnaraj Naik, H. S. Behera, Danilo Pelusi, Manohar Mishra, H. Swapnarekha, Ajith Abraham, Pandit Byomakesha Dash, Asit Kumar Das, Uttam Ghosh and Suresh Chandra Satapathy. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Information Sciences.
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.