Janmenjoy Nayak

120 papers and 2.5k indexed citations i.

About

Janmenjoy Nayak is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Janmenjoy Nayak has authored 120 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 23 papers in Computer Networks and Communications and 20 papers in Information Systems. Recurrent topics in Janmenjoy Nayak’s work include Metaheuristic Optimization Algorithms Research (17 papers), Anomaly Detection Techniques and Applications (16 papers) and COVID-19 diagnosis using AI (14 papers). Janmenjoy Nayak is often cited by papers focused on Metaheuristic Optimization Algorithms Research (17 papers), Anomaly Detection Techniques and Applications (16 papers) and COVID-19 diagnosis using AI (14 papers). Janmenjoy Nayak collaborates with scholars based in India, Italy and United States. Janmenjoy Nayak's 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 Luca G. Tallini and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Janmenjoy Nayak i

Fields of papers citing papers by Janmenjoy Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Janmenjoy Nayak

Since Specialization
Citations

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).

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.

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