Nary Subramanian
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Software top 5%
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Lawrence ChungJanusz ZalewskiAndrew J. KorneckiYeong-Tae SongCarlos JuizKang ZhangRamón PuigjanerBogdan Czejdo
- Topics
- Advanced Software Engineering Methodologies (26 papers)Service-Oriented Architecture and Web Services (16 papers)Software Engineering Research (13 papers)
- Partner nations
- United StatesSpainIndia
In The Last Decade
Nary Subramanian
49 papers receiving 320 citations
Peers
Comparison fields: 5 of 49
- Information Systems 214
- Artificial Intelligence 179
- Computer Networks and Communications 105
- Software 69
- Safety, Risk, Reliability and Quality 50
Countries citing papers authored by Nary Subramanian
This map shows the geographic impact of Nary Subramanian'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 Nary Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nary Subramanian more than expected).
Fields of papers citing papers by Nary Subramanian
This network shows the impact of papers produced by Nary Subramanian. 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 Nary Subramanian. The network helps show where Nary Subramanian may publish in the future.
Co-authorship network of co-authors of Nary Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of Nary Subramanian. A scholar is included among the top collaborators of Nary Subramanian 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 Nary Subramanian. Nary Subramanian 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 | 2 | |
| 3 | JOB SATISFACTION OF SECONDARY SCHOOL TEACHERS WITH REGARD TO MEDIUM OF INSTRUCTION AND MONTHLY INCOME | 0 |
| 4 | 1 | |
| 5 | Study of Occurrence of snails in Kanchipuram district of Tamil Nadu | 1 |
| 6 | 2 | |
| 7 | Studying interrelationships of safety and security for software assurance in cyber-physical systems: Approach based on bayesian belief networks | 26 |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 14 | |
| 20 | Metrics for Software Adaptability | 27 |
About Nary Subramanian
Nary Subramanian is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 53 papers that have together received 357 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (26 papers), Service-Oriented Architecture and Web Services (16 papers) and Software Engineering Research (13 papers). The work is most often cited by research in Software (69 citations), Information Systems (214 citations) and Artificial Intelligence (179 citations). Nary Subramanian has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Lawrence Chung, Janusz Zalewski, Andrew J. Kornecki, Yeong-Tae Song, Carlos Juiz, Kang Zhang, Ramón Puigjaner, Bogdan Czejdo, A. Govindarajan and B Suresh. Their work appears in journals such as Journal of Systems and Software, IEEE Systems Journal and Computer Standards & Interfaces.
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.