Nary Subramanian

619 citations
53 papers · 357 indexed · h-index 12

Nary Subramanian

49 papers receiving 320 citations

Peers

Nary Subramanian
Comparison fields: 5 of 49
  • Software 69
  • Information Systems 214
  • Artificial Intelligence 179
  • Safety, Risk, Reliability and Quality 50
  • Management Information Systems 45
Replace Leı̈la Kloul with:
Leı̈la Kloul France
Pierre de Saqui‐Sannes France
Joel Greenyer Germany
J. Lee Taiwan
Mario Trapp Germany
Luca Berardinelli Austria
Hasan Sözer Türkiye
Henrik Lönn Sweden
Paulo Romero Martins Maciel Brazil
Aida Čaušević Sweden
Nary Subramanian relative to Leı̈la Kloul France Leı̈la Kloul's profile →
Citations per field
00.5×2.8×
Leı̈la Kloul · 1×
Citations per year

Countries citing papers authored by Nary Subramanian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 14 scholars most cited alongside Nary Subramanian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nary Subramanian Line = papers co-authored together Nary Subramanian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20222
3
JOB SATISFACTION OF SECONDARY SCHOOL TEACHERS WITH REGARD TO MEDIUM OF INSTRUCTION AND MONTHLY INCOME
20190
4 20181
5
Study of Occurrence of snails in Kanchipuram district of Tamil Nadu
20181
6 20152
7
Studying interrelationships of safety and security for software assurance in cyber-physical systems: Approach based on bayesian belief networks
201326
8 20120
9 20113
10 20111
11 20101
12 20098
13 20082
14 20074
15 20074
16 20064
17 20056
18 20033
19 200214
20
Metrics for Software Adaptability
200127

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), Software Engineering Research (13 papers), Software System Performance and Reliability (9 papers), Software Reliability and Analysis Research (5 papers), Safety Systems Engineering in Autonomy (4 papers), Information and Cyber Security (3 papers) and Information Technology Governance and Strategy (3 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 Science of Computer Programming, Computer Standards & Interfaces, Journal of Systems and Software, Eksploatacja i Niezawodnosc - Maintenance and Reliability and Journal of Systems Architecture.

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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