S. V. Subrahmanya
- Health Informatics top 10%
- Software top 10%
- Information Systems top 5%
- Service-Oriented Architecture and Web Services 6
- Software Engineering Research 2
-
- Business Process Modeling and Analysis 3
- Supply Chain and Inventory Management 3
- Health Information Management top 10%
-
- Auction Theory and Applications 5
-
- Climate Change Policy and Economics 3
-
- Software System Performance and Reliability 3
-
- Face recognition and analysis 2
- Co-authors
- B. M. Zeeshan HameedNithesh NaikBhaskar SomaniVathsala PatilDasharathraj K ShettyKomal SmritiRahul PaulY. Narahari
- Journals
- Sadhana (1 paper)The Electronic Journal of Combinatorics (1 paper)Irish Journal of Medical Science (1971 -) (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
S. V. Subrahmanya
21 papers receiving 217 citations
Peers
Comparison fields: 5 of 94
- Health Informatics 16
- Software 37
- Information Systems 111
- Management Information Systems 35
- Health Information Management 16
Countries citing papers authored by S. V. Subrahmanya
This map shows the geographic impact of S. V. Subrahmanya'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 S. V. Subrahmanya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. V. Subrahmanya more than expected).
Fields of papers citing papers by S. V. Subrahmanya
This network shows the impact of papers produced by S. V. Subrahmanya. 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 S. V. Subrahmanya. The network helps show where S. V. Subrahmanya may publish in the future.
Co-authorship network
The 13 scholars most cited alongside S. V. Subrahmanya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2021 | 91 | |
| 3 | 2014 | 2 | |
| 4 | Compression Schemes for Mining Large Datasets: A Machine Learning Perspective | 2013 | 2 |
| 5 | 2013 | 5 | |
| 6 | 2013 | 1 | |
| 7 | 2012 | 1 | |
| 8 | 2012 | 1 | |
| 9 | 2012 | 2 | |
| 10 | 2011 | 4 | |
| 11 | 2010 | 9 | |
| 12 | Mechanism design problems in carbon economics. | 2010 | 4 |
| 13 | An Intelligent Procurement Marketplace forWeb Services Composition | 2007 | 7 |
| 14 | 2007 | 25 | |
| 15 | 2007 | 25 | |
| 16 | 2007 | 12 | |
| 17 | 2005 | 4 | |
| 18 | Servicing the Future: Web Services. | 2004 | 1 |
| 19 | 2002 | 45 | |
| 20 | 2002 | 2 |
About S. V. Subrahmanya
S. V. Subrahmanya is a scholar working on Management Information Systems, Health Informatics and Information Systems, having authored 22 papers that have together received 249 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (6 papers), Auction Theory and Applications (5 papers), Business Process Modeling and Analysis (3 papers), Supply Chain and Inventory Management (3 papers), Climate Change Policy and Economics (3 papers), Software System Performance and Reliability (3 papers), Software Engineering Research (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Health Informatics (16 citations), Software (37 citations) and Information Systems (111 citations). S. V. Subrahmanya has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include B. M. Zeeshan Hameed, Nithesh Naik, Bhaskar Somani, Vathsala Patil, Dasharathraj K Shetty, Komal Smriti, Rahul Paul, Y. Narahari, Y. Narahari and M. Narasimha Murty. Their work appears in journals such as Sadhana, The Electronic Journal of Combinatorics and Irish Journal of Medical Science (1971 -).
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.