S. Parthasarathy
- Management Information Systems top 5%
- Information Systems top 10%
- Information Systems and Management top 5%
- Artificial Intelligence
- Management Science and Operations Research
- Co-authors
- Srinarayan SharmaN. AnbazhaganMaya DanevaS. PadmapriyaMuthu RamachandranSan MurugesanKalaiarasi Sonai Muthu AnbananthenS. Sridevi
- Topics
- ERP Systems Implementation and Impact (19 papers)Software Engineering Research (11 papers)Information Technology Governance and Strategy (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessComputer
- Partner nations
- IndiaNetherlandsUnited States
In The Last Decade
S. Parthasarathy
40 papers receiving 333 citations
Peers
Comparison fields: 5 of 97
- Management Information Systems 176
- Information Systems 87
- Information Systems and Management 68
- Artificial Intelligence 40
- Management Science and Operations Research 31
Countries citing papers authored by S. Parthasarathy
This map shows the geographic impact of S. Parthasarathy'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. Parthasarathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Parthasarathy more than expected).
Fields of papers citing papers by S. Parthasarathy
This network shows the impact of papers produced by S. Parthasarathy. 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. Parthasarathy. The network helps show where S. Parthasarathy may publish in the future.
Co-authorship network of co-authors of S. Parthasarathy
This figure shows the co-authorship network connecting the top 25 collaborators of S. Parthasarathy. A scholar is included among the top collaborators of S. Parthasarathy 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 S. Parthasarathy. S. Parthasarathy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 37 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | AN EFFECTIVE PREDICTION SYSTEM FOR TIME SERIES DATA USING PATTERN MATCHING ALGORITHMS | 4 |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 17 | |
| 14 | Software Quality Metrics for CRM: A Quantitative Approach | 0 |
| 15 | 2 | |
| 16 | 17 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 17 | |
| 20 | AN EXPLORATORY CASE STUDY ON PERFORMANCE ENHANCEMENT OF ERP PROJECTS 1 | 5 |
About S. Parthasarathy
S. Parthasarathy is a scholar working on Management Information Systems, Information Systems and Management and Information Systems, having authored 44 papers that have together received 377 indexed citations. Recurring topics across this work include ERP Systems Implementation and Impact (19 papers), Software Engineering Research (11 papers) and Information Technology Governance and Strategy (7 papers). The work is most often cited by research in Management Information Systems (176 citations), Information Systems and Management (68 citations) and Software (16 citations). S. Parthasarathy has collaborated with scholars based in India, Netherlands and United States. Frequent co-authors include Srinarayan Sharma, N. Anbazhagan, Maya Daneva, S. Padmapriya, Muthu Ramachandran, San Murugesan, Kalaiarasi Sonai Muthu Anbananthen, S. Sridevi, S. Rajaram and Girish H. Subramanian. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer.
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.