M. P. Reddy
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Molecular Biology
- Co-authors
- Richard Y. WangHenry B. KonAmar GuptaBiren PrasadKathleen R. BlakePaul S. MillerAkira MurakamiCheryl H. Agris
- Topics
- Semantic Web and Ontologies (6 papers)Advanced Database Systems and Queries (6 papers)Service-Oriented Architecture and Web Services (3 papers)
- Cited by
- Management Science and Operations ResearchManagement Information SystemsMedical Terminology
- Journals
- BiochemistryThe Journal of Organic ChemistryIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- United StatesIndia
In The Last Decade
M. P. Reddy
10 papers receiving 341 citations
Peers
Comparison fields: 5 of 98
- Management Science and Operations Research 123
- Artificial Intelligence 108
- Computer Networks and Communications 102
- Information Systems 101
- Molecular Biology 96
Countries citing papers authored by M. P. Reddy
This map shows the geographic impact of M. P. Reddy'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 M. P. Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. P. Reddy more than expected).
Fields of papers citing papers by M. P. Reddy
This network shows the impact of papers produced by M. P. Reddy. 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 M. P. Reddy. The network helps show where M. P. Reddy may publish in the future.
Co-authorship network of co-authors of M. P. Reddy
This figure shows the co-authorship network connecting the top 25 collaborators of M. P. Reddy. A scholar is included among the top collaborators of M. P. Reddy 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 M. P. Reddy. M. P. Reddy 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 | 5 | |
| 3 | Pharmacognostical evaluation and phytochemical studies on Ayurvedic nutritional fruits of Trapa natans L. | 6 |
| 4 | Therapeutic uses of Flowers - Leads from Traditional System of Medicine | 8 |
| 5 | Quality data objects | 0 |
| 6 | Anantha - a promising mulberry variety suitable for semi arid conditions. | 0 |
| 7 | 10 | |
| 8 | 16 | |
| 9 | 13 | |
| 10 | 146 | |
| 11 | 75 | |
| 12 | 87 | |
| 13 | 27 |
About M. P. Reddy
M. P. Reddy is a scholar working on Health Informatics, Computer Networks and Communications and Artificial Intelligence, having authored 13 papers that have together received 393 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Advanced Database Systems and Queries (6 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Management Science and Operations Research (123 citations), Management Information Systems (75 citations) and Medical Terminology (2 citations). M. P. Reddy has collaborated with scholars based in United States and India. Frequent co-authors include Richard Y. Wang, Henry B. Kon, Amar Gupta, Biren Prasad, Kathleen R. Blake, Paul S. Miller, Akira Murakami, Cheryl H. Agris, G. S. K. RAO and Michael Siegel. Their work appears in journals such as Biochemistry, The Journal of Organic Chemistry and IEEE Transactions on Knowledge and Data Engineering.
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.