Prathiba Natesan
- Management Science and Operations Research top 5%
- Statistics and Probability top 5%
- Clinical Psychology
- Developmental and Educational Psychology top 10%
- Education
- Co-authors
- Larry V. HedgesNicole H. WeissAteka A. ContractorRatna NandakumarTom MinkaJonathan D. RubrightJon D. ElhaiSanjukta Pookulangara
- Topics
- Statistical Methods and Bayesian Inference (6 papers)Psychometric Methodologies and Testing (6 papers)Technology Adoption and User Behaviour (5 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchInformation Systems and Management
- Partner nations
- United StatesLebanonMexico
In The Last Decade
Prathiba Natesan
32 papers receiving 404 citations
Peers
Comparison fields: 5 of 102
- Management Science and Operations Research 99
- Statistics and Probability 77
- Clinical Psychology 76
- Developmental and Educational Psychology 65
- Education 59
Countries citing papers authored by Prathiba Natesan
This map shows the geographic impact of Prathiba Natesan'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 Prathiba Natesan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prathiba Natesan more than expected).
Fields of papers citing papers by Prathiba Natesan
This network shows the impact of papers produced by Prathiba Natesan. 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 Prathiba Natesan. The network helps show where Prathiba Natesan may publish in the future.
Co-authorship network of co-authors of Prathiba Natesan
This figure shows the co-authorship network connecting the top 25 collaborators of Prathiba Natesan. A scholar is included among the top collaborators of Prathiba Natesan 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 Prathiba Natesan. Prathiba Natesan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 12 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 15 | |
| 7 | 22 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 33 | |
| 11 | 42 | |
| 12 | 5 | |
| 13 | 19 | |
| 14 | 2 | |
| 15 | 43 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 14 | |
| 19 | 13 | |
| 20 | The Relationship between Verve and the Academic Achievement of African American Students in Reading and Mathematics in an Urban Middle School. | 14 |
About Prathiba Natesan
Prathiba Natesan is a scholar working on Statistics and Probability, Management Science and Operations Research and Information Systems and Management, having authored 32 papers that have together received 445 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Psychometric Methodologies and Testing (6 papers) and Technology Adoption and User Behaviour (5 papers). The work is most often cited by research in Statistics and Probability (77 citations), Management Science and Operations Research (99 citations) and Information Systems and Management (41 citations). Prathiba Natesan has collaborated with scholars based in United States, Lebanon and Mexico. Frequent co-authors include Larry V. Hedges, Nicole H. Weiss, Ateka A. Contractor, Ratna Nandakumar, Tom Minka, Jonathan D. Rubright, Jon D. Elhai, Sanjukta Pookulangara, Anthony J. Onwuegbuzie and Isadore Newman. Their work appears in journals such as PLoS ONE, Frontiers in Psychology and Psychological Assessment.
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.