Налини Равишанкер
- Safety, Risk, Reliability and Quality top 0.5%
- Marketing top 1%
- Organizational Behavior and Human Resource Management top 2%
- Transportation top 1%
- Statistics and Probability top 1%
- Co-authors
- John N. IvanV. KumarRajkumar VenkatesanXiao QinBruce G. S. HardieСунил ГуптаDominique M. HanssensS. Sriram
- Topics
- Financial Risk and Volatility Modeling (28 papers)Traffic and Road Safety (24 papers)Complex Systems and Time Series Analysis (16 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Налини Равишанкер
111 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 120
- Safety, Risk, Reliability and Quality 648
- Marketing 638
- Organizational Behavior and Human Resource Management 353
- Transportation 346
- Statistics and Probability 272
Countries citing papers authored by Налини Равишанкер
This map shows the geographic impact of Налини Равишанкер'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 Налини Равишанкер with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Налини Равишанкер more than expected).
Fields of papers citing papers by Налини Равишанкер
This network shows the impact of papers produced by Налини Равишанкер. 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 Налини Равишанкер. The network helps show where Налини Равишанкер may publish in the future.
Co-authorship network of co-authors of Налини Равишанкер
This figure shows the co-authorship network connecting the top 25 collaborators of Налини Равишанкер. A scholar is included among the top collaborators of Налини Равишанкер 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 Налини Равишанкер. Налини Равишанкер 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 70 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | BAYESIAN INFERENCE FOR VECTOR ARMA MODELS WITH STABLE INNOVATIONS | 0 |
| 15 | 16 | |
| 16 | Temporal Modeling of Highway Crash Severity for Seniors and Other Involved Persons | 1 |
| 17 | Gap Acceptance of Elderly Drivers Making Left Turns at Unsignalized Intersections | 2 |
| 18 | 1 | |
| 19 | 7 | |
| 20 | Bayesian inference for time series with infinite variance stable innovations | 5 |
About Налини Равишанкер
Налини Равишанкер is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality and Finance, having authored 120 papers that have together received 2.1k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (28 papers), Traffic and Road Safety (24 papers) and Complex Systems and Time Series Analysis (16 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (648 citations), Marketing (638 citations) and Transportation (346 citations). Налини Равишанкер has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include John N. Ivan, V. Kumar, Rajkumar Venkatesan, Xiao Qin, Bruce G. S. Hardie, Сунил Гупта, Dominique M. Hanssens, S. Sriram, Bonnie K. Ray and Jeffrey Pai. Their work appears in journals such as Journal of the American Statistical Association, Journal of Marketing and Technometrics.
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.