M. Raghavachari
- Industrial and Manufacturing Engineering top 1%
- Statistics and Probability top 2%
- Statistics, Probability and Uncertainty top 2%
- Computer Networks and Communications top 10%
- Management Information Systems top 10%
- Co-authors
- John MittenthalVinay PrasadPasquale SulloAparna SrinivasanGeorge C. RungerLucien Le CamZ. GovindarajuluAbba Μ. Krieger
- Topics
- Scheduling and Optimization Algorithms (11 papers)Advanced Statistical Process Monitoring (7 papers)Advanced Manufacturing and Logistics Optimization (6 papers)
- Cited by
- Industrial and Manufacturing EngineeringStatistics and ProbabilityStatistics, Probability and Uncertainty
- Partner nations
- United StatesIndiaPakistan
In The Last Decade
M. Raghavachari
37 papers receiving 727 citations
Peers
Comparison fields: 5 of 95
- Industrial and Manufacturing Engineering 321
- Statistics and Probability 171
- Statistics, Probability and Uncertainty 144
- Computer Networks and Communications 135
- Management Information Systems 76
Countries citing papers authored by M. Raghavachari
This map shows the geographic impact of M. Raghavachari'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. Raghavachari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Raghavachari more than expected).
Fields of papers citing papers by M. Raghavachari
This network shows the impact of papers produced by M. Raghavachari. 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. Raghavachari. The network helps show where M. Raghavachari may publish in the future.
Co-authorship network of co-authors of M. Raghavachari
This figure shows the co-authorship network connecting the top 25 collaborators of M. Raghavachari. A scholar is included among the top collaborators of M. Raghavachari 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. Raghavachari. M. Raghavachari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 29 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | 7 | |
| 11 | 79 | |
| 12 | 44 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 37 | |
| 17 | 80 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 15 |
About M. Raghavachari
M. Raghavachari is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 37 papers that have together received 799 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (11 papers), Advanced Statistical Process Monitoring (7 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (321 citations), Statistics and Probability (171 citations) and Statistics, Probability and Uncertainty (144 citations). M. Raghavachari has collaborated with scholars based in United States, India and Pakistan. Frequent co-authors include John Mittenthal, Vinay Prasad, Pasquale Sullo, Aparna Srinivasan, George C. Runger, Lucien Le Cam, Z. Govindarajulu, Abba Μ. Krieger, Umar M. Al‐Turki and Richard G. Krutchkoff. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Management Science.
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.