Pirooz Vakili
- Management Science and Operations Research top 1%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Management Information Systems top 5%
- Industrial and Manufacturing Engineering top 2%
- Co-authors
- Y. C. HoR.S. SreenivasSándor VajdaIoannis Ch. PaschalidisDima KozakovLeonardo SantiagoYang ShenDmitri Beglov
- Topics
- Simulation Techniques and Applications (18 papers)Protein Structure and Dynamics (17 papers)Computational Drug Discovery Methods (11 papers)
- Cited by
- Management Science and Operations ResearchManagement Information SystemsIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlManagement Science
- Partner nations
- United StatesBrazilCyprus
In The Last Decade
Pirooz Vakili
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 138
- Management Science and Operations Research 412
- Molecular Biology 340
- Computational Theory and Mathematics 279
- Management Information Systems 193
- Industrial and Manufacturing Engineering 182
Countries citing papers authored by Pirooz Vakili
This map shows the geographic impact of Pirooz Vakili'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 Pirooz Vakili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pirooz Vakili more than expected).
Fields of papers citing papers by Pirooz Vakili
This network shows the impact of papers produced by Pirooz Vakili. 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 Pirooz Vakili. The network helps show where Pirooz Vakili may publish in the future.
Co-authorship network of co-authors of Pirooz Vakili
This figure shows the co-authorship network connecting the top 25 collaborators of Pirooz Vakili. A scholar is included among the top collaborators of Pirooz Vakili 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 Pirooz Vakili. Pirooz Vakili is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 38 | |
| 14 | 18 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 3 |
About Pirooz Vakili
Pirooz Vakili is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Simulation Techniques and Applications (18 papers), Protein Structure and Dynamics (17 papers) and Computational Drug Discovery Methods (11 papers). The work is most often cited by research in Management Science and Operations Research (412 citations), Management Information Systems (193 citations) and Industrial and Manufacturing Engineering (182 citations). Pirooz Vakili has collaborated with scholars based in United States, Brazil and Cyprus. Frequent co-authors include Y. C. Ho, R.S. Sreenivas, Sándor Vajda, Ioannis Ch. Paschalidis, Dima Kozakov, Leonardo Santiago, Yang Shen, Dmitri Beglov, Jian-Qiang Hu and Keyong Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control 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.