Sreekanth Pannala
- Mechanical Engineering top 0.5%
- Computational Mechanics top 0.2%
- Automotive Engineering top 0.2%
- Ocean Engineering top 0.5%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Ryan DehoffS. S. BabuF.A. ListWilliam J. SamesTingwen LiJanine E. GalvinRahul GargSrdjan Simunovic
- Topics
- Granular flow and fluidized beds (28 papers)Particle Dynamics in Fluid Flows (19 papers)Advanced Battery Technologies Research (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PhysicsPhysical Review B
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Sreekanth Pannala
98 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Mechanical Engineering 3.0k
- Computational Mechanics 2.1k
- Automotive Engineering 1.9k
- Ocean Engineering 1.0k
- Electrical and Electronic Engineering 765
Countries citing papers authored by Sreekanth Pannala
This map shows the geographic impact of Sreekanth Pannala'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 Sreekanth Pannala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sreekanth Pannala more than expected).
Fields of papers citing papers by Sreekanth Pannala
This network shows the impact of papers produced by Sreekanth Pannala. 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 Sreekanth Pannala. The network helps show where Sreekanth Pannala may publish in the future.
Co-authorship network of co-authors of Sreekanth Pannala
This figure shows the co-authorship network connecting the top 25 collaborators of Sreekanth Pannala. A scholar is included among the top collaborators of Sreekanth Pannala 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 Sreekanth Pannala. Sreekanth Pannala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 37 | |
| 5 | 7 | |
| 6 | The metallurgy and processing science of metal additive manufacturingbreakdown → | 1886 |
| 7 | 3 | |
| 8 | 94 | |
| 9 | 15 | |
| 10 | 8 | |
| 11 | 89 | |
| 12 | High resolution simulations of coal jets in a gasifier | 1 |
| 13 | 38 | |
| 14 | Accelerating Clean Coal Gasifier Designs with Hybrid MPI/OpenMP High Performance Computing | 3 |
| 15 | 16 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 7 | |
| 19 | 14 | |
| 20 | 4 |
About Sreekanth Pannala
Sreekanth Pannala is a scholar working on Computational Mechanics, Automotive Engineering and Ocean Engineering, having authored 100 papers that have together received 5.7k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (28 papers), Particle Dynamics in Fluid Flows (19 papers) and Advanced Battery Technologies Research (15 papers). The work is most often cited by research in Automotive Engineering (1.9k citations), Computational Mechanics (2.1k citations) and Mechanical Engineering (3.0k citations). Sreekanth Pannala has collaborated with scholars based in United States, India and France. Frequent co-authors include Ryan Dehoff, S. S. Babu, F.A. List, William J. Sames, Tingwen Li, Janine E. Galvin, Rahul Garg, Srdjan Simunovic, Madhava Syamlal and Yesim Igci. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Physical Review B.
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.