Suraj Pawar

908 total citations
34 papers, 556 citations indexed

About

Suraj Pawar is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Atmospheric Science. According to data from OpenAlex, Suraj Pawar has authored 34 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 17 papers in Computational Mechanics and 8 papers in Atmospheric Science. Recurrent topics in Suraj Pawar's work include Model Reduction and Neural Networks (20 papers), Fluid Dynamics and Turbulent Flows (9 papers) and Meteorological Phenomena and Simulations (8 papers). Suraj Pawar is often cited by papers focused on Model Reduction and Neural Networks (20 papers), Fluid Dynamics and Turbulent Flows (9 papers) and Meteorological Phenomena and Simulations (8 papers). Suraj Pawar collaborates with scholars based in United States, Norway and Netherlands. Suraj Pawar's co-authors include Omer San, Adil Rasheed, Sk. Mashfiqur Rahman, Prakash Vedula, Shady E. Ahmed, Stefano Brizzolara, Trond Kvamsdal, Traian Iliescu, I. M. Navon and Aditya Nair and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and Renewable Energy.

In The Last Decade

Suraj Pawar

31 papers receiving 545 citations

Peers

Suraj Pawar
Comparison fields: 5 of 66
  • Statistical and Nonlinear Physics 287
  • Computational Mechanics 246
  • Aerospace Engineering 106
  • Atmospheric Science 79
  • Electrical and Electronic Engineering 68
Replace Nicholas Geneva with:
Nicholas Geneva United States
Deep Ray United States
Eric Parish United States
Brendan Tracey United States
Gahl Berkooz Sweden
David A. Barajas‐Solano United States
Maziar S. Hemati United States
N. Benjamin Erichson United States
Nicholas Geneva United States View profile →
Citations per field, relative to Suraj Pawar
Suraj Pawar · 1×
Citations per year, relative to Suraj Pawar
Suraj Pawar · 1×

Countries citing papers authored by Suraj Pawar

Since Specialization
Citations

This map shows the geographic impact of Suraj Pawar'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 Suraj Pawar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suraj Pawar more than expected).

Fields of papers citing papers by Suraj Pawar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suraj Pawar. 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 Suraj Pawar. The network helps show where Suraj Pawar may publish in the future.

Co-authorship network of co-authors of Suraj Pawar

This figure shows the co-authorship network connecting the top 25 collaborators of Suraj Pawar. A scholar is included among the top collaborators of Suraj Pawar 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 Suraj Pawar. Suraj Pawar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 5
4 2
5 9
6 46
7 14
8 5
9 16
10 27
11 5
12 24
13 28
14 38
15
Deep learning based sub-grid scale closure for LES of Kraichnan turbulence
1
16 130
17 54
18 3
19 37
20
A Comparative Study of AAC Block & Clay Brick Under Gravity Loading For Buildings
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026