S. Srinivas

3.9k citations
101 papers · 3.4k · h-index 28

Impact in

Papers in

S. Srinivas

97 papers receiving 3.3k citations

Peers

S. Srinivas
Comparison fields: 5 of 80
  • Computational Mechanics 2.3k
  • Fluid Flow and Transfer Processes 613
  • Biomedical Engineering 3.0k
  • Mechanical Engineering 1.6k
  • Modeling and Simulation 159
Replace Muhammad Bilal with:
Muhammad Bilal Pakistan
Saeed Ehsan Awan Pakistan
A. Sinha India
Hafiz Abdul Wahab Pakistan
Naveed Ahmed Pakistan
Ammara Mehmood Pakistan
Elyas Shivanian Iran
S. S. Motsa South Africa
Hammad Alotaibi Saudi Arabia
Weifeng Xia China
S. Srinivas relative to Muhammad Bilal Pakistan Muhammad Bilal's profile →
Citations per field
00.5×9.6×
Muhammad Bilal · 1×
Citations per year

Countries citing papers authored by S. Srinivas

Since Specialization
Citations

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

Fields of papers citing papers by S. Srinivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Srinivas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Srinivas Line = papers co-authored together S. Srinivas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008301
2 2009295
3 2007291
4 2009226
5 2009166
6 2008161
7 2007135
8 2009127
9 2010120
10 201193
11 200969
12 201661
13 201857
14 200753
15 201249
16 200448
17 201044
18 201643
19 202037
20 201037

About S. Srinivas

S. Srinivas is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Modeling and Simulation and Artificial Intelligence, having authored 101 papers that have together received 3.4k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (82 papers), Fluid Dynamics and Turbulent Flows (41 papers), Heat Transfer Mechanisms (39 papers), Heat and Mass Transfer in Porous Media (23 papers), Heat Transfer and Optimization (15 papers), Fluid Dynamics and Vibration Analysis (11 papers), Fractional Differential Equations Solutions (9 papers) and Rheology and Fluid Dynamics Studies (7 papers). The work is most often cited by research in Computational Mechanics (2.3k citations), Fluid Flow and Transfer Processes (613 citations), Biomedical Engineering (3.0k citations), Mechanical Engineering (1.6k citations) and Modeling and Simulation (159 citations). S. Srinivas has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include M. Kothandapani, R. Muthuraj, R. Gayathri, A. Subramanyam Reddy, Ch. Aswani Kumar, T. R. Ramamohan, V. Pushparaj, B. S. Rajendra Prasad, P. Bala Anki Reddy and Aswani Kumar Cherukuri. Their work appears in journals such as International Communications in Heat and Mass Transfer, Communications in Nonlinear Science and Numerical Simulation, Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, Journal of Porous Media and Numerical Heat Transfer Part A Applications.

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.

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