Siddharth Thakur

67 total papers · 507 total citations
30 papers, 363 citations indexed

About

Siddharth Thakur is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Electrical and Electronic Engineering. According to data from OpenAlex, Siddharth Thakur has authored 30 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 6 papers in Fluid Flow and Transfer Processes and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Siddharth Thakur's work include Computational Fluid Dynamics and Aerodynamics (10 papers), Combustion and flame dynamics (8 papers) and Advanced Combustion Engine Technologies (6 papers). Siddharth Thakur is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (10 papers), Combustion and flame dynamics (8 papers) and Advanced Combustion Engine Technologies (6 papers). Siddharth Thakur collaborates with scholars based in United States and India. Siddharth Thakur's co-authors include Wei Shyy, Hong Ouyang, Matthias Ihme, Ashok Kumar Dasmahapatra, Dipankar Bandyopadhyay, Peter Ma, Jean-Pierre Hickey, Jeffrey Wright, Sepideh Razavi and Mitradip Bhattacharjee and has published in prestigious journals such as Langmuir, ACS Applied Materials & Interfaces and Industrial & Engineering Chemistry Research.

In The Last Decade

Siddharth Thakur

24 papers receiving 336 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Siddharth Thakur	220	91	58	57	48	30	363
Carl Gazley	212 1.0×	90 1.0×	32 0.6×	49 0.9×	13 0.3×	27	322
Dwight W. Senser	270 1.2×	76 0.8×	75 1.3×	48 0.8×	23 0.5×	22	401
Benjamin Duret	297 1.4×	42 0.5×	52 0.9×	42 0.7×	28 0.6×	26	403
Hao Tang	118 0.5×	142 1.6×	19 0.3×	37 0.6×	48 1.0×	43	295
Alireza Mohammadi	249 1.1×	45 0.5×	80 1.4×	77 1.4×	18 0.4×	23	394
Joseph H. Spurk	187 0.8×	88 1.0×	21 0.4×	52 0.9×	84 1.8×	32	333
Evgeniy Shapiro	277 1.3×	128 1.4×	20 0.3×	73 1.3×	15 0.3×	43	391
Jiang Li	130 0.6×	94 1.0×	162 2.8×	34 0.6×	36 0.8×	30	376
Donato Fontanarosa	129 0.6×	132 1.5×	50 0.9×	34 0.6×	127 2.6×	36	311
Yanyan Feng	192 0.9×	81 0.9×	44 0.8×	45 0.8×	18 0.4×	32	353

Countries citing papers authored by Siddharth Thakur

Since Specialization

Citations

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

Fields of papers citing papers by Siddharth Thakur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siddharth Thakur

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

All Works

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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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