Suraj Nair

78 total papers · 1.5k total citations
42 papers, 898 citations indexed

About

Suraj Nair is a scholar working on Computational Mechanics, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Suraj Nair has authored 42 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 11 papers in Aerospace Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Suraj Nair's work include Combustion and flame dynamics (12 papers), Topic Modeling (7 papers) and Wind and Air Flow Studies (6 papers). Suraj Nair is often cited by papers focused on Combustion and flame dynamics (12 papers), Topic Modeling (7 papers) and Wind and Air Flow Studies (6 papers). Suraj Nair collaborates with scholars based in United States, Germany and India. Suraj Nair's co-authors include Tim Lieuwen, Yedidia Neumeier, Jerry Seitzman, T. M. Muruganandam, Hal Daumé, Philip Resnik, Ayah Zirikly, Jeff Jagoda, Alois Knoll and David Scarborough and has published in prestigious journals such as Psychiatry Research, Proceedings of the Combustion Institute and Journal of Propulsion and Power.

In The Last Decade

Suraj Nair

40 papers receiving 854 citations

Author Peers

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

Author						Papers	Cites
Suraj Nair	475	275	176	158	132	42	898
Md. Moinul Hossain	424 0.9×	63 0.2×	48 0.3×	212 1.3×	12 0.1×	64	967
Junle Wang	108 0.2×	136 0.5×	22 0.1×	77 0.5×	7 0.1×	44	888
Carlos Rosales	376 0.8×	54 0.2×	14 0.1×	64 0.4×	9 0.1×	38	930
Marco de Angelis	56 0.1×	25 0.1×	85 0.5×	24 0.2×	8 0.1×	73	1.0k
Ahsan Mahmood	52 0.1×	87 0.3×	45 0.3×	6 0.0×	72 0.5×	36	867
Dan Ding	72 0.2×	38 0.1×	42 0.2×	5 0.0×	37 0.3×	41	900
Athanasios Sideris	76 0.2×	38 0.1×	12 0.1×	59 0.4×	42 0.3×	41	839
Sheng Yang	444 0.9×	399 1.5×	91 0.5×	233 1.5×	2 0.0×	30	974
Zhiyong Huang	62 0.1×	45 0.2×	6 0.0×	38 0.2×	11 0.1×	87	704
Xiang Pan	58 0.1×	101 0.4×	75 0.4×	16 0.1×	2 0.0×	47	761

Countries citing papers authored by Suraj Nair

Since Specialization

Citations

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

Fields of papers citing papers by Suraj Nair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suraj Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Suraj Nair. A scholar is included among the top collaborators of Suraj Nair 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 Nair. Suraj Nair 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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