Sravya Tekumalla

67 total papers · 1.6k total citations
41 papers, 1.2k citations indexed

About

Sravya Tekumalla is a scholar working on Mechanical Engineering, Biomaterials and Materials Chemistry. According to data from OpenAlex, Sravya Tekumalla has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Mechanical Engineering, 28 papers in Biomaterials and 23 papers in Materials Chemistry. Recurrent topics in Sravya Tekumalla's work include Aluminum Alloys Composites Properties (30 papers), Magnesium Alloys: Properties and Applications (28 papers) and Additive Manufacturing Materials and Processes (7 papers). Sravya Tekumalla is often cited by papers focused on Aluminum Alloys Composites Properties (30 papers), Magnesium Alloys: Properties and Applications (28 papers) and Additive Manufacturing Materials and Processes (7 papers). Sravya Tekumalla collaborates with scholars based in Singapore, France and India. Sravya Tekumalla's co-authors include Manoj Gupta, Matteo Seita, Sankaranarayanan Seetharaman, Abdulhakim A. Almajid, Shubo Gao, P. S. Sankara Rama Krishnan, Martial Duchamp, Xu Song, Yang Chen and Zhiheng Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Scientific Reports.

In The Last Decade

Sravya Tekumalla

41 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Sravya Tekumalla 1.0k 654 532 235 150 41 1.2k
Mert Çelikin 978 0.9× 672 1.0× 637 1.2× 198 0.8× 151 1.0× 51 1.4k
Liwen Chen 711 0.7× 357 0.5× 411 0.8× 273 1.2× 197 1.3× 48 1.2k
Tongzheng Xin 810 0.8× 412 0.6× 453 0.9× 304 1.3× 142 0.9× 30 1.0k
Xianquan Jiang 959 0.9× 532 0.8× 524 1.0× 364 1.5× 203 1.4× 66 1.4k
H.K. Lin 1.0k 1.0× 512 0.8× 613 1.2× 192 0.8× 158 1.1× 60 1.4k
Hui Fu 782 0.8× 453 0.7× 833 1.6× 231 1.0× 183 1.2× 44 1.3k
P. Hidalgo-Manrique 907 0.9× 513 0.8× 610 1.1× 244 1.0× 184 1.2× 23 1.1k
J.J. Blandin 1.1k 1.0× 310 0.5× 544 1.0× 247 1.1× 151 1.0× 46 1.2k
Hui–Yuan Wang 1.0k 1.0× 793 1.2× 580 1.1× 407 1.7× 199 1.3× 56 1.4k
Yangxin Li 677 0.7× 517 0.8× 503 0.9× 222 0.9× 197 1.3× 38 995

Countries citing papers authored by Sravya Tekumalla

Since Specialization
Citations

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

Fields of papers citing papers by Sravya Tekumalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sravya Tekumalla

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