Ravikirana

29 total papers · 490 total citations
26 papers, 376 citations indexed

About

Ravikirana is a scholar working on Materials Chemistry, Mechanical Engineering and Organic Chemistry. According to data from OpenAlex, Ravikirana has authored 26 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 16 papers in Mechanical Engineering and 5 papers in Organic Chemistry. Recurrent topics in Ravikirana's work include Microstructure and Mechanical Properties of Steels (6 papers), Nanomaterials for catalytic reactions (5 papers) and High Temperature Alloys and Creep (5 papers). Ravikirana is often cited by papers focused on Microstructure and Mechanical Properties of Steels (6 papers), Nanomaterials for catalytic reactions (5 papers) and High Temperature Alloys and Creep (5 papers). Ravikirana collaborates with scholars based in India, Chile and Mexico. Ravikirana's co-authors include S. Saroja, B.S. Murty, A.K. Prasada Rao, S. Pramod, Srinivasa Rao Bakshi, R. Mythili, T. Jayakumar, S. Raju, C. Sudha and S. C. Gurumurthy and has published in prestigious journals such as Materials Science and Engineering A, Journal of Materials Science and Materials & Design.

In The Last Decade

Ravikirana

26 papers receiving 368 citations

Author Peers

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

Author						Papers	Cites
Ravikirana	268	227	134	53	30	26	376
Jie Shen	240 0.9×	199 0.9×	73 0.5×	36 0.7×	18 0.6×	26	368
Majid Jafari	267 1.0×	182 0.8×	116 0.9×	115 2.2×	13 0.4×	28	416
Chunming Liu	260 1.0×	179 0.8×	118 0.9×	54 1.0×	37 1.2×	21	346
Honggun Song	226 0.8×	318 1.4×	83 0.6×	51 1.0×	61 2.0×	27	434
K.N. Sasidhar	172 0.6×	180 0.8×	52 0.4×	97 1.8×	65 2.2×	31	356
Kuntal Sarkar	193 0.7×	213 0.9×	139 1.0×	44 0.8×	32 1.1×	24	408
Tung-Yuan Yung	147 0.5×	222 1.0×	93 0.7×	63 1.2×	38 1.3×	29	436
Mohammad Jafari Eskandari	196 0.7×	189 0.8×	50 0.4×	97 1.8×	52 1.7×	23	404
Zhengjun Yao	170 0.6×	213 0.9×	101 0.8×	65 1.2×	16 0.5×	20	361
Hailong Shen	111 0.4×	314 1.4×	86 0.6×	29 0.5×	15 0.5×	25	384

Countries citing papers authored by Ravikirana

Since Specialization

Citations

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

Fields of papers citing papers by Ravikirana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravikirana

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