Garima Mishra

59 total papers · 1.0k total citations
39 papers, 806 citations indexed

About

Garima Mishra is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Garima Mishra has authored 39 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 17 papers in Computational Mechanics and 12 papers in Mechanical Engineering. Recurrent topics in Garima Mishra's work include Fluid Dynamics and Turbulent Flows (13 papers), Nanofluid Flow and Heat Transfer (12 papers) and Heat Transfer Mechanisms (6 papers). Garima Mishra is often cited by papers focused on Fluid Dynamics and Turbulent Flows (13 papers), Nanofluid Flow and Heat Transfer (12 papers) and Heat Transfer Mechanisms (6 papers). Garima Mishra collaborates with scholars based in India, Norway and Russia. Garima Mishra's co-authors include Thallada Bhaskar, Jitendra Kumar, Anoop K. Gupta, Bhavya B. Krishna, Rawel Singh, I.M. Mishra, Ashwini Kumar Sharma, R.P. Chhabra, Akshay Srivastava and Neelkanth Nirmalkar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Renewable Energy.

In The Last Decade

Garima Mishra

36 papers receiving 794 citations

Author Peers

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

Author						Papers	Cites
Garima Mishra	479	239	219	169	78	39	806
G. Mageshwaran	334 0.7×	172 0.7×	143 0.7×	123 0.7×	85 1.1×	38	1.1k
Mauro Bracconi	249 0.5×	420 1.8×	279 1.3×	416 2.5×	62 0.8×	40	970
Xuhui Gao	190 0.4×	327 1.4×	203 0.9×	140 0.8×	60 0.8×	36	775
A.S. El-Shafay	451 0.9×	101 0.4×	392 1.8×	189 1.1×	186 2.4×	48	964
Jingying Xu	381 0.8×	331 1.4×	219 1.0×	154 0.9×	66 0.8×	41	926
Cláudio P. Fonte	465 1.0×	108 0.5×	206 0.9×	322 1.9×	54 0.7×	54	896
Xuesong Lu	225 0.5×	193 0.8×	281 1.3×	270 1.6×	53 0.7×	36	835
F.J. Rubio-Hernández	334 0.7×	221 0.9×	163 0.7×	113 0.7×	40 0.5×	65	1.1k
Karen Cacua	459 1.0×	158 0.7×	322 1.5×	98 0.6×	184 2.4×	34	855
Rui Xue	148 0.3×	141 0.6×	255 1.2×	274 1.6×	26 0.3×	51	917

Countries citing papers authored by Garima Mishra

Since Specialization

Citations

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

Fields of papers citing papers by Garima Mishra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garima Mishra

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