Hanumesh Vaidya

3.8k citations
164 papers · 3.2k indexed · 3 hit papers · h-index 31
Topics
Nanofluid Flow and Heat Transfer (150 papers)Heat Transfer Mechanisms (60 papers)Fluid Dynamics and Turbulent Flows (53 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsJournal of Materials Science

In The Last Decade

Hanumesh Vaidya

156 papers receiving 3.0k citations

Hit Papers

Hybrid-nanofluid magneto-convective flow and porous media...20232026202420252024202320254080120

Peers

Hanumesh Vaidya
Comparison fields: 5 of 89
  • Biomedical Engineering 3.0k
  • Computational Mechanics 2.1k
  • Mechanical Engineering 1.8k
  • Fluid Flow and Transfer Processes 478
  • Electrical and Electronic Engineering 148
Replace Katta Ramesh with:
Katta Ramesh India
Kotha Gangadhar India
M. Gnaneswara Reddy India
J. Prakash India
N. Ameer Ahammad Saudi Arabia
D. Srinivasacharya India
K. V. Prasad India
Mohsan Hassan Pakistan
Safia Akram Pakistan
Rajashekhar Choudhari India
Hanumesh Vaidya relative to Katta Ramesh India Katta Ramesh's profile →
Citations per field
00.5×1.5×2.1×
Katta Ramesh · 1×
Citations per year

Countries citing papers authored by Hanumesh Vaidya

Since Specialization
Citations

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

Fields of papers citing papers by Hanumesh Vaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanumesh Vaidya

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 5
3 4
4 1
5 5
6 11
7 7
8 18
9 6
10 16
11 4
12 20
13 42
14 8
15 7
16 13
17 62
18 27
19 29
20 59

About Hanumesh Vaidya

Hanumesh Vaidya is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Biomedical Engineering, having authored 164 papers that have together received 3.2k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (150 papers), Heat Transfer Mechanisms (60 papers) and Fluid Dynamics and Turbulent Flows (53 papers). The work is most often cited by research in Computational Mechanics (2.1k citations), Fluid Flow and Transfer Processes (478 citations) and Biomedical Engineering (3.0k citations). Hanumesh Vaidya has collaborated with scholars based in India, Algeria and United States. Frequent co-authors include K. V. Prasad, Rajashekhar Choudhari, Manjunatha Gudekote, Fateh Mebarek‐Oudina, K. Vajravelu, Ines Chabani, Oluwole Daniel Makinde, Isaac Lare Animasaun, Sami Ullah Khan and A. I. Ismail. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Materials Science.

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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