Akhilesh Jha

646 citations
34 papers · 506 indexed · h-index 12
Topics
Computational Fluid Dynamics and Aerodynamics (9 papers)Structural Analysis and Optimization (7 papers)Fluid Dynamics and Turbulent Flows (5 papers)
Partner nations
United StatesJapanIndia

In The Last Decade

Akhilesh Jha

32 papers receiving 480 citations

Peers

Akhilesh Jha
Comparison fields: 5 of 56
  • Civil and Structural Engineering 235
  • Aerospace Engineering 179
  • Mechanics of Materials 124
  • Computational Mechanics 113
  • Mechanical Engineering 97
Replace Matthew Stickland with:
Matthew Stickland United Kingdom
Mohammad Mehdi Alishahi Iran
Guy Caignaert France
Wei Qiu Canada
Yuan Long China
S.V. Prabhu India
A. Pinarbasi Türkiye
Julieanna Preston New Zealand
Thomas Staubli Switzerland
Akhilesh Jha relative to Matthew Stickland United Kingdom Matthew Stickland's profile →
Citations per field
00.5×2.6×
Matthew Stickland · 1×
Citations per year

Countries citing papers authored by Akhilesh Jha

Since Specialization
Citations

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

Fields of papers citing papers by Akhilesh Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akhilesh Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Akhilesh Jha. A scholar is included among the top collaborators of Akhilesh Jha 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 Akhilesh Jha. Akhilesh Jha 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 1
2 1
3 6
4 2
5 44
6 12
7 2
8 117
9 31
10 3
11 3
12 4
13 4
14 3
15 16
16 5
17 2
18 14
19 0
20 13

About Akhilesh Jha

Akhilesh Jha is a scholar working on Civil and Structural Engineering, Earth-Surface Processes and Computational Mechanics, having authored 34 papers that have together received 506 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (9 papers), Structural Analysis and Optimization (7 papers) and Fluid Dynamics and Turbulent Flows (5 papers). The work is most often cited by research in Civil and Structural Engineering (235 citations), Aerospace Engineering (179 citations) and Computational Mechanics (113 citations). Akhilesh Jha has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Daniel J. Inman, Jayanth N. Kudva, Juichiro AKIYAMA, Raymond H. Plaut, Xiaowei Zeng, Jing Qian, Bo Ren, Shaofan Li, Eric Ruggiero and Gyuhae Park. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal of Pharmaceutics and AIAA Journal.

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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