Mayank Mishra

1.8k total citations · 3 hit papers
44 papers, 1.3k citations indexed

About

Mayank Mishra is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Mayank Mishra has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Civil and Structural Engineering, 9 papers in Mechanics of Materials and 8 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Mayank Mishra's work include Infrastructure Maintenance and Monitoring (18 papers), Structural Health Monitoring Techniques (14 papers) and Geotechnical Engineering and Analysis (8 papers). Mayank Mishra is often cited by papers focused on Infrastructure Maintenance and Monitoring (18 papers), Structural Health Monitoring Techniques (14 papers) and Geotechnical Engineering and Analysis (8 papers). Mayank Mishra collaborates with scholars based in India, Portugal and Italy. Mayank Mishra's co-authors include Paulo B. Lourénço, G. V. Ramana, Damodar Maity, Dipak Kumar Maiti, Giuseppe Santarsiero, Angelo Masi, Roberto Vassallo, Tiago Miranda, Caroline C. Ummenhofer and Ming Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and Engineering Structures.

In The Last Decade

Mayank Mishra

40 papers receiving 1.2k citations

Hit Papers

Structural health monitoring of civil engineering structu... 2020 2026 2022 2024 2022 2020 2024 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mayank Mishra India 21 837 187 152 151 135 44 1.3k
Giovanni Fabbrocino Italy 34 3.1k 3.7× 132 0.7× 293 1.9× 317 2.1× 905 6.7× 162 3.6k
Rosario Ceravolo Italy 25 1.4k 1.6× 83 0.4× 203 1.3× 223 1.5× 115 0.9× 155 1.6k
Guido Morgenthal Germany 21 859 1.0× 318 1.7× 310 2.0× 64 0.4× 274 2.0× 87 1.4k
Michele Betti Italy 30 2.3k 2.7× 427 2.3× 165 1.1× 168 1.1× 424 3.1× 119 2.7k
Tara C. Hutchinson United States 30 3.2k 3.9× 375 2.0× 209 1.4× 96 0.6× 590 4.4× 190 3.7k
Campbell Middleton United Kingdom 23 1.1k 1.3× 253 1.4× 149 1.0× 92 0.6× 344 2.5× 74 1.6k
Tae Keun Oh South Korea 18 829 1.0× 80 0.4× 177 1.2× 483 3.2× 172 1.3× 67 1.3k
Luís F. Ramos Portugal 29 2.3k 2.7× 555 3.0× 142 0.9× 208 1.4× 582 4.3× 115 2.9k
Devin K. Harris United States 22 1.5k 1.8× 160 0.9× 238 1.6× 181 1.2× 479 3.5× 87 1.7k
Carlo Rainieri Italy 21 1.4k 1.7× 50 0.3× 194 1.3× 250 1.7× 77 0.6× 79 1.5k

Countries citing papers authored by Mayank Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayank Mishra

This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Mishra. A scholar is included among the top collaborators of Mayank 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 Mayank Mishra. Mayank Mishra 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
1.
Saravanan, T. Jothi, et al.. (2024). Internet of things (IoT)-based structural health monitoring of laboratory-scale civil engineering structures. Innovative Infrastructure Solutions. 9(4). 7 indexed citations
2.
Mishra, Mayank, et al.. (2024). Deep learning-based automated tile defect detection system for Portuguese cultural heritage buildings. Journal of Cultural Heritage. 68. 86–98. 28 indexed citations
3.
Mishra, Mayank, et al.. (2024). Automated Surface Crack Detection in Historical Constructions with Various Materials Using Deep Learning-Based YOLO Network. International Journal of Architectural Heritage. 19(5). 581–597. 16 indexed citations
4.
Mishra, Mayank, et al.. (2024). DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets. 23396–23406. 3 indexed citations
5.
Mishra, Mayank, et al.. (2022). Seismic vulnerability assessment of old churches in the twin cities of Bhubaneswar and Cuttack using the macroelemental approach. Frontiers in Built Environment. 8. 1 indexed citations
6.
Punera, Devesh, et al.. (2021). Coupled flexural torsional analysis and buckling optimization of variable stiffness thin-walled composite beams. Mechanics of Advanced Materials and Structures. 29(19). 2795–2815. 16 indexed citations
7.
Santarsiero, Giuseppe, et al.. (2021). Structural health monitoring of exterior beam–column subassemblies through detailed numerical modelling and using various machine learning techniques. SHILAP Revista de lepidopterología. 6. 100190–100190. 12 indexed citations
8.
Mishra, Mayank, et al.. (2021). Convective Hot-air Drying of Green Mango: Influence of Hot Water Blanching and Chemical Pretreatments on Drying Kinetics and Physicochemical Properties of Dried Product. International Journal of Fruit Science. 21(1). 732–757. 22 indexed citations
9.
Mishra, Mayank, et al.. (2021). Teaching–learning-based optimization algorithm for solving structural damage detection problem in frames via changes in vibration responses. CINECA IRIS Institutional Research Information System (University of Basilicata). 3(4). 395–414. 4 indexed citations
10.
Mishra, Mayank, et al.. (2020). Predicting the compressive strength of unreinforced brick masonry using machine learning techniques validated on a case study of a museum through nondestructive testing. Journal of Civil Structural Health Monitoring. 10(3). 389–403. 50 indexed citations
11.
Mishra, Mayank, et al.. (2020). Ant colony optimization for slope stability analysis applied to an embankment failure in eastern India. International Journal of Geo-Engineering. 11(1). 7 indexed citations
13.
Mishra, Mayank, G. V. Ramana, & Damodar Maity. (2019). Multiverse Optimisation Algorithm for Capturing the Critical Slip Surface in Slope Stability Analysis. Geotechnical and Geological Engineering. 38(1). 459–474. 27 indexed citations
14.
Mishra, Mayank, et al.. (2019). Performance Studies of 10 Metaheuristic Techniques in Determination of Damages for Large-Scale Spatial Trusses from Changes in Vibration Responses. Journal of Computing in Civil Engineering. 34(2). 34 indexed citations
15.
Mishra, Mayank, et al.. (2018). Ant lion optimisation algorithm for structural damage detection using vibration data. Journal of Civil Structural Health Monitoring. 9(1). 117–136. 64 indexed citations
16.
Mishra, Mayank, Roberto Vassallo, Giuseppe Santarsiero, & Angelo Masi. (2017). LANDSLIDE-PILE-TUNNEL INTERACTION BY 2D AND 3D FINITE ELEMENT MODELLING. 4664–4674. 5 indexed citations
17.
Cheung, Wing & Mayank Mishra. (2010). Crowded Trades: A Bayesian Remedy for Factor-Based Quants. SSRN Electronic Journal. 3 indexed citations
18.
Bardet, J. P., et al.. (2009). Mechanical and Hydraulic Properties of Wax-coated Sands for Sport Surfaces. AIP conference proceedings. 792–795. 6 indexed citations
20.
Mishra, Mayank & J.C. Misra. (1983). An anisotropic strip weakened by an array of cracks. International Journal of Engineering Science. 21(3). 187–198. 9 indexed citations

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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