Mayank Sukhija

43 total papers · 749 total citations
37 papers, 547 citations indexed

About

Mayank Sukhija is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Polymers and Plastics. According to data from OpenAlex, Mayank Sukhija has authored 37 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Civil and Structural Engineering, 8 papers in Mechanical Engineering and 6 papers in Polymers and Plastics. Recurrent topics in Mayank Sukhija's work include Asphalt Pavement Performance Evaluation (35 papers), Infrastructure Maintenance and Monitoring (31 papers) and Innovative concrete reinforcement materials (9 papers). Mayank Sukhija is often cited by papers focused on Asphalt Pavement Performance Evaluation (35 papers), Infrastructure Maintenance and Monitoring (31 papers) and Innovative concrete reinforcement materials (9 papers). Mayank Sukhija collaborates with scholars based in India, United States and Iraq. Mayank Sukhija's co-authors include Nikhil Saboo, Agnivesh Pani, Ankit Gupta, Gaurav Singh, Anush K. Chandrappa, Chandana Rath, Amjad H. Albayati, Arun Prasad, Erdem Coleri and Jayvant Choudhary and has published in prestigious journals such as Scientific Reports, Construction and Building Materials and Materials and Structures.

In The Last Decade

Mayank Sukhija

33 papers receiving 539 citations

Author Peers

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

Author						Papers	Cites
Mayank Sukhija	505	127	93	62	55	37	547
Yufeng Bi	448 0.9×	128 1.0×	66 0.7×	89 1.4×	35 0.6×	42	531
Iswandaru Widyatmoko	430 0.9×	53 0.4×	90 1.0×	41 0.7×	60 1.1×	37	489
M. R. Nivitha	435 0.9×	89 0.7×	81 0.9×	60 1.0×	22 0.4×	28	489
Mithil Mazumder	500 1.0×	118 0.9×	105 1.1×	28 0.5×	31 0.6×	37	553
Anush K. Chandrappa	346 0.7×	154 1.2×	75 0.8×	60 1.0×	63 1.1×	25	474
Ashley Buss	473 0.9×	116 0.9×	106 1.1×	38 0.6×	46 0.8×	51	566
Abhinay Kumar	465 0.9×	168 1.3×	82 0.9×	47 0.8×	35 0.6×	36	542
Hongliu Rong	394 0.8×	122 1.0×	37 0.4×	81 1.3×	62 1.1×	44	493
Gengren Hao	455 0.9×	111 0.9×	85 0.9×	26 0.4×	50 0.9×	28	511
Fredy Alberto Reyes Lizcano	445 0.9×	65 0.5×	80 0.9×	49 0.8×	47 0.9×	73	508

Countries citing papers authored by Mayank Sukhija

Since Specialization

Citations

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

Fields of papers citing papers by Mayank Sukhija

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayank Sukhija

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