Kumar Anupam

1.2k total citations · 1 hit paper
45 papers, 960 citations indexed

About

Kumar Anupam is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Kumar Anupam has authored 45 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Civil and Structural Engineering, 15 papers in Mechanics of Materials and 15 papers in Mechanical Engineering. Recurrent topics in Kumar Anupam's work include Asphalt Pavement Performance Evaluation (33 papers), Infrastructure Maintenance and Monitoring (18 papers) and Railway Engineering and Dynamics (7 papers). Kumar Anupam is often cited by papers focused on Asphalt Pavement Performance Evaluation (33 papers), Infrastructure Maintenance and Monitoring (18 papers) and Railway Engineering and Dynamics (7 papers). Kumar Anupam collaborates with scholars based in Netherlands, United Arab Emirates and Singapore. Kumar Anupam's co-authors include A. Scarpas, Cor Kasbergen, Reginald B. Kogbara, Emad Kassem, Eyad Masad, Sandra Erkens, T. F. Fwa, Ghim Ping Ong, Malal Kane and Hong Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and International Journal of Solids and Structures.

In The Last Decade

Kumar Anupam

42 papers receiving 931 citations

Hit Papers

A state-of-the-art review of parameters influencing measu... 2016 2026 2019 2022 2016 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
Kumar Anupam Netherlands 17 773 283 209 172 77 45 960
Malal Kane France 23 987 1.3× 553 2.0× 437 2.1× 154 0.9× 176 2.3× 68 1.3k
L. Chu Singapore 19 937 1.2× 180 0.6× 74 0.4× 69 0.4× 56 0.7× 63 1.1k
Zhen Sun China 19 506 0.7× 326 1.2× 145 0.7× 40 0.2× 74 1.0× 73 1.2k
Minh-Tan Do France 11 312 0.4× 194 0.7× 146 0.7× 61 0.4× 51 0.7× 35 456
A. Loredo France 13 204 0.3× 228 0.8× 160 0.8× 82 0.5× 76 1.0× 24 567
Francesco Di Caprio Italy 19 334 0.4× 481 1.7× 443 2.1× 99 0.6× 73 0.9× 63 872
Zhiyi Huang China 20 656 0.8× 113 0.4× 229 1.1× 72 0.4× 28 0.4× 68 1.2k
Denis Jelagin Sweden 20 917 1.2× 170 0.6× 254 1.2× 24 0.1× 79 1.0× 73 1.1k
J. Pernas-Sánchez Spain 18 394 0.5× 240 0.8× 534 2.6× 65 0.4× 132 1.7× 37 945
J J Henry United States 13 537 0.7× 223 0.8× 82 0.4× 77 0.4× 61 0.8× 60 669

Countries citing papers authored by Kumar Anupam

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Anupam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumar Anupam

This figure shows the co-authorship network connecting the top 25 collaborators of Kumar Anupam. A scholar is included among the top collaborators of Kumar Anupam 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 Kumar Anupam. Kumar Anupam 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.
Anupam, Kumar, et al.. (2024). Frequency range optimization for linear viscoelastic characterization of Burger's model. International Journal of Mechanical Sciences. 285. 109817–109817. 1 indexed citations
2.
Anupam, Kumar, et al.. (2023). A state-of-the-art review on rolling resistance of asphalt pavements and its environmental impact. Construction and Building Materials. 411. 133589–133589. 12 indexed citations
4.
Kasbergen, Cor, et al.. (2022). A parameter identification technique for traffic speed deflectometer tests of pavements. Road Materials and Pavement Design. 24(4). 1065–1087. 9 indexed citations
5.
Zhang, Hong, Kumar Anupam, A. Scarpas, Cor Kasbergen, & Sandra Erkens. (2021). Contact mechanics based solution to predict modulus of asphalt materials with high porosities. Materials & Design. 206. 109752–109752. 8 indexed citations
6.
Anupam, Kumar, et al.. (2021). Micromechanical simulation of porous asphalt mixture compaction using discrete element method (DEM). Construction and Building Materials. 301. 124305–124305. 44 indexed citations
7.
Anupam, Kumar, et al.. (2020). Continuum-based micromechanical models for asphalt materials: Current practices & beyond. Construction and Building Materials. 260. 119675–119675. 23 indexed citations
8.
Anupam, Kumar, et al.. (2019). A finite element study of rain intensity on skid resistance for permeable asphalt concrete mixes. Construction and Building Materials. 220. 464–475. 42 indexed citations
9.
Kasbergen, Cor, et al.. (2019). Dynamic analysis of layered systems under a moving harmonic rectangular load based on the spectral element method. International Journal of Solids and Structures. 180-181. 45–61. 21 indexed citations
10.
Zhang, Hong, Kumar Anupam, A. Scarpas, & Cor Kasbergen. (2018). Comparison of Different Micromechanical Models for Predicting the Effective Properties of Open Graded Mixes. Transportation Research Record Journal of the Transportation Research Board. 2672(28). 404–415. 26 indexed citations
11.
Anupam, Kumar, et al.. (2018). Finite Element Studies of Skid Resistance under Hot Weather Condition. Transportation Research Record Journal of the Transportation Research Board. 2672(40). 382–394.
12.
Erkens, Sandra, et al.. (2017). Smart sensors in asphalt: monitoring key process parameters during and post construction. SHILAP Revista de lepidopterología. 5 indexed citations
13.
Anupam, Kumar, et al.. (2016). Analysis of Asphalt Mix Surface-Tread Rubber Interaction by Using Finite Element Method. 1192–1205. 3 indexed citations
14.
Anupam, Kumar, et al.. (2014). Safety Aspects of Wet Asphalt Pavement Surfaces through Field and Numerical Modeling Investigations. Transportation Research Record Journal of the Transportation Research Board. 2446(1). 37–51. 46 indexed citations
15.
Anupam, Kumar, et al.. (2014). Study of Cornering Maneuvers of a Pneumatic Tire on Asphalt Pavement Surfaces Using the Finite Element Method. Transportation Research Record Journal of the Transportation Research Board. 2457(1). 129–139. 23 indexed citations
16.
Anupam, Kumar, et al.. (2013). Influence of Temperature on Tire-Pavement Friction-1: Laboratory Tests and Finite Element Modeling. 1–21. 5 indexed citations
17.
Anupam, Kumar, et al.. (2010). ANALYZING EFFECT OF TIRE GROOVE PATTERNS ON HYDROPLANING SPEED. Journal of the Eastern Asia Society for transportation studies. 8. 2018–2031. 16 indexed citations
18.
Fwa, T. F., Kumar Anupam, & Ghim Ping Ong. (2010). Relative Effectiveness of Grooves in Tire and Pavement for Reducing Vehicle Hydroplaning Risk. Transportation Research Record Journal of the Transportation Research Board. 2155(1). 73–81. 20 indexed citations
19.
Anupam, Kumar, T. F. Fwa, & Ghim Ping Ong. (2009). Pavement Grooving and Vehicle Hydroplaning. Transportation Research Board 88th Annual MeetingTransportation Research Board. 1 indexed citations
20.
Fwa, T. F., et al.. (2009). Effectiveness of Tire-Tread Patterns in Reducing the Risk of Hydroplaning. Transportation Research Record Journal of the Transportation Research Board. 2094(1). 91–102. 46 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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