Suraj Kumar Parhi

925 total citations · 1 hit paper
21 papers, 701 citations indexed

About

Suraj Kumar Parhi is a scholar working on Civil and Structural Engineering, Building and Construction and Materials Chemistry. According to data from OpenAlex, Suraj Kumar Parhi has authored 21 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Civil and Structural Engineering, 5 papers in Building and Construction and 4 papers in Materials Chemistry. Recurrent topics in Suraj Kumar Parhi's work include Innovative concrete reinforcement materials (17 papers), Concrete and Cement Materials Research (15 papers) and Concrete Corrosion and Durability (5 papers). Suraj Kumar Parhi is often cited by papers focused on Innovative concrete reinforcement materials (17 papers), Concrete and Cement Materials Research (15 papers) and Concrete Corrosion and Durability (5 papers). Suraj Kumar Parhi collaborates with scholars based in India. Suraj Kumar Parhi's co-authors include Sanjaya Kumar Patro, Saubhagya Kumar Panigrahi, Soumyaranjan Panda, Saswat Dwibedy, Ramakanta Panigrahi and Bharadwaj Nanda and has published in prestigious journals such as Langmuir, Construction and Building Materials and Environmental Research.

In The Last Decade

Suraj Kumar Parhi

20 papers receiving 661 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prediction of compressive strength of geopolymer concrete using a hybrid ensemble of grey wolf optimized machine learning estimators

2023 113 citations Suraj Kumar Parhi, Sanjaya Kumar Patro Journal of Building Engineering profile →

Peers

Suraj Kumar Parhi

CSE

Muhammad Ashraf Pakistan

Tian-Feng Yuan South Korea

Ahmet Emin Kurtoğlu Türkiye

Sifeng Liu China

Olga Smirnova Russia

M.M.A. Wahab Malaysia

Hongseob Oh South Korea

Mehmet Emiroğlu Türkiye

Pankaj Agarwal India

Махмуд Харун Russia

Muhammad Ashraf Pakistan

Suraj Kumar Parhi

488 ×0.8

CSE

286 ×1.0

95 ×0.9

66 ×1.7

19 ×0.6

Citations per year, relative to Suraj Kumar Parhi Suraj Kumar Parhi (= 1×) peers Muhammad Ashraf

Countries citing papers authored by Suraj Kumar Parhi

Since Specialization

Citations

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

Fields of papers citing papers by Suraj Kumar Parhi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suraj Kumar Parhi

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

All Works

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20 of 20 papers shown

Parhi, Suraj Kumar, et al.. (2026). Design of structural elements for residential buildings utilizing non-linear multi-objective optimization and interpretable data-driven learning. Structural and Multidisciplinary Optimization. 69(1).

Parhi, Suraj Kumar, Saswat Dwibedy, & Sanjaya Kumar Patro. (2025). Managing waste for production of low-carbon concrete mix using uncertainty-aware machine learning model. Environmental Research. 279(Pt 2). 121918–121918. 11 indexed citations

Parhi, Suraj Kumar & Sanjaya Kumar Patro. (2025). Interfacial Insights and Remediation Strategies through Molecular Dynamics Probing of Nanoparticle Interactions in Cementitious Matrices: A Review. Langmuir. 41(26). 16687–16713. 7 indexed citations

Parhi, Suraj Kumar & Sanjaya Kumar Patro. (2025). Data-driven prediction and intelligent optimization of strength, porosity and cost of concrete with supplementary cementitious materials. Journal of Structural Integrity and Maintenance. 10(4). 3 indexed citations

Parhi, Suraj Kumar & Sanjaya Kumar Patro. (2024). Parametric analysis and prediction of geopolymerization process. Materials Today Communications. 41. 111047–111047. 19 indexed citations

Dwibedy, Saswat, Suraj Kumar Parhi, Soumyaranjan Panda, & Saubhagya Kumar Panigrahi. (2024). Performance of precursor characteristics in the realisation of geopolymer concrete: a review. Magazine of Concrete Research. 76(24). 1404–1423. 14 indexed citations

Parhi, Suraj Kumar, Saswat Dwibedy, & Saubhagya Kumar Panigrahi. (2024). AI-driven critical parameter optimization of sustainable self-compacting geopolymer concrete. Journal of Building Engineering. 86. 108923–108923. 39 indexed citations

Parhi, Suraj Kumar, et al.. (2024). Multi-objective optimization and prediction of strength along with durability in acid-resistant self-compacting alkali-activated concrete. Construction and Building Materials. 456. 139235–139235. 15 indexed citations

Parhi, Suraj Kumar, Soumyaranjan Panda, Saswat Dwibedy, & Saubhagya Kumar Panigrahi. (2024). Metaheuristic optimization of machine learning models for strength prediction of high-performance self-compacting alkali-activated slag concrete. Multiscale and Multidisciplinary Modeling Experiments and Design. 7(3). 2901–2928. 23 indexed citations

10.

Parhi, Suraj Kumar & Sanjaya Kumar Patro. (2023). Prediction of compressive strength of geopolymer concrete using a hybrid ensemble of grey wolf optimized machine learning estimators. Journal of Building Engineering. 71. 106521–106521. 113 indexed citations breakdown →

11.

Parhi, Suraj Kumar, et al.. (2023). Efficient machine learning algorithm with enhanced cat swarm optimization for prediction of compressive strength of GGBS-based geopolymer concrete at elevated temperature. Construction and Building Materials. 400. 132814–132814. 51 indexed citations

12.

Patro, Sanjaya Kumar, et al.. (2023). Evolutionary optimization of machine learning algorithm hyperparameters for strength prediction of high-performance concrete. Asian Journal of Civil Engineering. 24(8). 3121–3143. 48 indexed citations

13.

Parhi, Suraj Kumar, et al.. (2023). Influence of chemical constituents of binder and activator in predicting compressive strength of fly ash-based geopolymer concrete using firefly-optimized hybrid ensemble machine learning model. Materials Today Communications. 37. 107485–107485. 44 indexed citations

14.

Parhi, Suraj Kumar & Sanjaya Kumar Patro. (2023). Compressive strength prediction of PET fiber-reinforced concrete using Dolphin echolocation optimized decision tree-based machine learning algorithms. Asian Journal of Civil Engineering. 25(1). 977–996. 31 indexed citations

15.

Panda, Soumyaranjan, et al.. (2023). GGBFS-Based Self-Compacting Geopolymer Concrete with Optimized Mix Parameters Established on Fresh, Mechanical, and Durability Characteristics. Journal of Materials in Civil Engineering. 36(2). 28 indexed citations

16.

Parhi, Suraj Kumar & Saubhagya Kumar Panigrahi. (2023). Alkali–silica reaction expansion prediction in concrete using hybrid metaheuristic optimized machine learning algorithms. Asian Journal of Civil Engineering. 25(1). 1091–1113. 35 indexed citations

17.

Parhi, Suraj Kumar & Sanjaya Kumar Patro. (2023). Application of R-curve, ANCOVA, and RSM techniques on fracture toughness enhancement in PET fiber-reinforced concrete. Construction and Building Materials. 411. 134644–134644. 24 indexed citations

18.

Parhi, Suraj Kumar, Saswat Dwibedy, Soumyaranjan Panda, & Saubhagya Kumar Panigrahi. (2023). A comprehensive study on Controlled Low Strength Material. Journal of Building Engineering. 76. 107086–107086. 48 indexed citations

19.

Panda, Soumyaranjan, et al.. (2022). Factors affecting production and properties of self-compacting geopolymer concrete – A review. Construction and Building Materials. 344. 128174–128174. 71 indexed citations

20.

Panda, Soumyaranjan, et al.. (2022). Effect of critical parameters on the fresh properties of Self Compacting geopolymer concrete. Materials Today Proceedings. 62. 6325–6335. 35 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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