Subodh Ranjan

731 total citations
29 papers, 590 citations indexed

About

Subodh Ranjan is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Environmental Engineering. According to data from OpenAlex, Subodh Ranjan has authored 29 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Civil and Structural Engineering, 8 papers in Mechanics of Materials and 6 papers in Environmental Engineering. Recurrent topics in Subodh Ranjan's work include Hydraulic flow and structures (8 papers), Flow Measurement and Analysis (7 papers) and Soil and Unsaturated Flow (7 papers). Subodh Ranjan is often cited by papers focused on Hydraulic flow and structures (8 papers), Flow Measurement and Analysis (7 papers) and Soil and Unsaturated Flow (7 papers). Subodh Ranjan collaborates with scholars based in India, United Kingdom and United States. Subodh Ranjan's co-authors include N. K. Tiwari, Parveen Sihag, Munish Kumar, Sanjeev Kumar, Rakesh Kumar Gupta, P.C. Kapur, D.W. Fuerstenau, C. S. P. Ojha, Rajaraman Kanagasabai and Shubham Kumar and has published in prestigious journals such as IEEE Transactions on Instrumentation and Measurement, International Journal of Mineral Processing and Journal of Environmental Engineering.

In The Last Decade

Subodh Ranjan

28 papers receiving 580 citations

Peers

Subodh Ranjan

CSE

WST

ECOLO

N. K. Tiwari India

Saeed Reza Khodashenas Iran

Siow Yong Lim Singapore

Seied Hosein Afzali Iran

Gholam‐Abbas Barani Iran

Miquel Duran–Ros Spain

Munish Kumar India

Claude Joannis France

Arun Goel India

Ali Akbar Akhtari Iran

N. K. Tiwari India

Subodh Ranjan

613 ×1.6

CSE

263 ×1.3

266 ×1.4

WST

198 ×1.4

241 ×3.1

ECOLO

Citations per year, relative to Subodh Ranjan Subodh Ranjan (= 1×) peers N. K. Tiwari

Countries citing papers authored by Subodh Ranjan

Since Specialization

Citations

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

Fields of papers citing papers by Subodh Ranjan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subodh Ranjan

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

Ranjan, Subodh & Lalan Kumar. (2025). Spatiotemporal Analysis of Verbal Working Memory With 31-Channel EEG: Comparative Insights From 63-Channel EEG. IEEE Transactions on Instrumentation and Measurement. 74. 1–12.

Ranjan, Subodh, et al.. (2025). GC-MS/MS and HR-LCMS-QTOF analysis of various extracts of Saraswata Ghrita: A comprehensive dataset on phytochemical compounds. Data in Brief. 61. 111675–111675. 2 indexed citations

Ranjan, Subodh, et al.. (2024). Alzheimer's disease: A case study involving EEG-based fE/I ratio and pTau-181 protein analysis through nasal administration of Saraswata Ghrita. Journal of Alzheimer s Disease Reports. 8(1). 1763–1774. 1 indexed citations

Kumar, Sanjeev, C. S. P. Ojha, N. K. Tiwari, & Subodh Ranjan. (2023). Exploring the potential of artificial intelligence techniques in prediction of the removal efficiency of vortex tube silt ejector. International Journal of Sediment Research. 38(4). 615–627. 5 indexed citations

Tiwari, N. K., et al.. (2023). Estimation and comparison of gabion weir oxygen mass transfer by ensemble learnings of bagging, boosting, and stacking algorithms. ISH Journal of Hydraulic Engineering. 29(sup1). 196–211. 6 indexed citations

Tiwari, N. K., et al.. (2022). Application of soft computing approaches to predict gabion weir oxygen aeration efficiency. ISH Journal of Hydraulic Engineering. 29(3). 244–258. 17 indexed citations

Kumar, Munish, N. K. Tiwari, & Subodh Ranjan. (2022). Application of Machine Learning Methods in Estimating the Oxygenation Performance of Various Configurations of Plunging Hollow Jet Aerators. Journal of Environmental Engineering. 148(11). 15 indexed citations

Ojha, C. S. P., et al.. (2022). Montana Flume Aeration Performance Evaluation with Machine Learning Models. Journal of The Institution of Engineers (India) Series A. 104(1). 175–186. 6 indexed citations

Kumar, Shubham, N. K. Tiwari, & Subodh Ranjan. (2022). Applicability of several machine learning models in estimation of vortex tube trapping efficiency. Water Science & Technology Water Supply. 22(11). 8173–8195. 7 indexed citations

10.

Kumar, Munish, Parveen Sihag, N. K. Tiwari, & Subodh Ranjan. (2020). Experimental study and modelling discharge coefficient of trapezoidal and rectangular piano key weirs. Applied Water Science. 10(1). 30 indexed citations

11.

Kumar, Munish, N. K. Tiwari, & Subodh Ranjan. (2020). Experimental Study on Oxygen Mass Transfer Characteristics by Plunging Hollow Jets. Arabian Journal for Science and Engineering. 46(5). 4521–4532. 14 indexed citations

12.

Tiwari, N. K., et al.. (2020). Estimation of the depth of penetrationin a plunging hollow jet using artificialintelligence techniques. Archives of Materials Science and Engineering. 2(103). 49–61. 8 indexed citations

13.

Kumar, Munish, N. K. Tiwari, & Subodh Ranjan. (2018). Prediction of oxygen mass transfer of plunging hollow jets using regression models. ISH Journal of Hydraulic Engineering. 1–8. 20 indexed citations

14.

Sihag, Parveen, N. K. Tiwari, & Subodh Ranjan. (2018). Support vector regression-based modeling of cumulative infiltration of sandy soil. ISH Journal of Hydraulic Engineering. 1–7. 54 indexed citations

15.

Sihag, Parveen, N. K. Tiwari, & Subodh Ranjan. (2018). Prediction of cumulative infiltration of sandy soil using random forest approach. Journal of Applied Water Engineering and Research. 7(2). 118–142. 21 indexed citations

16.

Sihag, Parveen, N. K. Tiwari, & Subodh Ranjan. (2017). Estimation and inter-comparison of infiltration models. Water Science. 31(1). 34–43. 85 indexed citations

17.

Sihag, Parveen, N. K. Tiwari, & Subodh Ranjan. (2017). Prediction of unsaturated hydraulic conductivity using adaptive neuro- fuzzy inference system (ANFIS). ISH Journal of Hydraulic Engineering. 25(2). 132–142. 87 indexed citations

18.

Sihag, Parveen, N. K. Tiwari, & Subodh Ranjan. (2017). Modelling of infiltration of sandy soil using gaussian process regression. Modeling Earth Systems and Environment. 3(3). 1091–1100. 83 indexed citations

19.

Ranjan, Subodh, et al.. (2014). COMPARATIVE CROP WATER ASSESSMENT USING CROPWAT Crop Water Assessment of Plain and Hilly Region Using CROPWAT Model. 4 indexed citations

20.

Kapur, P.C., Subodh Ranjan, & D.W. Fuerstenau. (1992). A cascade-cataract charge flow model for power draft of tumbling mills. International Journal of Mineral Processing. 36(1-2). 9–29. 16 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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