Daniel Asante Otchere

1.0k total citations · 2 hit papers
25 papers, 716 citations indexed

About

Daniel Asante Otchere is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Daniel Asante Otchere has authored 25 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ocean Engineering, 12 papers in Mechanical Engineering and 6 papers in Mechanics of Materials. Recurrent topics in Daniel Asante Otchere's work include Hydraulic Fracturing and Reservoir Analysis (10 papers), Reservoir Engineering and Simulation Methods (9 papers) and Hydrocarbon exploration and reservoir analysis (6 papers). Daniel Asante Otchere is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (10 papers), Reservoir Engineering and Simulation Methods (9 papers) and Hydrocarbon exploration and reservoir analysis (6 papers). Daniel Asante Otchere collaborates with scholars based in Malaysia, United States and Norway. Daniel Asante Otchere's co-authors include Tarek Ganat, Raoof Gholami, Syahrir Ridha, Bennet Nii Tackie-Otoo, Mohammed Abdalla Ayoub, Shams Kalam, Najeebullah Lashari, Shiferaw Regassa Jufar, Bhajan Lal and Tushar Sharma and has published in prestigious journals such as Energy & Fuels, Applied Soft Computing and Applied Sciences.

In The Last Decade

Daniel Asante Otchere

24 papers receiving 700 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.

Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models

2020 338 citations Daniel Asante Otchere, Tarek Ganat et al. Journal of Petroleum Science and Engineering profile →
Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions

2021 153 citations Daniel Asante Otchere, Tarek Ganat et al. Journal of Petroleum Science and Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Asante Otchere Malaysia	11	246	225	177	101	75	25	716
Shaowei Pan China	14	232 0.9×	239 1.1×	139 0.8×	59 0.6×	87 1.2×	65	930
Yuetian Liu China	14	330 1.3×	232 1.0×	192 1.1×	64 0.6×	88 1.2×	32	672
Mahmoud Reza Pishvaie Iran	18	530 2.2×	344 1.5×	263 1.5×	63 0.6×	63 0.8×	64	962
Mohammad Ebadi Russia	14	624 2.5×	492 2.2×	348 2.0×	91 0.9×	120 1.6×	29	1.1k
Gang Zhao Canada	15	383 1.6×	388 1.7×	143 0.8×	60 0.6×	107 1.4×	73	802
Sili Chen China	16	185 0.8×	121 0.5×	294 1.7×	126 1.2×	64 0.9×	77	1.2k
Hongbing Zhang China	20	239 1.0×	241 1.1×	209 1.2×	138 1.4×	29 0.4×	125	1.1k
Zhenhong Chen China	18	204 0.8×	105 0.5×	319 1.8×	92 0.9×	16 0.2×	81	905
Wang	15	224 0.9×	264 1.2×	159 0.9×	42 0.4×	60 0.8×	267	1.1k

Countries citing papers authored by Daniel Asante Otchere

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Asante Otchere

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Asante Otchere. 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 Daniel Asante Otchere. The network helps show where Daniel Asante Otchere may publish in the future.

Co-authorship network of co-authors of Daniel Asante Otchere

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Asante Otchere. A scholar is included among the top collaborators of Daniel Asante Otchere 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 Daniel Asante Otchere. Daniel Asante Otchere 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

Tackie-Otoo, Bennet Nii, et al.. (2025). Research Advances on Distributed Acoustic Sensing Technology for Seismology. Photonics. 12(3). 196–196. 4 indexed citations

Yusof, Muhammad Aslam Md, et al.. (2025). Comparative Analysis of Parametric and Non-Parametric Machine Learning Models for CO2 Solubility Estimation. International Petroleum Technology Conference.

Otchere, Daniel Asante, et al.. (2024). Distributed acoustic sensing in subsurface applications – Review and potential integration with artificial intelligence for an intelligent CO2 storage monitoring system. Geoenergy Science and Engineering. 237. 212818–212818. 10 indexed citations

Otchere, Daniel Asante, et al.. (2024). Mechanisms of sand production, prediction–a review and the potential for fiber optic technology and machine learning in monitoring. Journal of Petroleum Exploration and Production Technology. 14(10). 2577–2616. 6 indexed citations

Tackie-Otoo, Bennet Nii, et al.. (2024). Evaluation of the Oil Recovery Potential and Cost Implication Analysis of Alternative ASP Formulations for Sandstone and Carbonate Reservoirs. ACS Omega. 9(19). 20859–20875. 3 indexed citations

Rafi, Muhammad Masood, et al.. (2024). Application of Distributed Acoustic Sensing in Geophysics Exploration: Comparative Review of Single-Mode and Multi-Mode Fiber Optic Cables. Applied Sciences. 14(13). 5560–5560. 1 indexed citations

Hassan, Meor Hakif Amir, et al.. (2023). Sedimentary facies and stratigraphy of the Campanian-Maastrichtian Taloka Formation, southeastern Iullemmeden Basin, Nigeria. Journal of African Earth Sciences. 200. 104842–104842. 2 indexed citations

Tackie-Otoo, Bennet Nii, Mohammed Abdalla Ayoub, Daniel Asante Otchere, & Shiferaw Regassa Jufar. (2023). A study of the oil recovery potential and mechanisms of an alternative Alkaline-Surfactant-Polymer formulation for carbonate reservoir. Geoenergy Science and Engineering. 227. 211881–211881. 8 indexed citations

Tackie-Otoo, Bennet Nii, Mohammed Abdalla Ayoub, Daniel Asante Otchere, & Shiferaw Regassa Jufar. (2023). A Study of the Oil Recovery Potential and Mechanisms of an Alternative Alkaline-Surfactant-Polymer Formulation for Carbonate Reservoir. SSRN Electronic Journal. 1 indexed citations

10.

Tackie-Otoo, Bennet Nii, et al.. (2023). Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties. Computational Toxicology. 26. 100266–100266. 12 indexed citations

11.

Otchere, Daniel Asante, et al.. (2023). Machine-Learning-Based Proxy Modelling for Geothermal Field Development Optimisation. Offshore Technology Conference. 1 indexed citations

12.

Otchere, Daniel Asante. (2023). Fundamental error in tree-based machine learning model selection for reservoir characterisation. Energy Geoscience. 5(2). 100229–100229. 21 indexed citations

13.

Otchere, Daniel Asante, Mohammed Abdalla Ayoub, Tarek Ganat, Raoof Gholami, & Zulkifli Merican Aljunid Merican. (2022). A Novel Empirical and Deep Ensemble Super Learning Approach in Predicting Reservoir Wettability via Well Logs. Applied Sciences. 12(6). 2942–2942. 11 indexed citations

14.

Otchere, Daniel Asante, et al.. (2022). Improving seismic fault mapping through data conditioning using a pre-trained deep convolutional neural network: A case study on Groningen field. Journal of Petroleum Science and Engineering. 213. 110411–110411. 15 indexed citations

15.

Otchere, Daniel Asante, et al.. (2022). Contact angle measurements: a critical review of laboratory parametric effect and prospect. International Journal of Oil Gas and Coal Technology. 31(1). 51–51. 1 indexed citations

16.

Otchere, Daniel Asante, et al.. (2021). Static Reservoir Modeling Comparing Inverse Distance Weighting to Kriging Interpolation Algorithm in Volumetric Estimation. Case Study: Gullfaks Field. Offshore Technology Conference. 2 indexed citations

17.

Tackie-Otoo, Bennet Nii, et al.. (2021). Investigation into the Oil Recovery Process Using an Organic Alkali–Amino Acid-Based Surfactant System. Energy & Fuels. 35(14). 11171–11192. 15 indexed citations

18.

Lashari, Najeebullah, et al.. (2021). Navigating viscosity of GO-SiO2/HPAM composite using response surface methodology and supervised machine learning models. Journal of Petroleum Science and Engineering. 205. 108800–108800. 36 indexed citations

19.

Otchere, Daniel Asante, et al.. (2021). A novel custom ensemble learning model for an improved reservoir permeability and water saturation prediction. Journal of Natural Gas Science and Engineering. 91. 103962–103962. 54 indexed citations

20.

Otchere, Daniel Asante, Tarek Ganat, Raoof Gholami, & Syahrir Ridha. (2020). Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models. Journal of Petroleum Science and Engineering. 200. 108182–108182. 338 indexed citations breakdown →

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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