Jar Ullah

573 total citations
24 papers, 438 citations indexed

About

Jar Ullah is a scholar working on Mechanics of Materials, Mechanical Engineering and Geophysics. According to data from OpenAlex, Jar Ullah has authored 24 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanics of Materials, 17 papers in Mechanical Engineering and 11 papers in Geophysics. Recurrent topics in Jar Ullah's work include Hydrocarbon exploration and reservoir analysis (19 papers), Hydraulic Fracturing and Reservoir Analysis (17 papers) and Geochemistry and Geologic Mapping (9 papers). Jar Ullah is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (19 papers), Hydraulic Fracturing and Reservoir Analysis (17 papers) and Geochemistry and Geologic Mapping (9 papers). Jar Ullah collaborates with scholars based in China, Pakistan and Saudi Arabia. Jar Ullah's co-authors include Umar Ashraf, Muhammad Ali, Heping Pan, Aqsa Anees, Ren Jiang, Huolin Ma, Khizar Abbas, Muhsan Ehsan, Hassan Nasir Mangi and Xiaonan Zhang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Petroleum Science and Engineering and Journal of Asian Earth Sciences.

In The Last Decade

Jar Ullah

18 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jar Ullah China	11	257	231	210	154	88	24	438
Huolin Ma China	12	371 1.4×	284 1.2×	246 1.2×	182 1.2×	162 1.8×	24	575
Wakeel Hussain China	13	320 1.2×	295 1.3×	271 1.3×	119 0.8×	83 0.9×	47	516
Edyta Puskarczyk Poland	11	222 0.9×	144 0.6×	120 0.6×	69 0.4×	38 0.4×	43	338
Maman Hermana Malaysia	9	126 0.5×	110 0.5×	127 0.6×	138 0.9×	40 0.5×	61	294
Baozhi Pan China	11	217 0.8×	134 0.6×	164 0.8×	141 0.9×	44 0.5×	57	357
Mateus Basso Brazil	12	239 0.9×	182 0.8×	218 1.0×	84 0.5×	35 0.4×	25	422
Majid Nabi‐Bidhendi Iran	11	197 0.8×	179 0.8×	221 1.1×	196 1.3×	31 0.4×	30	400
Shaoqun Dong China	19	591 2.3×	524 2.3×	347 1.7×	280 1.8×	124 1.4×	53	858
Atif Ismail Pakistan	13	269 1.0×	302 1.3×	277 1.3×	157 1.0×	33 0.4×	31	462
Elizabeth Díaz United States	9	239 0.9×	161 0.7×	237 1.1×	115 0.7×	14 0.2×	23	412

Countries citing papers authored by Jar Ullah

Since Specialization

Citations

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

Fields of papers citing papers by Jar Ullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jar Ullah

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

Ehsan, Muhsan, et al.. (2025). Diagenetic and mineralogical impacts on clastic reservoir; A case study from the lower Indus Basin, Pakistan. Journal of Asian Earth Sciences. 283. 106539–106539. 1 indexed citations

Ehsan, Muhsan, et al.. (2025). Lithology Identification and Estimation of Total Organic Carbon in Organic Shale Through Machine Learning Approaches: Insight From Geochemical Analysis for Source Rock Evaluation. International Journal of Energy Research. 2025(1).

Li, Huan, et al.. (2025). Geodynamic record of Rodinia breakup to Gondwana formation: Insights from bulk geochemistry, whole-rock Sr-Nd isotopes, and zircon U-Pb-Hf data of Katherina Ring Complex, Sinai Peninsula, Egypt. Geoscience Frontiers. 16(4). 102082–102082.

Ehsan, Muhsan, Rujun Chen, Muhammad Ali, et al.. (2025). Evaluating the Ranikot formation in the middle Indus Basin, Pakistan as a promising secondary reservoir for development. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 11(1).

Ullah, Jar, et al.. (2025). Enhancing Reservoir Characterization: Genetic Algorithm-Assisted Correction of Pore Aspect Ratio Using CNN-LSTM in Petrophysical Modeling. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–11. 2 indexed citations

Ehsan, Muhsan, et al.. (2025). An integrated study to detect geothermal anomalies based on Landsat 8, Geological, and Geophysical data sets in Southeast Pakistan. Geothermics. 131. 103399–103399.

Ehsan, Muhsan, et al.. (2024). Pore pressure prediction based on conventional well logs and seismic data using an advanced machine learning approach. Journal of Rock Mechanics and Geotechnical Engineering. 17(5). 2727–2740. 3 indexed citations

Ullah, Jar, et al.. (2024). Harvesting Earth's heat: A deep learning Odyssey for reservoir characterization and sustainable geothermal energy management. Geoenergy Science and Engineering. 238. 212921–212921. 4 indexed citations

Ullah, Jar, Huan Li, Pantelis Soupios, & Muhsan Ehsan. (2024). Optimizing geothermal reservoir modeling: A unified bayesian PSO and BiGRU approach for precise history matching under uncertainty. Geothermics. 119. 102958–102958. 13 indexed citations

10.

Ullah, Jar, et al.. (2024). Optimizing support vector machines for enhanced permeability prediction in sandstone reservoirs using systematic and heuristic hyperparameter tuning. Earth Science Informatics. 18(1).

11.

Ehsan, Muhsan, Rujun Chen, Umar Manzoor, et al.. (2024). Unlocking thin sand potential: a data-driven approach to reservoir characterization and pore pressure mapping. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 10(1). 1 indexed citations

12.

Ehsan, Muhsan, et al.. (2024). Unconventional Reservoir Characterization of Patala Formation, Upper Indus Basin, Pakistan. ACS Omega. 9(13). 15573–15589. 9 indexed citations

13.

Ullah, Jar, Huan Li, Umar Ashraf, et al.. (2023). Knowledge-based machine learning for mineral classification in a complex tectonic regime of Yingxiu-Beichuan fault zone, Sichuan basin. Geoenergy Science and Engineering. 229. 212077–212077. 14 indexed citations

14.

Ali, Muhammad, Huolin Ma, Heping Pan, et al.. (2023). A Novel Machine Learning Approach for Detecting Outliers, Rebuilding Well Logs, and Enhancing Reservoir Characterization. Natural Resources Research. 32(3). 1047–1066. 38 indexed citations

15.

Sohail, Muhammad Tayyab, Zaira Manzoor, Muhsan Ehsan, et al.. (2023). Impacts of urbanization, LULC, LST, and NDVI changes on the static water table with possible solutions and water policy discussions: A case from Islamabad, Pakistan. Frontiers in Environmental Science. 11. 12 indexed citations

16.

Ullah, Jar, Huan Li, Umar Ashraf, Muhsan Ehsan, & Muhammad Asad. (2023). A multidisciplinary approach to facies evaluation at regional level using well log analysis, machine learning, and statistical methods. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 9(1). 15 indexed citations

17.

Ali, Muhammad, Umar Ashraf, Huolin Ma, et al.. (2023). Quantitative Characterization of Shallow Marine Sediments in Tight Gas Fields of Middle Indus Basin: A Rational Approach of Multiple Rock Physics Diagnostic Models. Processes. 11(2). 323–323. 15 indexed citations

18.

Ali, Jawad, Umar Ashraf, Aqsa Anees, et al.. (2022). Hydrocarbon Potential Assessment of Carbonate-Bearing Sediments in a Meyal Oil Field, Pakistan: Insights from Logging Data Using Machine Learning and Quanti Elan Modeling. ACS Omega. 7(43). 39375–39395. 26 indexed citations

19.

Anees, Aqsa, Hucai Zhang, Umar Ashraf, et al.. (2022). Sand-ratio distribution in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos Basin: Acoustic impedance inversion-based reservoir quality prediction. Frontiers in Earth Science. 10. 31 indexed citations

20.

Ullah, Jar, Miao Luo, Umar Ashraf, et al.. (2021). Evaluation of the geothermal parameters to decipher the thermal structure of the upper crust of the Longmenshan fault zone derived from borehole data. Geothermics. 98. 102268–102268. 42 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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