Vikram Jayaram

569 total citations
31 papers, 439 citations indexed

About

Vikram Jayaram is a scholar working on Ocean Engineering, Mechanical Engineering and Geophysics. According to data from OpenAlex, Vikram Jayaram has authored 31 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ocean Engineering, 17 papers in Mechanical Engineering and 14 papers in Geophysics. Recurrent topics in Vikram Jayaram's work include Hydraulic Fracturing and Reservoir Analysis (16 papers), Seismic Imaging and Inversion Techniques (14 papers) and Reservoir Engineering and Simulation Methods (13 papers). Vikram Jayaram is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (16 papers), Seismic Imaging and Inversion Techniques (14 papers) and Reservoir Engineering and Simulation Methods (13 papers). Vikram Jayaram collaborates with scholars based in United States, China and Norway. Vikram Jayaram's co-authors include Kurt J. Marfurt, Tao Zhao, Atish Roy, Deepak Devegowda, Carl Sondergeld, Chandra Rai, Hamidreza Karami, Matthew J. Pranter, Heather Bedle and Ishank Gupta and has published in prestigious journals such as SPE Journal, Geophysical Prospecting and Journal of Petroleum Technology.

In The Last Decade

Vikram Jayaram

25 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikram Jayaram United States 11 247 241 209 110 85 31 439
Jar Ullah China 11 210 0.9× 154 0.6× 231 1.1× 257 2.3× 88 1.0× 24 438
Huolin Ma China 12 246 1.0× 182 0.8× 284 1.4× 371 3.4× 162 1.9× 24 575
Wakeel Hussain China 13 271 1.1× 119 0.5× 295 1.4× 320 2.9× 83 1.0× 47 516
Abdolrahim Javaherian Iran 14 308 1.2× 452 1.9× 264 1.3× 215 2.0× 63 0.7× 82 657
Odd Kolbjørnsen Norway 13 334 1.4× 398 1.7× 209 1.0× 95 0.9× 60 0.7× 46 551
Alessandro Santilano Italy 12 167 0.7× 323 1.3× 55 0.3× 96 0.9× 92 1.1× 26 527
Mohammad Emami Niri Iran 12 207 0.8× 109 0.5× 166 0.8× 90 0.8× 31 0.4× 51 354
Ahmed Amara Konaté China 11 129 0.5× 97 0.4× 166 0.8× 189 1.7× 121 1.4× 31 364
Ghulam Mohyuddin Sohail Pakistan 14 232 0.9× 170 0.7× 285 1.4× 306 2.8× 59 0.7× 24 456
E. Della Rossa Italy 11 541 2.2× 316 1.3× 421 2.0× 106 1.0× 40 0.5× 33 686

Countries citing papers authored by Vikram Jayaram

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Jayaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikram Jayaram

This figure shows the co-authorship network connecting the top 25 collaborators of Vikram Jayaram. A scholar is included among the top collaborators of Vikram Jayaram 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 Vikram Jayaram. Vikram Jayaram 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
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Jayaram, Vikram, et al.. (2023). Using geometric mode decomposition for the background noise suppression on microseismic data. Geophysical Prospecting. 71(8). 1420–1437. 3 indexed citations
4.
Devegowda, Deepak, et al.. (2022). Quantifying the sensitivity of seismic facies classification to seismic attribute selection: An explainable machine-learning study. Interpretation. 10(3). SE41–SE69. 16 indexed citations
5.
Gupta, Ishank, Deepak Devegowda, Vikram Jayaram, et al.. (2020). Application of Interpretable Machine-Learning Workflows To Identify Brittle, Fracturable, and Producible Rock in Horizontal Wells Using Surface Drilling Data. SPE Reservoir Evaluation & Engineering. 23(4). 1328–1342. 16 indexed citations
6.
Zhang, Shuang, et al.. (2020). Joint Interpretation of Fiber Optics and Downhole Gauge Data for Near Wellbore Region Characterization. SPE Hydraulic Fracturing Technology Conference and Exhibition. 6 indexed citations
7.
Gupta, Ishank, Deepak Devegowda, Vikram Jayaram, Chandra Rai, & Carl Sondergeld. (2019). Machine Learning Regressors and their Metrics to predict Synthetic Sonic and Brittle Zones. Proceedings of the 7th Unconventional Resources Technology Conference. 12 indexed citations
8.
Gupta, Ishank, Deepak Devegowda, Vikram Jayaram, Chandra Rai, & Carl Sondergeld. (2019). Machine learning regressors and their metrics to predict synthetic sonic and mechanical properties. Interpretation. 7(3). SF41–SF55. 10 indexed citations
9.
Zhao, Tao, Vikram Jayaram, Atish Roy, & Kurt J. Marfurt. (2015). A comparison of classification techniques for seismic facies recognition. Interpretation. 3(4). SAE29–SAE58. 180 indexed citations
10.
Roy, Atish, Tao Zhao, Vikram Jayaram, & Deepak Devegowda. (2015). Well performance predictions from geologic, petrophysical and completions-related parameters using generative topographic mapping: A field case study. 2. 2853–2857. 2 indexed citations
11.
Jayaram, Vikram, Per Avseth, Deepak Devegowda, et al.. (2015). Introduction to special section: Pattern recognition and machine learning. Interpretation. 3(4). SAEi–SAEii. 2 indexed citations
12.
Zhao, Tao, Sumit Verma, Deepak Devegowda, & Vikram Jayaram. (2015). TOC estimation in the Barnett Shale from triple combo logs using support vector machine. 791–795. 20 indexed citations
13.
Jayaram, Vikram, et al.. (2015). Receiver deghosting method to mitigate F-K transform artifacts: A non-windowing approach. 4530–4534. 2 indexed citations
14.
Zhao, Tao, Vikram Jayaram, Kurt J. Marfurt, & Huailai Zhou. (2014). Lithofacies classification in Barnett Shale using proximal support vector machines. 1491–1495. 25 indexed citations
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Roy, Atish, Vikram Jayaram, & Kurt J. Marfurt. (2013). Distance Metric Based Multi-Attribute Seismic Facies Classification to Identify Sweet Spots within the Barnett shale: A Case Study from the Fort Worth Basin, TX. Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013. 296–305. 3 indexed citations
17.
Jayaram, Vikram, et al.. (2013). A rapid location independent full tensor gravity algorithm. 2931–2934.
18.
Jayaram, Vikram, et al.. (2009). Directional analysis and filtering for dust storm detection in NOAA-AVHRR imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7334. 73341G–73341G. 15 indexed citations
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Jayaram, Vikram, Bryan Usevitch, & Olga Kosheleva. (2005). Detection from hyperspectral images compressed using rate distortion and optimization techniques under JPEG2000 part 2. 111–114. 3 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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