Dževat Omeragić

585 total citations
46 papers, 449 citations indexed

About

Dževat Omeragić is a scholar working on Geophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Dževat Omeragić has authored 46 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Geophysics, 24 papers in Ocean Engineering and 18 papers in Mechanical Engineering. Recurrent topics in Dževat Omeragić's work include Geophysical and Geoelectrical Methods (27 papers), Seismic Imaging and Inversion Techniques (23 papers) and Hydraulic Fracturing and Reservoir Analysis (10 papers). Dževat Omeragić is often cited by papers focused on Geophysical and Geoelectrical Methods (27 papers), Seismic Imaging and Inversion Techniques (23 papers) and Hydraulic Fracturing and Reservoir Analysis (10 papers). Dževat Omeragić collaborates with scholars based in British Virgin Islands, Norway and United States. Dževat Omeragić's co-authors include Qiming Li, Tarek M. Habashy, Libo Yang, Jean Seydoux, Yonghua Chen, P. Silvester, Cengiz Esmersoy, Frank Antonsen, Raphael Altman and Richard Rosthal and has published in prestigious journals such as Geophysics, The Leading Edge and IEEE Transactions on Computational Imaging.

In The Last Decade

Dževat Omeragić

44 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dževat Omeragić British Virgin Islands	12	330	328	114	57	49	46	449
Michael Bittar United Kingdom	12	360 1.1×	379 1.2×	128 1.1×	72 1.3×	90 1.8×	69	538
L. Tabarovsky United States	10	210 0.6×	253 0.8×	50 0.4×	32 0.6×	57 1.2×	25	322
Jiuping Chen United States	10	246 0.7×	251 0.8×	37 0.3×	30 0.5×	30 0.6×	30	339
Tom Barber British Virgin Islands	11	226 0.7×	289 0.9×	50 0.4×	49 0.9×	46 0.9×	24	350
P. McGillivray Canada	7	473 1.4×	526 1.6×	76 0.7×	20 0.4×	39 0.8×	15	595
Roland Chemali United Kingdom	11	227 0.7×	224 0.7×	108 0.9×	43 0.8×	25 0.5×	51	322
Dikun Yang China	9	357 1.1×	431 1.3×	39 0.3×	16 0.3×	57 1.2×	52	478
Ertan Pekşen Türkiye	11	224 0.7×	213 0.6×	41 0.4×	30 0.5×	33 0.7×	29	321
Richard Rosthal British Virgin Islands	13	287 0.9×	342 1.0×	88 0.8×	44 0.8×	46 0.9×	25	420
James J. Carazzone United States	8	284 0.9×	460 1.4×	136 1.2×	12 0.2×	29 0.6×	12	477

Countries citing papers authored by Dževat Omeragić

Since Specialization

Citations

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

Fields of papers citing papers by Dževat Omeragić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dževat Omeragić

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

Omeragić, Dževat, et al.. (2021). SIDE FAULT MAPPING ENABLED BY 2D TRANSVERSE INVERSION ON NEW DEEP DIRECTIONAL RESISTIVITY MEASUREMENTS. 1 indexed citations

Omeragić, Dževat, et al.. (2019). 2D lateral imaging inversion for directional electromagnetic logging-while-drilling measurements. Geophysics. 84(6). D217–D230. 15 indexed citations

Bayraktar, Zikri, Dževat Omeragić, & Yonghua Chen. (2019). QUANTITATIVE INTERPRETATION OF OIL-BASE MUD MICRORESISTIVITY IMAGER VIA ARTIFICIAL NEURAL NETWORKS. 1–12. 4 indexed citations

Omeragić, Dževat, et al.. (2019). ENHANCING THE LOOK-AHEAD-OF-THE-BIT CAPABILITIES OF DEEP DIRECTIONAL RESISTIVITY MEASUREMENTS WHILE DRILLING. 1–15. 9 indexed citations

Omeragić, Dževat, et al.. (2018). 2D Reservoir Imaging Using Deep Directional Resistivity Measurements. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 59(2). 218–233. 22 indexed citations

Omeragić, Dževat, et al.. (2018). Azimuthal Imaging Using Deep-Directional Resistivity Measurements Reveals 3D Reservoir Structure. 11 indexed citations

Seydoux, Jean, et al.. (2018). Successful Implementation of Real-Time Look-Ahead Resistivity Measurements in the North Sea. 3 indexed citations

Omeragić, Dževat, et al.. (2017). High-Fidelity Real-Time Imaging With Electromagnetic Logging-While-Drilling Measurements. IEEE Transactions on Computational Imaging. 3(2). 369–378. 21 indexed citations

Omeragić, Dževat, et al.. (2017). Inversion-based workflow for oilfield nested multicasing evaluation using electromagnetic low-frequency measurements. AIP conference proceedings. 1806. 110020–110020. 4 indexed citations

10.

Antonsen, Frank, et al.. (2016). Looking ahead of the bit while drilling: from vision to reality. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 57(5). 426–446. 26 indexed citations

11.

Sun, Keli, Chris Morriss, Roger Griffiths, et al.. (2014). Automated Resistivity Inversion for Efficient Formation Evaluation in High-Angle and Horizontal Wells. 7 indexed citations

12.

Chen, Yonghua, et al.. (2014). Inversion -Based Workflow for Quantitative Interpretation of the New-Generation Oil-Based-Mud Resistivity Imager. 55(6). 554–571. 13 indexed citations

13.

Xie, Hui, et al.. (2014). Improved Consistency of Inversion-Based Interpretation of LWD Density Images in Complex Horizontal Well Scenarios. 1 indexed citations

14.

Omeragić, Dževat, et al.. (2013). 3D Parametric Inversion for Interpretation of Logging-While-Drilling Density Images in High-Angle and Horizontal Wells1. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 54(4). 324–340.

15.

Chen, Y., Dževat Omeragić, Vladimir Druskin, et al.. (2011). 2.5D FD modeling of EM directional propagation tools in high‐angle and horizontal wells. 422–426. 11 indexed citations

16.

Sun, Keli, Dževat Omeragić, Chanh Cao Minh, et al.. (2010). Evaluation of Resistivity Anisotropy And Formation Dip From Directional Electromagnetic Tools While Drilling. 9 indexed citations

17.

Omeragić, Dževat, et al.. (2009). 3D Reservoir Characterization and Well Placement in Complex Scenarios Using LWD Directional EM Measurements. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 50(5). 396–415. 16 indexed citations

18.

Omeragić, Dževat, Cengiz Esmersoy, Tarek M. Habashy, et al.. (2006). Sensitivities of directional electromagnetic measurements for well placement and formation evaluation while drilling. 1630–1634. 14 indexed citations

19.

Seydoux, Jean, et al.. (2004). A deep resistivity logging-while-drilling device for proactive geosteering. The Leading Edge. 23(6). 581–586. 9 indexed citations

20.

Omeragić, Dževat & P. Silvester. (1996). Numerical differentiation in magnetic field postprocessing. International Journal of Numerical Modelling Electronic Networks Devices and Fields. 9(1-2). 99–113. 12 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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