Ahinoam Pollack

571 total citations · 1 hit paper
8 papers, 426 citations indexed

About

Ahinoam Pollack is a scholar working on Ocean Engineering, Artificial Intelligence and Geophysics. According to data from OpenAlex, Ahinoam Pollack has authored 8 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ocean Engineering, 3 papers in Artificial Intelligence and 3 papers in Geophysics. Recurrent topics in Ahinoam Pollack's work include Reservoir Engineering and Simulation Methods (5 papers), Seismic Imaging and Inversion Techniques (3 papers) and Seismic Waves and Analysis (2 papers). Ahinoam Pollack is often cited by papers focused on Reservoir Engineering and Simulation Methods (5 papers), Seismic Imaging and Inversion Techniques (3 papers) and Seismic Waves and Analysis (2 papers). Ahinoam Pollack collaborates with scholars based in United States and Israel. Ahinoam Pollack's co-authors include Tapan Mukerji, Vishal Das, Uri Wollner, Pengcheng Fu, Roland N. Horne, Drew L. Siler, Michael D. Toland and Trenton T. Cladouhos and has published in prestigious journals such as Applied Energy, Geophysics and Geothermics.

In The Last Decade

Ahinoam Pollack

7 papers receiving 417 citations

Hit Papers

align trajectories sort by overperformance

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.

Convolutional neural network for seismic impedance inversion

2019 304 citations Vishal Das, Ahinoam Pollack et al. Geophysics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ahinoam Pollack United States	5	340	283	183	59	50	8	426
Pawan Bharadwaj India	9	246 0.7×	119 0.4×	178 1.0×	14 0.2×	85 1.7×	21	464
Qiancheng Liu China	14	656 1.9×	254 0.9×	136 0.7×	23 0.4×	48 1.0×	34	721
Gustavo Ugueto Netherlands	15	446 1.3×	596 2.1×	492 2.7×	87 1.5×	38 0.8×	37	773
Majid Nabi‐Bidhendi Iran	11	196 0.6×	221 0.8×	179 1.0×	197 3.3×	31 0.6×	30	400
Xingjian Wang China	13	290 0.9×	156 0.6×	112 0.6×	114 1.9×	40 0.8×	52	417
Reetam Biswas United States	9	406 1.2×	265 0.9×	158 0.9×	47 0.8×	62 1.2×	23	442
Xu Ji United States	6	284 0.8×	231 0.8×	109 0.6×	36 0.6×	84 1.7×	29	355
José J. S. de Figueiredo Brazil	11	311 0.9×	228 0.8×	106 0.6×	101 1.7×	19 0.4×	59	374
Dimitri Bevc United States	11	458 1.3×	280 1.0×	145 0.8×	28 0.5×	20 0.4×	53	499

Countries citing papers authored by Ahinoam Pollack

Since Specialization

Citations

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

Fields of papers citing papers by Ahinoam Pollack

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahinoam Pollack

This figure shows the co-authorship network connecting the top 25 collaborators of Ahinoam Pollack. A scholar is included among the top collaborators of Ahinoam Pollack 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 Ahinoam Pollack. Ahinoam Pollack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Pollack, Ahinoam, et al.. (2021). Stochastic inversion of gravity, magnetic, tracer, lithology, and fault data for geologically realistic structural models: Patua Geothermal Field case study. Geothermics. 95. 102129–102129. 8 indexed citations

2.

Pollack, Ahinoam, et al.. (2020). A spatial-statistical investigation of surface expressions associated with cyclic steaming in the Midway-Sunset Oil Field, California. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 6(1). 4 indexed citations

3.

Pollack, Ahinoam. (2020). Investigation of Surface Expressions in the Midway Sunset Oil Field. Data Archiving and Networked Services (DANS). 2.

4.

Das, Vishal, Ahinoam Pollack, Uri Wollner, & Tapan Mukerji. (2019). Convolutional neural network for seismic impedance inversion. Geophysics. 84(6). R869–R880. 304 indexed citations breakdown →

5.

Pollack, Ahinoam & Tapan Mukerji. (2019). Accounting for subsurface uncertainty in enhanced geothermal systems to make more robust techno-economic decisions. Applied Energy. 254. 113666–113666. 36 indexed citations

6.

Das, Vishal, Ahinoam Pollack, Uri Wollner, & Tapan Mukerji. (2019). Effect of rock physics modeling in impedance inversion from seismic data using convolutional neural network. 522–525. 10 indexed citations

7.

Das, Vishal, Ahinoam Pollack, Uri Wollner, & Tapan Mukerji. (2018). Convolutional neural network for seismic impedance inversion. 2071–2075. 63 indexed citations

8.

Pollack, Ahinoam. (2018). Spatial Statistical Investigation of Surface Expressions in the Midway Sunset Oil Field. SPE Annual Technical Conference and Exhibition. 1 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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