Irina Emelyanova

1.5k total citations
31 papers, 1.1k citations indexed

About

Irina Emelyanova is a scholar working on Artificial Intelligence, Environmental Engineering and Mechanics of Materials. According to data from OpenAlex, Irina Emelyanova has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Environmental Engineering and 10 papers in Mechanics of Materials. Recurrent topics in Irina Emelyanova's work include Geochemistry and Geologic Mapping (12 papers), Hydrocarbon exploration and reservoir analysis (10 papers) and Remote Sensing in Agriculture (8 papers). Irina Emelyanova is often cited by papers focused on Geochemistry and Geologic Mapping (12 papers), Hydrocarbon exploration and reservoir analysis (10 papers) and Remote Sensing in Agriculture (8 papers). Irina Emelyanova collaborates with scholars based in Australia, South Korea and United States. Irina Emelyanova's co-authors include Thomas G. Van Niel, Tim R. McVicar, Albert I. J. M. van Dijk, Geoff Hodgson, Olga Barron, Warrick Dawes, Riasat Ali, Don McFarlane, Rui Liu and Mingwei Zhou and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Journal of Hydrology.

In The Last Decade

Irina Emelyanova

30 papers receiving 1.0k citations

Peers

Countries citing papers authored by Irina Emelyanova

Since Specialization

Citations

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

Fields of papers citing papers by Irina Emelyanova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Emelyanova

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

#	Work	Indexed citations
1	Application of conditional generative model for sonic log estimation considering measurement uncertainty 2020 ·Journal of Petroleum Science and Engineering ·Jina Jeong, Eungyu Park, Irina Emelyanova, Marina Pervukhina, Lionel Esteban, Seong‐Taek Yun	14
2	Detecting Specifi c Facies in Well-Log Data Sets Using Knowledge-Driven Hierarchical Clustering 2020 ·Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description ·(unknown), Irina Emelyanova, (unknown), (unknown), Tess Dance, (unknown), Marina Pervukhina, (unknown)	1
3	Identification of deep coal seam families using machine learning 2019 ·ASEG Extended Abstracts ·(unknown), Irina Emelyanova, David S. Warner, (unknown), Mohinudeen Faiz, David N. Dewhurst, (unknown), Marina Pervukhina	1
4	Fast automatic detection of geological boundaries from multivariate log data using recurrence 2019 ·Computers & Geosciences ·Ayham Zaitouny, Michael Small, E. J. Hill, Irina Emelyanova, Michael B. Clennell	19
5	A comparative evaluation of arid inflow-dependent vegetation maps derived from LANDSAT top-of-atmosphere and surface reflectances 2018 ·International Journal of Remote Sensing ·Irina Emelyanova, Olga Barron, (unknown)	6
6	Unsupervised identification of electrofacies employing machine learning 2017 ·Proceedings ·Irina Emelyanova, Marina Pervukhina, Michael B. Clennell, (unknown)	3
7	Improving prediction of Total Organic Carbon in prospective Australian basins by employing machine learning 2016 ·ASEG Extended Abstracts ·Irina Emelyanova, Marina Pervukhina, Michael B. Clennell, David N. Dewhurst	1
8	Delineation of riparian vegetation from Landsat multi-temporal imagery using PCA 2016 ·Hydrological Processes ·(unknown), Irina Emelyanova, Olga Barron, Neil Sims, Mehdi Khiadani, Alireza Mohyeddin	14
9	Applications of standard and advanced statistical methods to TOC estimation in the McArthur and Georgina basins, Australia 2015 ·The Leading Edge ·Irina Emelyanova, Marina Pervukhina, Michael B. Clennell, David N. Dewhurst	4
10	A spatial assessment framework for evaluating flood risk under extreme climates 2015 ·The Science of The Total Environment ·Yun Chen, Rui Liu, D. J. Barrett, Lei Gao, Mingwei Zhou, Luigi J. Renzullo, Irina Emelyanova	148
11	Managing Mine Water under Extreme Climate Variability Using a Model Predictive Control Approach 2014 ·ScholarsArchive (Brigham Young University) ·Lei Gao, D. J. Barrett, Rui Liu, Mingwei Zhou, Luigi J. Renzullo, Irina Emelyanova	2
12	A spatial framework for regional-scale flooding risk assessment 2014 ·ScholarsArchive (Brigham Young University) ·Yun Chen, D. J. Barrett, Rui Liu, Lei Gao, Mingwei Zhou, Luigi J. Renzullo, Susan Cuddy, Irina Emelyanova	8
13	Blending Landsat and MODIS Data to Generate Multispectral Indices: A Comparison of “Index-then-Blend” and “Blend-then-Index” Approaches 2014 ·Remote Sensing ·Ben Jarihani, Tim R. McVicar, Thomas G. Van Niel, Irina Emelyanova, Nik Callow, Kasper Johansen	127
14	Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection 2013 ·Remote Sensing of Environment ·Irina Emelyanova, Tim R. McVicar, Thomas G. Van Niel, (unknown), Albert I. J. M. van Dijk	323
15	Evaluating the cumulative rainfall deviation approach for projecting groundwater levels under future climate 2013 ·Journal of Water and Climate Change ·Irina Emelyanova, Riasat Ali, Warrick Dawes, (unknown), Geoff Hodgson, Don McFarlane	7
16	Modelling the effects of climate and land cover change on groundwater recharge in south-west Western Australia 2012 ·Hydrology and earth system sciences ·Warrick Dawes, Riasat Ali, (unknown), Irina Emelyanova, Geoff Hodgson, Don McFarlane	52
17	Potential climate change impacts on the water balance of regional unconfined aquifer systems in south-western Australia 2012 ·Hydrology and earth system sciences ·Riasat Ali, Don McFarlane, (unknown), Warrick Dawes, Irina Emelyanova, Geoff Hodgson	34
18	Mapping groundwater-dependent ecosystems using remote sensing measures of vegetation and moisture dynamics 2012 ·Hydrological Processes ·Olga Barron, Irina Emelyanova, Thomas G. Van Niel, (unknown), Geoff Hodgson	75
19	Probabilistic Modelling of Cattle Farm Distribution in Australia 2008 ·Environmental Modeling & Assessment ·Irina Emelyanova, G. E. Donald, (unknown), D. Henry, M.G. Garner	9
20	Quantifying skull shape 2004 ·(unknown), R. Linggard, (unknown), Gordon Parker, Irina Emelyanova, Lesley Cala, Y. Attikiouzel, (unknown), Peter A. Robbins, Frank Mastaglia	0

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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