Marco Iglesias

1.3k total citations
35 papers, 801 citations indexed

About

Marco Iglesias is a scholar working on Environmental Engineering, Ocean Engineering and Geophysics. According to data from OpenAlex, Marco Iglesias has authored 35 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 10 papers in Ocean Engineering and 8 papers in Geophysics. Recurrent topics in Marco Iglesias's work include Reservoir Engineering and Simulation Methods (10 papers), Groundwater flow and contamination studies (9 papers) and Education and Teacher Training (7 papers). Marco Iglesias is often cited by papers focused on Reservoir Engineering and Simulation Methods (10 papers), Groundwater flow and contamination studies (9 papers) and Education and Teacher Training (7 papers). Marco Iglesias collaborates with scholars based in United Kingdom, United States and Spain. Marco Iglesias's co-authors include Andrew M. Stuart, Kody J. H. Law, Clint Dawson, Yuchen Yang, M. V. Tretyakov, Dennis McLaughlin, Kui Lin, Lassi Roininen, Christopher J. Wood and Minho Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and International Journal of Heat and Mass Transfer.

In The Last Decade

Marco Iglesias

34 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Iglesias United Kingdom 15 245 189 169 155 133 35 801
Bart van Bloemen Waanders United States 14 72 0.3× 61 0.3× 121 0.7× 82 0.5× 49 0.4× 47 834
Christian Lantuéjoul France 9 142 0.6× 50 0.3× 493 2.9× 266 1.7× 176 1.3× 17 943
Daniel O’Malley United States 24 319 1.3× 202 1.1× 476 2.8× 283 1.8× 460 3.5× 106 1.6k
Weidong Zhao China 20 56 0.2× 47 0.2× 268 1.6× 47 0.3× 202 1.5× 103 1.3k
Tiangang Cui Australia 13 98 0.4× 48 0.3× 105 0.6× 213 1.4× 43 0.3× 36 634
Fulvio Tonon United States 27 232 0.9× 76 0.4× 79 0.5× 42 0.3× 187 1.4× 83 2.0k
Daniela Kühn United Kingdom 28 187 0.8× 983 5.2× 101 0.6× 277 1.8× 141 1.1× 136 2.4k
Nikola Kovachki United States 8 63 0.3× 44 0.2× 40 0.2× 137 0.9× 46 0.3× 12 518
David A. Barajas‐Solano United States 12 149 0.6× 109 0.6× 188 1.1× 143 0.9× 127 1.0× 31 887
Christian Tiberius Netherlands 28 152 0.6× 89 0.5× 111 0.7× 241 1.6× 33 0.2× 113 2.5k

Countries citing papers authored by Marco Iglesias

Since Specialization
Citations

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

Fields of papers citing papers by Marco Iglesias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Iglesias

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Iglesias. A scholar is included among the top collaborators of Marco Iglesias 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 Marco Iglesias. Marco Iglesias 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
1.
Iglesias, Marco, et al.. (2024). Bayesian inversion for in-situ thermal characterisation of walls in the presence of thermal anomalies. Energy and Buildings. 319. 114558–114558. 1 indexed citations
2.
Tso, Chak‐Hau Michael, Marco Iglesias, & Andrew Binley. (2024). Ensemble Kalman inversion of induced polarization data. Geophysical Journal International. 236(3). 1877–1900. 5 indexed citations
3.
Iglesias, Marco, et al.. (2024). Real-time Bayesian inversion in resin transfer moulding using neural surrogates. Composites Part A Applied Science and Manufacturing. 185. 108355–108355. 3 indexed citations
4.
Iglesias, Marco, et al.. (2023). On a Dynamic Variant of the Iteratively Regularized Gauss–Newton Method with Sequential Data. SIAM Journal on Scientific Computing. 45(6). A3020–A3046. 1 indexed citations
5.
Iglesias, Marco, Deirdre M. McGrath, M. V. Tretyakov, & Susan Francis. (2022). Ensemble Kalman inversion for magnetic resonance elastography. Physics in Medicine and Biology. 67(23). 235003–235003. 6 indexed citations
6.
Matveev, M.Y., A. Endruweit, A.C. Long, Marco Iglesias, & M. V. Tretyakov. (2021). Bayesian inversion algorithm for estimating local variations in permeability and porosity of reinforcements using experimental data. Composites Part A Applied Science and Manufacturing. 143. 106323–106323. 21 indexed citations
7.
Iglesias, Marco & Yuchen Yang. (2020). Adaptive regularisation for ensemble Kalman inversion. Inverse Problems. 37(2). 25008–25008. 33 indexed citations
8.
Iglesias, Marco, et al.. (2020). Las acciones didácticas del profesorado novel universitario: un estudio cualitativo desde una perspectiva interdisciplinar. Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante). 2(1). 26–41. 1 indexed citations
9.
Iglesias, Marco, et al.. (2019). Framework for emulation and uncertainty quantification of a stochastic building performance simulator. Applied Energy. 258. 113759–113759. 12 indexed citations
10.
Iglesias, Marco, Minho Park, & M. V. Tretyakov. (2018). Bayesian inversion in resin transfer molding. Inverse Problems. 34(10). 105002–105002. 30 indexed citations
11.
12.
Iglesias, Marco, et al.. (2018). Parameterizations for ensemble Kalman inversion. Inverse Problems. 34(5). 55009–55009. 48 indexed citations
13.
Iglesias, Marco, et al.. (2018). La calidad e innovación educativa en la formación continua docente: un estudio cualitativo en dos centros educativos. SHILAP Revista de lepidopterología. 77(1). 13–34. 19 indexed citations
14.
Iglesias, Marco, et al.. (2017). Bayesian inferences of the thermal properties of a wall using temperature and heat flux measurements. International Journal of Heat and Mass Transfer. 116. 417–431. 17 indexed citations
15.
Coors, Volker, et al.. (2016). QUALITATIVE SCREENING METHOD FOR IMPACT ASSESSMENT OF UNCERTAIN BUILDING GEOMETRY ON THERMAL ENERGY DEMAND PREDICTIONS. SHILAP Revista de lepidopterología. XLII-2/W2. 127–134. 2 indexed citations
16.
Astray, Gonzalo, B. Soto, Dina L. López, Marco Iglesias, & Juan C. Mejuto. (2016). Application of transit data analysis and artificial neural network in the prediction of discharge of Lor River, NW Spain. Water Science & Technology. 73(7). 1756–1767. 7 indexed citations
17.
Iglesias, Marco, et al.. (2016). Hierarchical Bayesian level set inversion. Statistics and Computing. 27(6). 1555–1584. 50 indexed citations
18.
Iglesias, Marco & Andrew M. Stuart. (2014). Inverse Problems and Uncertainty Quantification. CaltechAUTHORS (California Institute of Technology). 2 indexed citations
19.
Iglesias, Marco, et al.. (2013). Los modelos docentes desde las narrativas de los profesores noveles universitarios: un estudio cualitativo. Revista Iberoamericana de Educación. 61(2). 1–8.
20.
Iglesias, Marco, et al.. (2012). Contributions of teaching students to built a competent teacher profile from the reflexion in the classroom Aportaciones de los maestros en formación a la construcción del perfil del docente competente desde la reflexión en el aula. SHILAP Revista de lepidopterología. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Bart van Bloemen Waanders Breakdown of academic impact, for papers by Christian Lantuéjoul Breakdown of academic impact, for papers by Daniel O’Malley Breakdown of academic impact, for papers by Weidong Zhao Breakdown of academic impact, for papers by Tiangang Cui Breakdown of academic impact, for papers by Fulvio Tonon Breakdown of academic impact, for papers by Daniela Kühn Breakdown of academic impact, for papers by Nikola Kovachki Breakdown of academic impact, for papers by David A. Barajas‐Solano Breakdown of academic impact, for papers by Christian Tiberius
Rankless by CCL
2026