Tamara Merckx

1.6k total citations
27 papers, 1.3k citations indexed

About

Tamara Merckx is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Tamara Merckx has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 13 papers in Materials Chemistry and 6 papers in Polymers and Plastics. Recurrent topics in Tamara Merckx's work include Perovskite Materials and Applications (21 papers), Chalcogenide Semiconductor Thin Films (12 papers) and Quantum Dots Synthesis And Properties (9 papers). Tamara Merckx is often cited by papers focused on Perovskite Materials and Applications (21 papers), Chalcogenide Semiconductor Thin Films (12 papers) and Quantum Dots Synthesis And Properties (9 papers). Tamara Merckx collaborates with scholars based in Belgium, Netherlands and United States. Tamara Merckx's co-authors include Robert Gehlhaar, Weiming Qiu, Jef Poortmans, Ulrich W. Paetzold, David Cheyns, Paul Heremans, Manoj Jaysankar, Tom Aernouts, Lucija Rakocevic and Henri Fledderus and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and Advanced Functional Materials.

In The Last Decade

Tamara Merckx

25 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamara Merckx Belgium 16 1.3k 812 473 40 30 27 1.3k
Chin‐Lung Chung Taiwan 11 1.4k 1.1× 938 1.2× 314 0.7× 20 0.5× 76 2.5× 18 1.5k
Lidia Contreras‐Bernal Spain 15 907 0.7× 504 0.6× 503 1.1× 39 1.0× 14 0.5× 29 969
Wenjian Shen China 15 851 0.7× 478 0.6× 461 1.0× 25 0.6× 34 1.1× 29 900
Ganbaatar Tumen‐Ulzii Japan 12 964 0.8× 594 0.7× 423 0.9× 26 0.7× 10 0.3× 22 989
Mei‐Feng Xu China 18 988 0.8× 579 0.7× 595 1.3× 45 1.1× 22 0.7× 46 1.2k
Jianzhuo Zhu China 15 898 0.7× 440 0.5× 536 1.1× 17 0.4× 26 0.9× 44 998
Alexander D. Jodlowski Spain 6 729 0.6× 583 0.7× 286 0.6× 32 0.8× 11 0.4× 8 784
Minh Anh Truong Japan 15 972 0.8× 448 0.6× 548 1.2× 33 0.8× 52 1.7× 39 1.1k
Xueping Yi United States 13 657 0.5× 311 0.4× 360 0.8× 17 0.4× 28 0.9× 17 735
Xingdong Ding China 19 954 0.8× 378 0.5× 663 1.4× 119 3.0× 13 0.4× 37 1.0k

Countries citing papers authored by Tamara Merckx

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Merckx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Merckx

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Merckx. A scholar is included among the top collaborators of Tamara Merckx 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 Tamara Merckx. Tamara Merckx 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.
Norton, Matthew, Maria Hadjipanayi, Tamara Merckx, et al.. (2025). A novel way of analyzing perovskite outdoor degradation: the S- V oc. Document Server@UHasselt (UHasselt). 1(5). 724–731.
2.
3.
Norton, Matthew, Andreas Livera, Andreas Kyprianou, et al.. (2024). Diurnal Changes and Machine Learning Analysis of Perovskite Modules Based on Two Years of Outdoor Monitoring. ACS Energy Letters. 9(10). 5081–5091. 9 indexed citations
4.
Whiteside, Vincent R., Mritunjaya Parashar, Tamara Merckx, et al.. (2024). Radiation versus environmental degradation in unencapsulated metal halide perovskite solar cells. Journal of Physics Energy. 6(4). 45001–45001. 8 indexed citations
5.
Merckx, Tamara, Aránzazu Aguirre, Yinghuan Kuang, et al.. (2023). Stable Device Architecture With Industrially Scalable Processes for Realizing Efficient 784 cm2 Monolithic Perovskite Solar Modules. IEEE Journal of Photovoltaics. 13(3). 419–421. 10 indexed citations
6.
Zhang, Xin, Shivam Singh, Paulo E. Marchezi, et al.. (2023). Toward Efficient and Fully Scalable Sputtered NiOx‐Based Inverted Perovskite Solar Modules via Co‐Ordinated Modification Strategies. Solar RRL. 8(3). 17 indexed citations
7.
Merckx, Tamara, Brijesh Tripathi, H.‐G. Boyen, et al.. (2019). Potential‐Induced Degradation and Recovery of Perovskite Solar Cells. Solar RRL. 3(10). 32 indexed citations
8.
Rakocevic, Lucija, Laura E. Mundt, Robert Gehlhaar, et al.. (2019). Loss Analysis in Perovskite Photovoltaic Modules. Solar RRL. 3(12). 32 indexed citations
9.
Eerden, Maarten van, Manoj Jaysankar, Afshin Hadipour, et al.. (2017). Optical Analysis of Planar Multicrystalline Perovskite Solar Cells. Advanced Optical Materials. 5(18). 63 indexed citations
10.
Qiu, Weiming, Aniruddha Ray, Manoj Jaysankar, et al.. (2017). An Interdiffusion Method for Highly Performing Cesium/Formamidinium Double Cation Perovskites. Advanced Functional Materials. 27(28). 71 indexed citations
11.
Qiu, Weiming, João P. A. Bastos, Tamara Merckx, et al.. (2017). Highly efficient perovskite solar cells with crosslinked PCBM interlayers. Journal of Materials Chemistry A. 5(6). 2466–2472. 53 indexed citations
12.
Makuc, Damjan, Tamara Merckx, Wim Dehaen, & Janez Plavec. (2016). Conformational NMR Study of Bistriazolyl Anion Receptors. Acta chimica slovenica. 63(3). 484–488. 3 indexed citations
13.
Rakocevic, Lucija, Robert Gehlhaar, Tamara Merckx, et al.. (2016). Interconnection Optimization for Highly Efficient Perovskite Modules. IEEE Journal of Photovoltaics. 7(1). 404–408. 99 indexed citations
14.
Qiu, Weiming, Tamara Merckx, Manoj Jaysankar, et al.. (2016). Pinhole-free perovskite films for efficient solar modules. Energy & Environmental Science. 9(2). 484–489. 260 indexed citations
15.
Tait, Jeffrey G., Tamara Merckx, Weiming Qiu, et al.. (2016). Photovoltaics: Nonhazardous Solvent Systems for Processing Perovskite Photovoltaics (Adv. Energy Mater. 14/2016). Advanced Energy Materials. 6(14). 3 indexed citations
16.
Tait, Jeffrey G., Tamara Merckx, Weiming Qiu, et al.. (2016). Nonhazardous Solvent Systems for Processing Perovskite Photovoltaics. Advanced Energy Materials. 6(14). 193 indexed citations
17.
Tait, Jeffrey G., Tamara Merckx, Wenqi Li, et al.. (2015). Blade Coating: Determination of Solvent Systems for Blade Coating Thin Film Photovoltaics (Adv. Funct. Mater. 22/2015). Advanced Functional Materials. 25(22). 3444–3444. 2 indexed citations
18.
Gehlhaar, Robert, et al.. (2015). Perovskite solar modules with minimal area loss interconnections. SPIE Newsroom. 9 indexed citations
19.
Tait, Jeffrey G., Tamara Merckx, Wenqi Li, et al.. (2015). Determination of Solvent Systems for Blade Coating Thin Film Photovoltaics. Advanced Functional Materials. 25(22). 3393–3398. 61 indexed citations
20.
Merckx, Tamara, Peter Verwilst, & Wim Dehaen. (2013). Preorganization in bistriazolyl anion receptors. Tetrahedron Letters. 54(32). 4237–4240. 19 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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