Emmanuelle Merced

32 total papers · 604 total citations
26 papers, 542 citations indexed

About

Emmanuelle Merced is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Emmanuelle Merced has authored 26 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Polymers and Plastics, 17 papers in Electrical and Electronic Engineering and 10 papers in Materials Chemistry. Recurrent topics in Emmanuelle Merced's work include Transition Metal Oxide Nanomaterials (17 papers), Shape Memory Alloy Transformations (10 papers) and Piezoelectric Actuators and Control (9 papers). Emmanuelle Merced is often cited by papers focused on Transition Metal Oxide Nanomaterials (17 papers), Shape Memory Alloy Transformations (10 papers) and Piezoelectric Actuators and Control (9 papers). Emmanuelle Merced collaborates with scholars based in United States, Puerto Rico and South Korea. Emmanuelle Merced's co-authors include Nelson Sepúlveda, Rafmag Cabrera, Xiaobo Tan, Jun Zhang, Félix E. Fernández, Noraica Dávila, David Torres, Armando Rúa, Sity Lam and Miao Hu and has published in prestigious journals such as Journal of Applied Physics, Automatica and Sensors and Actuators A Physical.

In The Last Decade

Emmanuelle Merced

26 papers receiving 536 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Emmanuelle Merced	303	281	166	143	132	26	542
Rafmag Cabrera	319 1.1×	319 1.1×	111 0.7×	117 0.8×	15 0.1×	19	451
Wenhua Huang	317 1.0×	68 0.2×	305 1.8×	125 0.9×	82 0.6×	36	561
Runjiang Shen	243 0.8×	196 0.7×	167 1.0×	73 0.5×	18 0.1×	17	521
Shinho Kim	280 0.9×	71 0.3×	120 0.7×	152 1.1×	33 0.3×	24	562
Mohammad Nazari	358 1.2×	266 0.9×	234 1.4×	180 1.3×	26 0.2×	27	572
Seulki Roh	169 0.6×	49 0.2×	233 1.4×	175 1.2×	36 0.3×	36	534
Fengyan Zhang	414 1.4×	88 0.3×	269 1.6×	76 0.5×	99 0.8×	36	564
J.R. Yeargan	461 1.5×	66 0.2×	192 1.2×	92 0.6×	23 0.2×	28	583
M. Bulut Coşkun	254 0.8×	89 0.3×	66 0.4×	52 0.4×	25 0.2×	26	588
Dongho Shin	189 0.6×	45 0.2×	151 0.9×	40 0.3×	177 1.3×	31	575

Countries citing papers authored by Emmanuelle Merced

Since Specialization

Citations

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

Fields of papers citing papers by Emmanuelle Merced

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuelle Merced

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

All Works

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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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