Debra Mascaro

19 total papers · 1.4k total citations
16 papers, 1.2k citations indexed

About

Debra Mascaro is a scholar working on Media Technology, Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Debra Mascaro has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Media Technology, 7 papers in Architecture and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Debra Mascaro's work include Engineering Education and Pedagogy (7 papers), Experimental Learning in Engineering (7 papers) and Organic Electronics and Photovoltaics (6 papers). Debra Mascaro is often cited by papers focused on Engineering Education and Pedagogy (7 papers), Experimental Learning in Engineering (7 papers) and Organic Electronics and Photovoltaics (6 papers). Debra Mascaro collaborates with scholars based in United States. Debra Mascaro's co-authors include Christos Dimitrakopoulos, Z. Valy Vardeny, Ye Zhang, Tek Basel, Bhoj Gautam, Feng Liu, Xiaomei Yang, Henry I. Smith, Vladimir Bulović and Mark E. Thompson and has published in prestigious journals such as Nature Communications, Synthetic Metals and IBM Journal of Research and Development.

In The Last Decade

Debra Mascaro

16 papers receiving 1.1k citations

Hit Papers

Organic thin-film transis... 2001 2026 2009 2017 2001 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Debra Mascaro 975 373 265 237 140 16 1.2k
Mang-Mang Ling 1.1k 1.1× 426 1.1× 298 1.1× 270 1.1× 140 1.0× 16 1.3k
Dimitri Janssen 939 1.0× 231 0.6× 294 1.1× 331 1.4× 154 1.1× 17 1.3k
D. M. de Leeuw 816 0.8× 421 1.1× 260 1.0× 230 1.0× 63 0.5× 11 1.0k
R. W. Filas 1.2k 1.2× 515 1.4× 220 0.8× 317 1.3× 167 1.2× 13 1.4k
Matthew Dyson 930 1.0× 477 1.3× 471 1.8× 186 0.8× 87 0.6× 23 1.2k
Mohsen Elain Hajlaoui 1.2k 1.2× 390 1.0× 298 1.1× 176 0.7× 129 0.9× 18 1.4k
Kurt P. Pernstich 1.1k 1.1× 366 1.0× 299 1.1× 132 0.6× 137 1.0× 23 1.2k
Dago de Leeuw 1.3k 1.3× 605 1.6× 352 1.3× 264 1.1× 75 0.5× 13 1.5k
David J. Harkin 795 0.8× 452 1.2× 232 0.9× 169 0.7× 62 0.4× 13 923
B.‐H. Huisman 1.4k 1.4× 677 1.8× 306 1.2× 176 0.7× 112 0.8× 15 1.5k

Countries citing papers authored by Debra Mascaro

Since Specialization
Citations

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

Fields of papers citing papers by Debra Mascaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debra Mascaro

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