G.E. Asturias

9 total papers · 1.4k total citations
9 papers, 1.3k citations indexed

About

G.E. Asturias is a scholar working on Polymers and Plastics, Bioengineering and Electrical and Electronic Engineering. According to data from OpenAlex, G.E. Asturias has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Polymers and Plastics, 8 papers in Bioengineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in G.E. Asturias's work include Conducting polymers and applications (9 papers), Analytical Chemistry and Sensors (8 papers) and Electrochemical sensors and biosensors (7 papers). G.E. Asturias is often cited by papers focused on Conducting polymers and applications (9 papers), Analytical Chemistry and Sensors (8 papers) and Electrochemical sensors and biosensors (7 papers). G.E. Asturias collaborates with scholars based in United States and Germany. G.E. Asturias's co-authors include Alan G. MacDiarmid, A. J. Epstein, R. P. McCall, Anjan Ray, E. M. Scherr, A.J. Epstein, J. M. Ginder, A.F. Richter, Susan Ermer and Muhammad Saeed Akhtar and has published in prestigious journals such as Physical review. B, Condensed matter, Synthetic Metals and Berichte der Bunsengesellschaft für physikalische Chemie.

In The Last Decade

G.E. Asturias

9 papers receiving 1.2k citations

Hit Papers

Polyaniline: Solutions, F... 1988 2026 2000 2013 1988 1989 1989 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
G.E. Asturias 1.2k 839 631 413 167 9 1.3k
Matthew Gerard 937 0.8× 818 1.0× 392 0.6× 399 1.0× 301 1.8× 8 1.3k
E. M. Scherr 1.6k 1.4× 1.1k 1.3× 726 1.2× 678 1.6× 201 1.2× 23 1.7k
Gue‐Wuu Hwang 958 0.8× 851 1.0× 284 0.5× 269 0.7× 85 0.5× 17 1.1k
Yen Wei 1.5k 1.2× 946 1.1× 656 1.0× 366 0.9× 335 2.0× 16 1.6k
F. Louwet 1.2k 1.0× 940 1.1× 201 0.3× 608 1.5× 81 0.5× 12 1.4k
J.F. Penneau 949 0.8× 918 1.1× 284 0.5× 194 0.5× 261 1.6× 18 1.3k
Irina Schwendeman 1.4k 1.1× 901 1.1× 240 0.4× 228 0.6× 60 0.4× 10 1.5k
A.T. Mane 674 0.6× 897 1.1× 546 0.9× 486 1.2× 37 0.2× 19 1.2k
Christina O. Baker 991 0.8× 790 0.9× 317 0.5× 633 1.5× 78 0.5× 12 1.4k
J. Mazurkiewicz 774 0.6× 441 0.5× 174 0.3× 427 1.0× 155 0.9× 9 1.2k

Countries citing papers authored by G.E. Asturias

Since Specialization
Citations

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

Fields of papers citing papers by G.E. Asturias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.E. Asturias. 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 G.E. Asturias. The network helps show where G.E. Asturias may publish in the future.

Co-authorship network of co-authors of G.E. Asturias

This figure shows the co-authorship network connecting the top 25 collaborators of G.E. Asturias. A scholar is included among the top collaborators of G.E. Asturias 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 G.E. Asturias. G.E. Asturias 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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