Keith Savino

14 total papers · 442 total citations
11 papers, 386 citations indexed

About

Keith Savino is a scholar working on Biomedical Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Keith Savino has authored 11 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 7 papers in Materials Chemistry and 3 papers in Polymers and Plastics. Recurrent topics in Keith Savino's work include Bone Tissue Engineering Materials (7 papers), Conducting polymers and applications (3 papers) and Titanium Alloys Microstructure and Properties (2 papers). Keith Savino is often cited by papers focused on Bone Tissue Engineering Materials (7 papers), Conducting polymers and applications (3 papers) and Titanium Alloys Microstructure and Properties (2 papers). Keith Savino collaborates with scholars based in United States and China. Keith Savino's co-authors include Matthew Z. Yates, Dongxia Liu, Cong Fu, Baohong Guan, Paul A. Gabrys, Benjamin L. Miller, Yun Gao, Xuefei Zhang, Hailu Fu and Zhongbiao Wu and has published in prestigious journals such as Chemistry of Materials, Advanced Functional Materials and Colloids and Surfaces A Physicochemical and Engineering Aspects.

In The Last Decade

Keith Savino

10 papers receiving 381 citations

Author Peers

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

Author Last Decade Papers Cites
Keith Savino 271 180 129 54 51 11 386
Djahida Sidane 278 1.0× 160 0.9× 97 0.8× 61 1.1× 78 1.5× 10 396
E. Bouyer 248 0.9× 171 0.9× 92 0.7× 48 0.9× 43 0.8× 21 437
B. Trybalska 243 0.9× 130 0.7× 93 0.7× 56 1.0× 57 1.1× 15 370
Akbar Chami 255 0.9× 180 1.0× 176 1.4× 35 0.6× 87 1.7× 11 419
Gina Lim 290 1.1× 125 0.7× 139 1.1× 73 1.4× 33 0.6× 9 417
Ram Kishore Singh 251 0.9× 149 0.8× 93 0.7× 34 0.6× 56 1.1× 15 400
Grzegorz Kmita 258 1.0× 176 1.0× 62 0.5× 36 0.7× 52 1.0× 14 385
A. Brożek 326 1.2× 138 0.8× 94 0.7× 66 1.2× 74 1.5× 9 396
Cui Song 218 0.8× 83 0.5× 116 0.9× 33 0.6× 41 0.8× 14 383
Chotimah 264 1.0× 99 0.6× 164 1.3× 34 0.6× 44 0.9× 21 410

Countries citing papers authored by Keith Savino

Since Specialization
Citations

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

Fields of papers citing papers by Keith Savino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Savino

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