Eva Mutunga

12 papers receiving 427 citations

Peers

Eva Mutunga
Comparison fields: 5 of 43
  • Structural Biology 64
  • Surfaces, Coatings and Films 84
  • Biomedical Engineering 218
  • Computational Mechanics 88
  • Electrical and Electronic Engineering 169
Replace Taek Yong Hwang with:
Taek Yong Hwang United States
Sang‐Gil Ryu United States
William J. Arora United States
Yiling Lian China
Qi Hang Qin Finland
Keng-Jeng Ma Taiwan
F. Dhalluin France
Xiaoxiang Xia China
Jonas Groten Austria
Philip L. Flaitz United States
Eva Mutunga relative to Taek Yong Hwang United States Taek Yong Hwang's profile →
Citations per field
00.5×2×2.9×
Taek Yong Hwang · 1×
Citations per year

Countries citing papers authored by Eva Mutunga

Since Specialization
Citations

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

Fields of papers citing papers by Eva Mutunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Mutunga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Mutunga Line = papers co-authored together Eva Mutunga links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2014246
2 201862
3 201939
4 201430
5 201927
6 201916
7 20215
8 20233
9 20223
10 20213
11 20231
12 20161
13 20220
14 20240

About Eva Mutunga

Eva Mutunga is a scholar working on Surfaces, Coatings and Films, Structural Biology, Architecture, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering, having authored 14 papers that have together received 436 indexed citations. Recurring topics across this work include Magnetism in coordination complexes (3 papers), Molecular Junctions and Nanostructures (3 papers), Diamond and Carbon-based Materials Research (2 papers), Engineering Education and Curriculum Development (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Ion-surface interactions and analysis (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers) and Engineering Education and Pedagogy (2 papers). The work is most often cited by research in Structural Biology (64 citations), Surfaces, Coatings and Films (84 citations), Biomedical Engineering (218 citations), Computational Mechanics (88 citations) and Electrical and Electronic Engineering (169 citations). Eva Mutunga has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Kate L. Klein, Shanliangzi Liu, Viraj G. Damle, Konrad Rykaczewski, Kyle Doudrick, Philip D. Rack, Harald Plank, Jason D. Fowlkes, Robert Winkler and Jürgen Sattelkow. Their work appears in journals such as ACS Applied Nano Materials, Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, MRS Communications, Organic Electronics and ACS Nano.

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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