Kayla Mladinich
About
In The Last Decade
Kayla Mladinich
6 papers receiving 324 citations
Peers
Comparison fields: 5 of 27
- Pollution 312
- Industrial and Manufacturing Engineering 198
- Biomaterials 127
- Ocean Engineering 98
- Health, Toxicology and Mutagenesis 32
Countries citing papers authored by Kayla Mladinich
This map shows the geographic impact of Kayla Mladinich'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 Kayla Mladinich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayla Mladinich more than expected).
Fields of papers citing papers by Kayla Mladinich
This network shows the impact of papers produced by Kayla Mladinich. 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 Kayla Mladinich. The network helps show where Kayla Mladinich may publish in the future.
Co-authorship network of co-authors of Kayla Mladinich
This figure shows the co-authorship network connecting the top 25 collaborators of Kayla Mladinich. A scholar is included among the top collaborators of Kayla Mladinich 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 Kayla Mladinich. Kayla Mladinich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 16 | |
| 5 | 25 | |
| 6 | 269 |
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.