Cem Soruşbay
About
In The Last Decade
Cem Soruşbay
16 papers receiving 342 citations
Peers
Comparison fields: 5 of 34
- Fluid Flow and Transfer Processes 319
- Computational Mechanics 224
- Automotive Engineering 132
- Biomedical Engineering 107
- Materials Chemistry 61
Countries citing papers authored by Cem Soruşbay
This map shows the geographic impact of Cem Soruşbay'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 Cem Soruşbay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cem Soruşbay more than expected).
Fields of papers citing papers by Cem Soruşbay
This network shows the impact of papers produced by Cem Soruşbay. 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 Cem Soruşbay. The network helps show where Cem Soruşbay may publish in the future.
Co-authorship network of co-authors of Cem Soruşbay
This figure shows the co-authorship network connecting the top 25 collaborators of Cem Soruşbay. A scholar is included among the top collaborators of Cem Soruşbay 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 Cem Soruşbay. Cem Soruşbay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | Application of Artificial Neural Network to Predict Exhaust Emissions from Road Transport | 1 |
| 5 | 1 | |
| 6 | Development of a driving cycle for the prediction of pollutant emissions and fuel consumption | 13 |
| 7 | 3 | |
| 8 | 17 | |
| 9 | 12 | |
| 10 | 3 | |
| 11 | 127 | |
| 12 | 99 | |
| 13 | 57 | |
| 14 | 10 | |
| 15 | 8 | |
| 16 | 7 |
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.