DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering
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doi.org/10.1109/tap.2018.2885437 →Countries where authors are citing DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering
This map shows the geographic impact of DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering. 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 DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering more than expected).
Fields of papers citing DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering
This network shows the impact of DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering.
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.
This paper is also available at doi.org/10.1109/tap.2018.2885437.