Ladis D. Kovach

About

Ladis D. Kovach is a scholar working on Biomedical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ladis D. Kovach has authored 7 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Biomedical Engineering, 1 paper in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Ladis D. Kovach’s work include Sensor Technology and Measurement Systems (1 paper), Analog and Mixed-Signal Circuit Design (1 paper) and Neural Networks and Applications (1 paper). Ladis D. Kovach is often cited by papers focused on Sensor Technology and Measurement Systems (1 paper), Analog and Mixed-Signal Circuit Design (1 paper) and Neural Networks and Applications (1 paper). Ladis D. Kovach collaborates with scholars based in United States. Ladis D. Kovach's co-authors include R. Betchov and B. E. Hubbard and has published in prestigious journals such as Mathematics of Computation, American Mathematical Monthly and SIMULATION.

In The Last Decade

Co-authorship network of co-authors of Ladis D. Kovach i

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Fields of papers citing papers by Ladis D. Kovach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ladis D. Kovach. 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 Ladis D. Kovach. The network helps show where Ladis D. Kovach may publish in the future.

Countries citing papers authored by Ladis D. Kovach

Since Specialization

Citations

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

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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