Mark S. Schmalz

About

Mark S. Schmalz is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Mark S. Schmalz has authored 61 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 14 papers in Aerospace Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Mark S. Schmalz’s work include Advanced Data Compression Techniques (13 papers), CCD and CMOS Imaging Sensors (9 papers) and Medical Image Segmentation Techniques (9 papers). Mark S. Schmalz is often cited by papers focused on Advanced Data Compression Techniques (13 papers), CCD and CMOS Imaging Sensors (9 papers) and Medical Image Segmentation Techniques (9 papers). Mark S. Schmalz collaborates with scholars based in United States, Mexico and Germany. Mark S. Schmalz's co-authors include Sumi Helal, Gerhard X. Ritter, Diane J. Cook, Gonzalo Urcid, Sartaj Sahni, Sanjay Ranka, Ralf Hielscher, Frank M. Caimi, Helmut Schaeben and Jürgen Prestin and has published in prestigious journals such as Neurocomputing, Inverse Problems and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Mark S. Schmalz i

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Fields of papers citing papers by Mark S. Schmalz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Schmalz. 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 Mark S. Schmalz. The network helps show where Mark S. Schmalz may publish in the future.

Countries citing papers authored by Mark S. Schmalz

Since Specialization

Citations

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