Adobe Press

About

Adobe Press is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Adobe Press has authored 4 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Computer Networks and Communications and 1 paper in Computational Theory and Mathematics. Recurrent topics in Adobe Press’s work include Computer Graphics and Visualization Techniques (1 paper), Distributed and Parallel Computing Systems (1 paper) and Mathematics, Computing, and Information Processing (1 paper). Adobe Press is often cited by papers focused on Computer Graphics and Visualization Techniques (1 paper), Distributed and Parallel Computing Systems (1 paper) and Mathematics, Computing, and Information Processing (1 paper). Adobe Press collaborates with scholars based in and . Adobe Press's co-authors include and and has published in prestigious journals such as Addison-Wesley Longman Publishing Co., Inc. eBooks.

In The Last Decade

No nodes

Fields of papers citing papers by Adobe Press

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adobe Press. 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 Adobe Press. The network helps show where Adobe Press may publish in the future.

Countries citing papers authored by Adobe Press

Since Specialization

Citations

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