Daniel Lopresti

102 papers and 928 indexed citations i.

About

Daniel Lopresti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Daniel Lopresti has authored 102 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 16 papers in Information Systems. Recurrent topics in Daniel Lopresti’s work include Handwritten Text Recognition Techniques (47 papers), Image Retrieval and Classification Techniques (19 papers) and Image Processing and 3D Reconstruction (14 papers). Daniel Lopresti is often cited by papers focused on Handwritten Text Recognition Techniques (47 papers), Image Retrieval and Classification Techniques (19 papers) and Image Processing and 3D Reconstruction (14 papers). Daniel Lopresti collaborates with scholars based in United States, India and China. Daniel Lopresti's co-authors include George Nagy, Jiangying Zhou, Gordon Wilfong, Ramanujan S. Kashi, Andrew Tomkins, Jianying Hu, Matthew Hurst, David W. Embley, Fabian Monrose and Lucas Ballard and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biochemical and Biophysical Research Communications and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Daniel Lopresti i

Fields of papers citing papers by Daniel Lopresti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Lopresti

Since Specialization
Citations

This map shows the geographic impact of Daniel Lopresti'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 Daniel Lopresti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lopresti 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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2025