Daniel Lopresti

3.4k citations
150 papers · 1.9k · h-index 24

Impact in

Papers in

    • Handwritten Text Recognition Techniques 70
    • Image Retrieval and Classification Techniques 26
    • Image Processing and 3D Reconstruction 19
    • Advanced Image and Video Retrieval Techniques 14
    • Algorithms and Data Compression 22
    • Natural Language Processing Techniques 16

Daniel Lopresti

139 papers receiving 1.7k citations

Peers

Daniel Lopresti
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 1.0k
  • Hardware and Architecture 201
  • Signal Processing 295
  • Artificial Intelligence 661
  • Information Systems 422
Replace Katrin Franke with:
Katrin Franke Norway
Özgür Ulusoy Türkiye
William F. Clocksin United Kingdom
Bo Wu United States
William P. Birmingham United States
Rong‐Jian Chen Taiwan
Jason Y. Zien United States
Shi‐Kuo Chang United States
Dan Lin United States
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Citations per field
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Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Daniel Lopresti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Lopresti Line = papers co-authored together Daniel Lopresti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991149
2 200683
3 199766
4 199959
5 200758
6 200957
7 200253
8 200252
9
SPLASH: A Reconfigurable Linear Logic Array.
199049
10 200247
11 200238
12 200036
13 202036
14
Biometric authentication revisited: understanding the impact of wolves in sheep's clothing
200636
15 199634
16 199733
17 201233
18 200033
19 201128
20
Evaluating the Security of Handwriting Biometrics
200628

About Daniel Lopresti

Daniel Lopresti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Signal Processing and Computer Networks and Communications, having authored 150 papers that have together received 1.9k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (70 papers), Image Retrieval and Classification Techniques (26 papers), Algorithms and Data Compression (22 papers), Image Processing and 3D Reconstruction (19 papers), Natural Language Processing Techniques (16 papers), Advanced Image and Video Retrieval Techniques (14 papers), User Authentication and Security Systems (12 papers) and Vehicle License Plate Recognition (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Hardware and Architecture (201 citations), Signal Processing (295 citations), Artificial Intelligence (661 citations) and Information Systems (422 citations). Daniel Lopresti has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Jiangying Zhou, George Nagy, Gordon Wilfong, Andrew Tomkins, Fabian Monrose, Ramanujan S. Kashi, Jianying Hu, Lucas Ballard, Ronald G. Minnich and Maya Gokhale. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Retrieval, Pattern Recognition and Pattern Recognition Letters.

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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