Richard Zanibbi

3.0k citations
67 papers · 1.3k indexed · h-index 20
Topics
Mathematics, Computing, and Information Processing (35 papers)Handwritten Text Recognition Techniques (31 papers)Natural Language Processing Techniques (18 papers)

In The Last Decade

Richard Zanibbi

63 papers receiving 1.1k citations

Peers

Richard Zanibbi
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 797
  • Artificial Intelligence 596
  • Computational Theory and Mathematics 530
  • Information Systems 166
  • Computer Networks and Communications 119
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Countries citing papers authored by Richard Zanibbi

Since Specialization
Citations

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

Fields of papers citing papers by Richard Zanibbi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Zanibbi

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Zanibbi. A scholar is included among the top collaborators of Richard Zanibbi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard Zanibbi. Richard Zanibbi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4 10
5 7
6
XY-PHOC Symbol Location Embeddings for Math Formula Retrieval and Autocompletion.
1
7
DPRL Systems in the CLEF 2021 ARQMath Lab: Sentence-BERT for Answer Retrieval, Learning-to-Rank for Formula Retrieval.
2
8
Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens.
2
9
Overview of ARQMath 2020 (Updated Working Notes Version): CLEF Lab on Answer Retrieval for Questions on Math.
1
10
DPRL Systems in the CLEF 2020 ARQMath Lab.
1
11 8
12 9
13
Tangent-3 at the NTCIR-12 MathIR Task.
6
14
NTCIR-12 MathIR Task Overview.
28
15 37
16
Combining TF-IDF Text Retrieval with an Inverted Index over Symbol Pairs in Math Expressions: The Tangent Math Search Engine at NTCIR 2014.
20
17
Baseline Extraction-Driven Parsing of Handwritten Mathematical Expressions
7
18
Document Recognition and Retrieval XIX
2
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Moving away from programming and towards computer science in the CS first year
2
20 20

About Richard Zanibbi

Richard Zanibbi is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mathematics, Computing, and Information Processing (35 papers), Handwritten Text Recognition Techniques (31 papers) and Natural Language Processing Techniques (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (797 citations), Computational Theory and Mathematics (530 citations) and Artificial Intelligence (596 citations). Richard Zanibbi has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Dorothea Blostein, James R. Cordy, Kenny Davila, Lei Hu, Siyu Zhu, Christian Viard-Gaudin, Harold Mouchère, Douglas W. Oard, Stephanie Ludi and Francisco Álvaro. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 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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