Richard Zanibbi

3.0k total citations
67 papers, 1.3k citations indexed

About

Richard Zanibbi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Richard Zanibbi has authored 67 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 38 papers in Computer Vision and Pattern Recognition and 36 papers in Computational Theory and Mathematics. Recurrent topics in Richard Zanibbi's work include Mathematics, Computing, and Information Processing (35 papers), Handwritten Text Recognition Techniques (31 papers) and Natural Language Processing Techniques (18 papers). Richard Zanibbi is often cited by papers focused on Mathematics, Computing, and Information Processing (35 papers), Handwritten Text Recognition Techniques (31 papers) and Natural Language Processing Techniques (18 papers). Richard Zanibbi collaborates with scholars based in United States, Canada and France. Richard Zanibbi's co-authors include Dorothea Blostein, James R. Cordy, Kenny Davila, Lei Hu, Siyu Zhu, Christian Viard-Gaudin, Harold Mouchère, Douglas W. Oard, Francisco Álvaro and Stephanie Ludi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Richard Zanibbi

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard Zanibbi United States 20 797 596 530 166 119 67 1.3k
Ali Jaoua Qatar 13 144 0.2× 274 0.5× 258 0.5× 200 1.2× 70 0.6× 78 629
Robert R. Korfhage United States 14 348 0.4× 456 0.8× 68 0.1× 347 2.1× 105 0.9× 73 938
Kuiyu Chang Singapore 19 195 0.2× 795 1.3× 65 0.1× 451 2.7× 133 1.1× 45 1.1k
Peter Van Roy Belgium 18 79 0.1× 402 0.7× 141 0.3× 279 1.7× 515 4.3× 108 1.1k
Agostino Cortesi Italy 18 138 0.2× 550 0.9× 256 0.5× 371 2.2× 289 2.4× 150 1.0k
William M. Pottenger United States 15 144 0.2× 456 0.8× 48 0.1× 200 1.2× 91 0.8× 57 717
Ting‐Yi Chang Taiwan 17 207 0.3× 457 0.8× 72 0.1× 520 3.1× 308 2.6× 47 867
Klaus U. Schulz Germany 15 139 0.2× 543 0.9× 144 0.3× 121 0.7× 154 1.3× 66 701
Ja-Hwung Su Taiwan 11 386 0.5× 154 0.3× 73 0.1× 203 1.2× 22 0.2× 57 630
P. Eades Australia 6 583 0.7× 138 0.2× 101 0.2× 90 0.5× 84 0.7× 13 797

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
1.
Denmark, Scott E., et al.. (2024). ChemScraper: leveraging PDF graphics instructions for molecular diagram parsing. International Journal on Document Analysis and Recognition (IJDAR). 27(3). 395–414.
2.
Nguyen, Cuong Tuan, et al.. (2024). A survey on handwritten mathematical expression recognition: The rise of encoder-decoder and GNN models. Pattern Recognition. 153. 110531–110531. 6 indexed citations
3.
Fink, Gernot A., Rajiv Jain, Koichi Kise, & Richard Zanibbi. (2023). Document Analysis and Recognition - ICDAR 2023. Lecture notes in computer science. 10 indexed citations
4.
Oard, Douglas W., et al.. (2021). DPRL Systems in the CLEF 2021 ARQMath Lab: Sentence-BERT for Answer Retrieval, Learning-to-Rank for Formula Retrieval.. CLEF (Working Notes). 47–62. 2 indexed citations
5.
Zhong, Wei, et al.. (2021). Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens.. CLEF (Working Notes). 133–156. 2 indexed citations
6.
Zanibbi, Richard, et al.. (2021). XY-PHOC Symbol Location Embeddings for Math Formula Retrieval and Autocompletion.. CLEF (Working Notes). 25–35. 1 indexed citations
7.
Oard, Douglas W., et al.. (2020). DPRL Systems in the CLEF 2020 ARQMath Lab.. CLEF (Working Notes). 1 indexed citations
8.
Zanibbi, Richard, et al.. (2020). Overview of ARQMath 2020 (Updated Working Notes Version): CLEF Lab on Answer Retrieval for Questions on Math.. CLEF (Working Notes). 1 indexed citations
10.
Davila, Kenny, et al.. (2019). LPGA: Line-of-Sight Parsing with Graph-Based Attention for Math Formula Recognition. 647–654. 9 indexed citations
11.
Zanibbi, Richard, et al.. (2019). Characterizing Searches for Mathematical Concepts. 57–66. 9 indexed citations
12.
Davila, Kenny & Richard Zanibbi. (2018). Visual Search Engine for Handwritten and Typeset Math in Lecture Videos and LATEX Notes. 50–55. 10 indexed citations
13.
Davila, Kenny & Richard Zanibbi. (2017). Layout and Semantics. 1165–1168. 25 indexed citations
14.
Davila, Kenny, Richard Zanibbi, Andrew W. Kane, & Frank Wm. Tompa. (2016). Tangent-3 at the NTCIR-12 MathIR Task.. NTCIR. 6 indexed citations
15.
Zanibbi, Richard, Akiko Aizawa, Michael Kohlhase, et al.. (2016). NTCIR-12 MathIR Task Overview.. NTCIR. 28 indexed citations
16.
Mouchère, Harold, Richard Zanibbi, Utpal Garain, & Christian Viard-Gaudin. (2016). Advancing the state of the art for handwritten math recognition: the CROHME competitions, 2011–2014. International Journal on Document Analysis and Recognition (IJDAR). 19(2). 173–189. 37 indexed citations
17.
Zanibbi, Richard, et al.. (2014). Combining TF-IDF Text Retrieval with an Inverted Index over Symbol Pairs in Math Expressions: The Tangent Math Search Engine at NTCIR 2014.. NTCIR. 20 indexed citations
18.
Viard-Gaudin, Christian & Richard Zanibbi. (2012). Document Recognition and Retrieval XIX. 8297. 2 indexed citations
19.
Zanibbi, Richard, et al.. (2011). Moving away from programming and towards computer science in the CS first year. RIT Scholar Works (Rochester Institute of Technology). 26(3). 115–125. 2 indexed citations
20.
Zanibbi, Richard & Bo Yuan. (2010). Keyword and image-based retrieval of mathematical expressions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7874. 78740I–78740I. 20 indexed citations

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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