Ernesto Tapia

404 total citations
13 papers, 212 citations indexed

About

Ernesto Tapia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ernesto Tapia has authored 13 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Ernesto Tapia's work include Handwritten Text Recognition Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). Ernesto Tapia is often cited by papers focused on Handwritten Text Recognition Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). Ernesto Tapia collaborates with scholars based in Germany, Mexico and Canada. Ernesto Tapia's co-authors include Raúl Rojas, Gerald Friedland, Marte A. Ramírez-Ortegón, Erik Cuevas, Joachim Schulte and Andreas Stoffel and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and Journal of Sleep Research.

In The Last Decade

Ernesto Tapia

12 papers receiving 195 citations

Peers

Ernesto Tapia

CVPR

AI

MT

CTM

HI

Cinthia Obladen de Almendra Freitas‍ Brazil

Fuzong Lin China

Philippe Mulhem France

Darko Brodić Serbia

Junichi Kanai United States

Matthias Zimmermann Switzerland

Franz L. Alt United States

Luca Piras Italy

Toshikazu Kato Japan

Cinthia Obladen de Almendra Freitas‍ Brazil

Ernesto Tapia

254 ×1.7

CVPR

90 ×2.1

AI

50 ×1.5

MT

4 ×0.2

CTM

12 ×0.5

HI

Citations per year, relative to Ernesto Tapia Ernesto Tapia (= 1×) peers Cinthia Obladen de Almendra Freitas‍

Countries citing papers authored by Ernesto Tapia

Since Specialization

Citations

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

Fields of papers citing papers by Ernesto Tapia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ernesto Tapia

This figure shows the co-authorship network connecting the top 25 collaborators of Ernesto Tapia. A scholar is included among the top collaborators of Ernesto Tapia 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 Ernesto Tapia. Ernesto Tapia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Tapia, Ernesto. (2014). Gaussian and student-t filtering using implicit measurements via variational bayes. 2 indexed citations

2.

Ramírez-Ortegón, Marte A., Ernesto Tapia, Raúl Rojas, & Erik Cuevas. (2010). Transition thresholds and transition operators for binarization and edge detection. Pattern Recognition. 43(10). 3243–3254. 20 indexed citations

3.

Tapia, Ernesto. (2010). A note on the computation of high-dimensional integral images. Pattern Recognition Letters. 32(2). 197–201. 22 indexed citations

4.

Stoffel, Andreas, Ernesto Tapia, & Raúl Rojas. (2009). Recognition of On-Line Handwritten Commutative Diagrams. 15. 1211–1215. 4 indexed citations

5.

Ramírez-Ortegón, Marte A., et al.. (2009). Transition pixel: A concept for binarization based on edge detection and gray-intensity histograms. Pattern Recognition. 43(4). 1233–1243. 39 indexed citations

6.

Tapia, Ernesto, et al.. (2007). Quantile Linear Algorithm for Robust Binarization of Digitalized Letters. Proceedings of the International Conference on Document Analysis and Recognition. 1158–1162. 12 indexed citations

7.

Tapia, Ernesto & Raúl Rojas. (2007). A survey on recognition of on-line handwritten mathematical notation. Refubium (Universitätsbibliothek der Freien Universität Berlin). 15 indexed citations

8.

Tapia, Ernesto & Raúl Rojas. (2006). A neural architecture for blind source separation. Journal of Sleep Research. 23(1). 53–60.

9.

Tapia, Ernesto & Raúl Rojas. (2005). Recognition of on-line handwritten mathematical formulas in the E-chalk system. 1. 980–984. 28 indexed citations

10.

Tapia, Ernesto & Raúl Rojas. (2005). Recognition of on-line handwritten mathematical expressions in the E-Chalk system - an extension. 1206–1210 Vol. 2. 18 indexed citations

11.

Friedland, Gerald, et al.. (2004). WEB BASED LECTURES PRODUCED BY AI SUPPORTED CLASSROOM TEACHING. International Journal of Artificial Intelligence Tools. 13(2). 367–382. 5 indexed citations

12.

Friedland, Gerald, et al.. (2004). E‐Chalk: a lecture recording system using the chalkboard metaphor. Interactive Technology and Smart Education. 1(1). 9–20. 23 indexed citations

13.

Friedland, Gerald, et al.. (2004). Teaching with an intelligent electronic chalkboard. 16–23. 24 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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