John E. Vargas-Muñoz

466 total citations
10 papers, 339 citations indexed

About

John E. Vargas-Muñoz is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, John E. Vargas-Muñoz has authored 10 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Media Technology, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Global and Planetary Change. Recurrent topics in John E. Vargas-Muñoz's work include Remote-Sensing Image Classification (7 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). John E. Vargas-Muñoz is often cited by papers focused on Remote-Sensing Image Classification (7 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). John E. Vargas-Muñoz collaborates with scholars based in Brazil, Netherlands and Switzerland. John E. Vargas-Muñoz's co-authors include Devis Tuia, Shivangi Srivastava, Sylvain Lobry, Alexandre X. Falcão, Jefersson A. dos Santos, Anderson Rocha, Anselmo Ferreira, Konrad Schindler, Rodrigo Caye Daudt and Benjamin Kellenberger and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

John E. Vargas-Muñoz

9 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John E. Vargas-Muñoz Brazil	7	141	118	108	86	58	10	339
Haolin Liang China	5	116 0.8×	226 1.9×	61 0.6×	179 2.1×	33 0.6×	10	439
Ya Guo China	10	237 1.7×	71 0.6×	145 1.3×	46 0.5×	69 1.2×	26	397
Ruoxin Zhu China	10	71 0.5×	73 0.6×	76 0.7×	235 2.7×	46 0.8×	25	492
Hanqing Bao China	5	181 1.3×	162 1.4×	50 0.5×	93 1.1×	38 0.7×	6	343
Ximeng Cheng China	10	31 0.2×	129 1.1×	55 0.5×	204 2.4×	33 0.6×	16	436
Jade Philipoom United States	4	31 0.2×	118 1.0×	58 0.5×	109 1.3×	31 0.5×	6	344
Georges Stamon France	8	114 0.8×	29 0.2×	158 1.5×	5 0.1×	33 0.6×	29	299
Ava Vali Italy	3	182 1.3×	70 0.6×	38 0.4×	8 0.1×	23 0.4×	4	297
Peter Doucette United States	8	66 0.5×	35 0.3×	81 0.8×	11 0.1×	113 1.9×	28	318

Countries citing papers authored by John E. Vargas-Muñoz

Since Specialization

Citations

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

Fields of papers citing papers by John E. Vargas-Muñoz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Vargas-Muñoz. 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 John E. Vargas-Muñoz. The network helps show where John E. Vargas-Muñoz may publish in the future.

Co-authorship network of co-authors of John E. Vargas-Muñoz

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

All Works

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10 of 10 papers shown

Vargas-Muñoz, John E., Rodrigo Caye Daudt, Benjamin Kellenberger, et al.. (2022). Fine-grained population mapping from coarse census counts and open geodata. Scientific Reports. 12(1). 20085–20085. 17 indexed citations

Vargas-Muñoz, John E., Ping Zhou, Alexandre X. Falcão, & Devis Tuia. (2019). Interactive Coconut Tree Annotation Using Feature Space Projections. Data Archiving and Networked Services (DANS). 5718–5721. 6 indexed citations

Srivastava, Shivangi, John E. Vargas-Muñoz, & Devis Tuia. (2019). Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution. Remote Sensing of Environment. 228. 129–143. 125 indexed citations

Srivastava, Shivangi, John E. Vargas-Muñoz, Sylvain Lobry, & Devis Tuia. (2018). Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data. International Journal of Geographical Information Systems. 34(6). 1117–1136. 71 indexed citations

Vargas-Muñoz, John E., Sylvain Lobry, Alexandre X. Falcão, & Devis Tuia. (2018). Correcting rural building annotations in OpenStreetMap using convolutional neural networks. ISPRS Journal of Photogrammetry and Remote Sensing. 147. 283–293. 43 indexed citations

Srivastava, Shivangi, et al.. (2018). Multilabel Building Functions Classification from Ground Pictures using Convolutional Neural Networks. Data Archiving and Networked Services (DANS). 43–46. 19 indexed citations

Vargas-Muñoz, John E., Diego Marcos, Sylvain Lobry, et al.. (2018). Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence. Data Archiving and Networked Services (DANS). 1284–1287. 5 indexed citations

Vargas-Muñoz, John E., Devis Tuia, Jefersson A. dos Santos, & Alexandre X. Falcão. (2017). Post classification smoothing in sub-decimeter resolution images with semi-supervised label propagation. Socio-Environmental Systems Modeling. 3688–3691.

Vargas-Muñoz, John E., et al.. (2017). Towards accurate building recognition using convolutional neural networks. 2012. 1–4. 3 indexed citations

10.

Ferreira, Anselmo, et al.. (2016). Behavior Knowledge Space-Based Fusion for Copy–Move Forgery Detection. IEEE Transactions on Image Processing. 25(10). 4729–4742. 50 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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