Roberto Rodríguez

482 total citations
34 papers, 308 citations indexed

About

Roberto Rodríguez is a scholar working on Computer Vision and Pattern Recognition, Ecology and Artificial Intelligence. According to data from OpenAlex, Roberto Rodríguez has authored 34 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Ecology and 8 papers in Artificial Intelligence. Recurrent topics in Roberto Rodríguez's work include Medical Image Segmentation Techniques (9 papers), Remote Sensing in Agriculture (4 papers) and Smart Agriculture and AI (4 papers). Roberto Rodríguez is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Remote Sensing in Agriculture (4 papers) and Smart Agriculture and AI (4 papers). Roberto Rodríguez collaborates with scholars based in United States, Cuba and Mexico. Roberto Rodríguez's co-authors include R. Biscay, M.C. Pérez-Abalo, Lı́dice Galán, Teresa E. Alarcón, James J. Leary, Daniel M. Jenkins, Tianyi Wang, Ulisses Braga-Neto, Stephen W. Searcy and Juan Enciso and has published in prestigious journals such as SHILAP Revista de lepidopterología, Electroencephalography and Clinical Neurophysiology and Remote Sensing.

In The Last Decade

Roberto Rodríguez

33 papers receiving 289 citations

Peers

Roberto Rodríguez
Chandan Jyoti Kumar India
Maurice Abou Jaoude United States
Abdelhamid Abdesselam Oman
Reggio N. Hartono Indonesia
Liang Dong China
Rijad Sarić Bosnia and Herzegovina
Carlos Crispim-Junior France
Muhammad Asad United Kingdom
Chandan Jyoti Kumar India
Roberto Rodríguez
Citations per year, relative to Roberto Rodríguez Roberto Rodríguez (= 1×) peers Chandan Jyoti Kumar

Countries citing papers authored by Roberto Rodríguez

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Rodríguez

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Rodríguez. A scholar is included among the top collaborators of Roberto Rodríguez 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 Roberto Rodríguez. Roberto Rodríguez 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.
Domagalski, Marcin J., Lu Yin, Alexander Pilozzi, et al.. (2025). Preparing clinical research data for artificial intelligence readiness: insights from the National Institute of Diabetes and Digestive and Kidney Diseases data centric challenge. Journal of the American Medical Informatics Association. 32(10). 1609–1616. 1 indexed citations
2.
Rodríguez, Roberto, Daniel M. Jenkins, James J. Leary, & Ryan L. Perroy. (2024). A direct geolocation method for aerial imaging surveys of invasive plants. International Journal of Environmental Science and Technology. 21(13). 8375–8390. 2 indexed citations
3.
Thomasson, J. Alex, Robert G. Hardin, Stephen W. Searcy, et al.. (2024). AI-Driven Computer Vision Detection of Cotton in Corn Fields Using UAS Remote Sensing Data and Spot-Spray Application. Remote Sensing. 16(15). 2754–2754. 1 indexed citations
4.
Thomasson, J. Alex, Robert G. Hardin, Stephen W. Searcy, et al.. (2023). Plastic Contaminant Detection in Aerial Imagery of Cotton Fields Using Deep Learning. Agriculture. 13(7). 1365–1365. 4 indexed citations
5.
Rodríguez, Roberto. (2023). Measuring the Adoption of Drones: A Case Study of the United States Agricultural Aircraft Sector. SHILAP Revista de lepidopterología. 4(1). 977–983. 3 indexed citations
6.
Thomasson, J. Alex, Robert G. Hardin, Stephen W. Searcy, et al.. (2022). Volunteer cotton plant detection in corn field with deep learning. 4 indexed citations
7.
Martin, Daniel E., et al.. (2022). Insecticidal Management of Rangeland Grasshoppers Using a Remotely Piloted Aerial Application System. Drones. 6(9). 239–239. 3 indexed citations
8.
Rodríguez, Roberto, et al.. (2021). SARS-CoV-2: enhancement and segmentation of high-resolution microscopy images—Part I. Signal Image and Video Processing. 15(8). 1713–1721. 2 indexed citations
9.
Resik, Sonia, et al.. (2021). SARS-CoV-2: preliminary study of infected human nasopharyngeal tissue by high resolution microscopy. Virology Journal. 18(1). 149–149. 10 indexed citations
10.
Conway, Hugh, et al.. (2021). The Use of Multiple Unmanned Aircraft Systems as a Swarm to Release Sterile Mexican Fruit Fly (Diptera: Tephritidae) Into South Texas Citrus Groves. Journal of Economic Entomology. 114(5). 1857–1866. 3 indexed citations
11.
12.
Rodríguez, Roberto, et al.. (2016). Herbicide Ballistic Technology: Spatial Tracking Analysis of Operations Characterizing Performance of Target Treatment. Transactions of the ASABE. 59(3). 803–809. 3 indexed citations
13.
Rojas, Fernando, et al.. (2012). A wavelet decomposition level selection method for velocity computation in noisy EOG records of ataxia patients. International Journal of Psychophysiology. 85(3). 424–424.
14.
Tappert, Charles C., et al.. (2011). A Character Recognition Study Using a Biologically Plausible Neural Network of the Mammalian Visual System. 2 indexed citations
15.
Rodríguez, Roberto, et al.. (2006). A new algorithm for image segmentation by using iteratively the mean shift filtering. Scientific Research and Essays. 1(2). 43–49. 8 indexed citations
16.
Rodríguez, Roberto, et al.. (2006). Two Robust Techniques for Segmentation of Biomedical Images. 9(4). 355–369. 5 indexed citations
17.
Rodríguez, Roberto, et al.. (2005). A new strategy to obtain robust markers for blood vessels segmentation by using the watersheds method. Computers in Biology and Medicine. 35(8). 665–686. 25 indexed citations
18.
Rodríguez, Roberto, et al.. (2002). Color Segmentation Applied to Study of the Angiogenesis. Part I. Journal of Intelligent & Robotic Systems. 34(1). 83–97. 18 indexed citations
19.
Rodríguez, Roberto, et al.. (2001). Calorimetría diferencial de barrido y rayos-x del almidón obtenido por nixtamalización fraccionada. Superficies y Vacío. 13(13). 61–65. 3 indexed citations
20.
Galán, Lı́dice, et al.. (1997). Testing topographic differences between event related brain potentials by using non-parametric combinations of permutation tests. Electroencephalography and Clinical Neurophysiology. 102(3). 240–247. 89 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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