Daniel Jiménez

1.0k total citations · 1 hit paper
25 papers, 567 citations indexed

About

Daniel Jiménez is a scholar working on Artificial Intelligence, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Jiménez has authored 25 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Plant Science and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Jiménez's work include Service-Oriented Architecture and Web Services (3 papers), Advanced Software Engineering Methodologies (3 papers) and Smart Agriculture and AI (3 papers). Daniel Jiménez is often cited by papers focused on Service-Oriented Architecture and Web Services (3 papers), Advanced Software Engineering Methodologies (3 papers) and Smart Agriculture and AI (3 papers). Daniel Jiménez collaborates with scholars based in Colombia, United States and Spain. Daniel Jiménez's co-authors include Thayer Patterson, Victor Galaz, Darryl Farber, Amar Causevic, Karen Levy, Andy Jarvis, Timon McPhearson, Seth D. Baum, Miguel Ángel Centeno and Joern Fischer and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniel Jiménez

22 papers receiving 536 citations

Hit Papers

Artificial intelligence, systemic risks, and sustainability 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Artificial intelligence, systemic risks, and sustainability
    2021 221 citations Victor Galaz, Miguel Ángel Centeno et al. Technology in Society profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Jiménez Colombia 10 135 90 67 43 43 25 567
Xavier Rubio‐Campillo Spain 15 100 0.7× 112 1.2× 34 0.5× 62 1.4× 23 0.5× 58 978
Florence Le Ber France 13 52 0.4× 66 0.7× 48 0.7× 47 1.1× 22 0.5× 64 469
Muthoni Masinde South Africa 14 56 0.4× 51 0.6× 74 1.1× 63 1.5× 24 0.6× 69 642
Alexander B. Sideridis Greece 16 198 1.5× 75 0.8× 19 0.3× 110 2.6× 38 0.9× 58 798
Asaf Tzachor United Kingdom 18 93 0.7× 57 0.6× 24 0.4× 38 0.9× 28 0.7× 47 951
Petraq Papajorgji United States 9 124 0.9× 89 1.0× 19 0.3× 62 1.4× 14 0.3× 39 492
Ranjan Ghosh India 16 81 0.6× 98 1.1× 18 0.3× 29 0.7× 47 1.1× 102 828
Caroline Parker United Kingdom 7 137 1.0× 19 0.2× 46 0.7× 35 0.8× 131 3.0× 11 521
Sjoukje Osinga Netherlands 8 411 3.0× 55 0.6× 77 1.1× 43 1.0× 30 0.7× 19 908
Rajni Jain India 16 336 2.5× 64 0.7× 30 0.4× 42 1.0× 119 2.8× 71 738

Countries citing papers authored by Daniel Jiménez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Jiménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Jiménez

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Jiménez. A scholar is included among the top collaborators of Daniel Jiménez 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 Daniel Jiménez. Daniel Jiménez 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
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2.
Szabo, Judit K., Arnildo Pott, Geraldo Alves Damasceno‐Júnior, et al.. (2024). Fire-sensitive and threatened plants in the Upper Paraguay River Basin, Brazil: Identifying priority areas for Integrated Fire Management and ecological restoration. Ecological Engineering. 209. 107411–107411.
3.
Cock, James H., et al.. (2023). Operations research and machine learning to manage risk and optimize production practices in agriculture: good and bad experience. Current Opinion in Environmental Sustainability. 62. 101278–101278. 8 indexed citations
4.
Gaona, Rómulo Campos, et al.. (2023). Effect of climate on thermal response in cows of different racial groups in lower tropic. SHILAP Revista de lepidopterología. 28(3). e2921–e2921.
5.
Trevisan, Rodrigo, et al.. (2022). Multiyear Maize Management Dataset collected in Chiapas, Mexico. Data in Brief. 40. 107837–107837. 5 indexed citations
6.
Abera, Wuletawu, Lulseged Tamene, Kindie Tesfaye, et al.. (2022). A data-mining approach for developing site-specific fertilizer response functions across the wheat-growing environments in Ethiopia. Experimental Agriculture. 58. 9 indexed citations
7.
King, Brian, Medha Devare, Davíd Güereña, et al.. (2021). Toward a Digital One CGIAR: Strategic Research on Digital Transformation in Food, Land, and Water Systems in a Climate Crisis.. IFPRI E-brary (International Food Policy Research Institute). 4 indexed citations
8.
Galaz, Victor, Miguel Ángel Centeno, Amar Causevic, et al.. (2021). Artificial intelligence, systemic risks, and sustainability. Technology in Society. 67. 101741–101741. 221 indexed citations breakdown →
9.
Cobos, Carlos, et al.. (2019). Wrapper for Building Classification Models Using Covering Arrays. IEEE Access. 7. 148297–148312. 6 indexed citations
10.
Mehrabi, Zia, Daniel Jiménez, & Andy Jarvis. (2018). Smallholders need access to big-data agronomy too. Nature. 555(7694). 30–30. 6 indexed citations
11.
Jiménez, Daniel, et al.. (2016). From Observation to Information: Data-Driven Understanding of on Farm Yield Variation. PLoS ONE. 11(3). e0150015–e0150015. 31 indexed citations
12.
Prager, Steven D., et al.. (2016). Assessing Weather-Yield Relationships in Rice at Local Scale Using Data Mining Approaches. PLoS ONE. 11(8). e0161620–e0161620. 61 indexed citations
13.
Jiménez, Daniel, James H. Cock, Andy Jarvis, et al.. (2010). Interpretation of commercial production information: A case study of lulo (Solanum quitoense), an under-researched Andean fruit. Agricultural Systems. 104(3). 258–270. 13 indexed citations
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Amor, Mercedes, Lidia Fuentes, Daniel Jiménez, & Mónica Pinto. (2007). Adaptive Collaborative Virtual Environments: A Component and Aspect-based Approach. INTELIGENCIA ARTIFICIAL. 8(24). 1 indexed citations
16.
Aguilar, Xavier, et al.. (2007). Drug Design on the Cell BroadBand Engine. 425–425. 3 indexed citations
17.
Fuentes, Lidia, Daniel Jiménez, & Mónica Pinto. (2006). Development of Ambient Intelligence Applications using Components and Aspects. Zenodo (CERN European Organization for Nuclear Research). 13 indexed citations
18.
Scheldeman, Xavier, Louise Willemen, Géo Coppens D'Eeckenbrugge, et al.. (2006). Distribution, diversity and environmental adaptation of highland papayas (Vasconcellea spp.) in tropical and subtropical America. Biodiversity and Conservation. 16(6). 1867–1884. 43 indexed citations
19.
Jiménez, Daniel, et al.. (2004). Sistemas agroforestales :una experiencia participativa con productores de caña panelera.. 1 indexed citations
20.
Jiménez, Daniel. (2002). Dynamically weighted ensemble neural networks for classification. 1. 753–756. 77 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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