Diego Gómez

750 total citations
25 papers, 556 citations indexed

About

Diego Gómez is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Diego Gómez has authored 25 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 4 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Ecological Modeling. Recurrent topics in Diego Gómez's work include Remote Sensing in Agriculture (7 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Species Distribution and Climate Change (4 papers). Diego Gómez is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Species Distribution and Climate Change (4 papers). Diego Gómez collaborates with scholars based in Spain, Colombia and Peru. Diego Gómez's co-authors include Pablo Salvador, J. Sanz, José Luis Casanova Roque, C. Casanova, Carlos Casanova, Carmen Valiente, J. Ignacio Hidalgo, Carlos Casanova, Óscar Garnica and José Manuel Ruiz‐Giardín and has published in prestigious journals such as Environmental Pollution, Energy Conversion and Management and The Astrophysical Journal Supplement Series.

In The Last Decade

Diego Gómez

24 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Gómez Spain 13 202 182 101 77 68 25 556
Pablo Salvador Spain 12 204 1.0× 182 1.0× 103 1.0× 77 1.0× 83 1.2× 26 528
Bester Tawona Mudereri Kenya 14 192 1.0× 172 0.9× 70 0.7× 96 1.2× 128 1.9× 43 575
Taisuke Yasuda Japan 13 379 1.9× 160 0.9× 123 1.2× 70 0.9× 183 2.7× 31 734
George Chirima South Africa 14 254 1.3× 136 0.7× 89 0.9× 31 0.4× 106 1.6× 63 528
Seiichi Sakanoue Japan 10 188 0.9× 117 0.6× 83 0.8× 31 0.4× 47 0.7× 31 433
Evandro José Linhares Ferreira Brazil 10 149 0.7× 127 0.7× 124 1.2× 85 1.1× 84 1.2× 39 423
Joel Segarra Spain 7 303 1.5× 229 1.3× 135 1.3× 22 0.3× 122 1.8× 20 502
Ermes Movedi Italy 14 146 0.7× 242 1.3× 74 0.7× 118 1.5× 123 1.8× 31 478
Renhai Zhong China 11 339 1.7× 297 1.6× 106 1.0× 75 1.0× 105 1.5× 16 588
Mitsunori Yoshimura Japan 8 141 0.7× 127 0.7× 50 0.5× 136 1.8× 236 3.5× 27 570

Countries citing papers authored by Diego Gómez

Since Specialization
Citations

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

Fields of papers citing papers by Diego Gómez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Gómez

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Gómez. A scholar is included among the top collaborators of Diego Gómez 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 Diego Gómez. Diego Gómez 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.
Lapuerta, Magı́n, et al.. (2025). Technical feasibility analysis of carbon nanotubes in diesel engines: Effects on stability, combustion properties and emissions. Energy Conversion and Management. 326. 119450–119450. 6 indexed citations
3.
Gómez, Diego, Pablo Salvador, J. Sanz, & José Luis Casanova Roque. (2021). A new approach to monitor water quality in the Menor sea (Spain) using satellite data and machine learning methods. Environmental Pollution. 286. 117489–117489. 65 indexed citations
5.
Gómez, Diego, et al.. (2021). Regional estimation of garlic yield using crop, satellite and climate data in Mexico. Computers and Electronics in Agriculture. 181. 105943–105943. 12 indexed citations
6.
Gómez, Diego, Pablo Salvador, J. Sanz, & José Luis Casanova Roque. (2021). Modelling wheat yield with antecedent information, satellite and climate data using machine learning methods in Mexico. Agricultural and Forest Meteorology. 300. 108317–108317. 74 indexed citations
7.
Gómez, Diego, Pablo Salvador, J. Sanz, & José Luis Casanova Roque. (2021). New spectral indicator Potato Productivity Index based on Sentinel-2 data to improve potato yield prediction: a machine learning approach. International Journal of Remote Sensing. 42(9). 3426–3444. 22 indexed citations
8.
Gómez, Catalina, John F. Suárez-Pérez, Diego Gómez, et al.. (2020). MANTRA: A Machine-learning Reference Light-curve Data Set for Astronomical Transient Event Recognition. The Astrophysical Journal Supplement Series. 250(1). 11–11. 9 indexed citations
9.
Salvador, Pablo, et al.. (2020). An Empirical Radiometric Intercomparison Methodology Based on Global Simultaneous Nadir Overpasses Applied to Landsat 8 and Sentinel-2. Remote Sensing. 12(17). 2736–2736. 6 indexed citations
10.
Gómez, Diego, Pablo Salvador, J. Sanz, Mikhail Urbazaev, & José Luis Casanova Roque. (2020). Analyzing ice dynamics using Sentinel-1 data at the Solheimajoküll Glacier, Iceland. GIScience & Remote Sensing. 57(6). 813–829. 8 indexed citations
11.
Salvador, Pablo, Diego Gómez, J. Sanz, & José Luis Casanova Roque. (2020). Estimation of Potato Yield Using Satellite Data at a Municipal Level: A Machine Learning Approach. ISPRS International Journal of Geo-Information. 9(6). 343–343. 29 indexed citations
12.
Gómez, Diego, Pablo Salvador, J. Sanz, & José Luis Casanova Roque. (2020). Modelling desert locust presences using 32-year soil moisture data on a large-scale. Ecological Indicators. 117. 106655–106655. 23 indexed citations
14.
Gómez, Diego, et al.. (2019). Desert locust detection using Earth observation satellite data in Mauritania. Journal of Arid Environments. 164. 29–37. 40 indexed citations
15.
Gómez, Diego, Pablo Salvador, J. Sanz, & José Luis Casanova Roque. (2019). Potato Yield Prediction Using Machine Learning Techniques and Sentinel 2 Data. Remote Sensing. 11(15). 1745–1745. 132 indexed citations
16.
Gómez, Diego, et al.. (2018). Gesto técnico del pateo a balón detenido en fútbol: estudio de caso, un análisis comparativo en 3d. 7(2). 15–35. 1 indexed citations
17.
Gómez, Diego, Pablo Salvador, J. Sanz, Carlos Casanova, & José Luis Casanova Roque. (2018). Detecting Areas Vulnerable to Sand Encroachment Using Remote Sensing and GIS Techniques in Nouakchott, Mauritania. Remote Sensing. 10(10). 1541–1541. 16 indexed citations
18.
Gómez, Diego, et al.. (2018). Machine learning approach to locate desert locust breeding areas based on ESA CCI soil moisture. Journal of Applied Remote Sensing. 12(3). 1–1. 36 indexed citations
19.
Blanco, Matı́as, et al.. (2013). Influence of the alignment degree of CVD-grown carbon nanotubes on their functionalization and adsorption capacity. Diamond and Related Materials. 37. 1–7. 5 indexed citations
20.
Valiente, Carmen, et al.. (2012). Metacognitive beliefs and psychological well-being in paranoia and depression. Cognitive Neuropsychiatry. 17(6). 527–543. 21 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026