M. Isabel P. de Lima

2.6k total citations
55 papers, 1.2k citations indexed

About

M. Isabel P. de Lima is a scholar working on Ecology, Global and Planetary Change and Soil Science. According to data from OpenAlex, M. Isabel P. de Lima has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ecology, 21 papers in Global and Planetary Change and 19 papers in Soil Science. Recurrent topics in M. Isabel P. de Lima's work include Hydrology and Sediment Transport Processes (18 papers), Soil erosion and sediment transport (16 papers) and Climate variability and models (13 papers). M. Isabel P. de Lima is often cited by papers focused on Hydrology and Sediment Transport Processes (18 papers), Soil erosion and sediment transport (16 papers) and Climate variability and models (13 papers). M. Isabel P. de Lima collaborates with scholars based in Portugal, United States and Spain. M. Isabel P. de Lima's co-authors include João L. M. P. de Lima, Fátima Espírito Santo, Alexandre M. Ramos, J. Grasman, Ricardo M. Trigo, S. C. P. Carvalho, Vijay P. Singh, Vijay P. Singh, Zhiqiang Deng and Vijay P. Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Geophysical Research Letters.

In The Last Decade

M. Isabel P. de Lima

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Isabel P. de Lima Portugal 20 584 320 297 288 267 55 1.2k
Dongdong Qiu China 19 442 0.8× 232 0.7× 201 0.7× 208 0.7× 101 0.4× 58 1.1k
Ate Poortinga United States 20 756 1.3× 468 1.5× 246 0.8× 249 0.9× 216 0.8× 43 1.4k
Christopher J. Martinez United States 24 700 1.2× 252 0.8× 406 1.4× 271 0.9× 127 0.5× 66 1.5k
Jun Zhao China 22 368 0.6× 501 1.6× 276 0.9× 146 0.5× 544 2.0× 98 1.5k
Osvaldo L. L. Moraes Brazil 25 1.2k 2.1× 284 0.9× 330 1.1× 594 2.1× 191 0.7× 73 1.8k
C.G. Wesseling Netherlands 6 374 0.6× 392 1.2× 592 2.0× 127 0.4× 519 1.9× 7 1.2k
Tianjie Lei China 21 1.1k 1.9× 289 0.9× 346 1.2× 302 1.0× 126 0.5× 59 1.6k
P. La Barbera Italy 19 602 1.0× 219 0.7× 563 1.9× 293 1.0× 155 0.6× 44 1.4k
Vito Iacobellis Italy 25 1.1k 1.9× 236 0.7× 945 3.2× 271 0.9× 183 0.7× 89 1.8k
Saleh Yousefi Iran 20 707 1.2× 335 1.0× 292 1.0× 139 0.5× 351 1.3× 35 1.2k

Countries citing papers authored by M. Isabel P. de Lima

Since Specialization
Citations

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

Fields of papers citing papers by M. Isabel P. de Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Isabel P. de Lima. 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 M. Isabel P. de Lima. The network helps show where M. Isabel P. de Lima may publish in the future.

Co-authorship network of co-authors of M. Isabel P. de Lima

This figure shows the co-authorship network connecting the top 25 collaborators of M. Isabel P. de Lima. A scholar is included among the top collaborators of M. Isabel P. de Lima 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 M. Isabel P. de Lima. M. Isabel P. de Lima 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.
Lima, M. Isabel P. de, et al.. (2025). Geospatial analysis of soil salinity dynamics: Exploring topographic and vegetation influences in coastal Bangladesh. Geosystems and Geoenvironment. 4(3). 100418–100418. 1 indexed citations
2.
Lima, M. Isabel P. de, et al.. (2024). Evaluating Seasonal Dynamics of Water Quality and Embankment Soil along the Gorai River in Kushtia, Bangladesh. Journal of Geography Environment and Earth Science International. 28(10). 159–180. 1 indexed citations
3.
Lima, M. Isabel P. de, et al.. (2023). Comparing the Capability of Sentinel-2 and Landsat 9 Imagery for Mapping Water and Sandbars in the River Bed of the Lower Tagus River (Portugal). Remote Sensing. 15(7). 1927–1927. 8 indexed citations
4.
5.
Lima, João L. M. P. de, et al.. (2023). Brightness of point application of fluorescent quinine tracer for surface waters. Engenharia Sanitaria e Ambiental. 28. 2 indexed citations
6.
Lima, M. Isabel P. de, et al.. (2023). Applying RGB-Based Vegetation Indices Obtained from UAS Imagery for Monitoring the Rice Crop at the Field Scale: A Case Study in Portugal. Agriculture. 13(10). 1916–1916. 3 indexed citations
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Lima, M. Isabel P. de, et al.. (2021). Remote Sensing Monitoring of Rice Fields: Towards Assessing Water Saving Irrigation Management Practices. SHILAP Revista de lepidopterología. 2. 23 indexed citations
10.
Manfreda, Salvatore, Helge Aasen, M. R. James, et al.. (2020). Current Practices in UAS-based Environmental Monitoring. Remote Sensing. 12(6). 1001–1001. 169 indexed citations
11.
Masseroni, Daniele, Sandra Ricart, José Manuel Gonçalves, et al.. (2017). Prospects for Improving Gravity-Fed Surface Irrigation Systems in Mediterranean European Contexts. Water. 9(1). 20–20. 44 indexed citations
12.
Carvalho, S. C. P., João L. M. P. de Lima, & M. Isabel P. de Lima. (2016). Rainwater sequential sampler: assessing intra-event water composition variability. 1(1). 4 indexed citations
13.
Santo, Fátima Espírito, et al.. (2014). Spatio-temporal variability of dry and wet periods in mainland Portugal and its relationships with teleconnection patterns. EGUGA. 16446. 1 indexed citations
14.
Osawa, E, Jean‐Louis Vincent, Juliano Pinheiro de Almeida, et al.. (2013). Goal-directed resuscitation therapy in high-risk patients undergoing cardiac surgery (GRICS study): a randomized controlled trial - preliminary results. Critical Care. 17(S2).
15.
Santo, Fátima Espírito, M. Isabel P. de Lima, Alexandre M. Ramos, & Ricardo M. Trigo. (2013). Trends in seasonal surface air temperature in mainland Portugal, since 1941. International Journal of Climatology. 34(6). 1814–1837. 53 indexed citations
16.
Lima, M. Isabel P. de, S. C. P. Carvalho, & João L. M. P. de Lima. (2010). Investigating annual and monthly trends in precipitation structure: an overview across Portugal. Natural hazards and earth system sciences. 10(11). 2429–2440. 31 indexed citations
17.
Lima, João L. M. P. de, et al.. (2009). Study of heavy metals transport by runoff and sediments from an abandoned mine: Alagoa, Portugal. EGUGA. 354. 1 indexed citations
18.
Lima, M. Isabel P. de & João L. M. P. de Lima. (2009). Investigating the multifractality of point precipitation in the Madeira archipelago. Nonlinear processes in geophysics. 16(2). 299–311. 43 indexed citations
19.
Lima, M. Isabel P. de, Ana C. Marques, João L. M. P. de Lima, & M. F. E. S. Coelho. (2007). Precipitation trends in mainland Portugal in the period 1941-2000.. IAHS-AISH publication. 94–102. 12 indexed citations
20.
Lima, João L. M. P. de, et al.. (2006). Estudo Laboratorial do Deslocamento de Sementes de Pinus pinea, Pinus pinaster e Grevillea sp. sob Acção de Chuva Simulada. 14(2). 219–226. 1 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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