Vahid Karimi

1.0k total citations
21 papers, 808 citations indexed

About

Vahid Karimi is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Vahid Karimi has authored 21 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 10 papers in Global and Planetary Change and 8 papers in Water Science and Technology. Recurrent topics in Vahid Karimi's work include Hydrological Forecasting Using AI (10 papers), Hydrology and Watershed Management Studies (8 papers) and Flood Risk Assessment and Management (4 papers). Vahid Karimi is often cited by papers focused on Hydrological Forecasting Using AI (10 papers), Hydrology and Watershed Management Studies (8 papers) and Flood Risk Assessment and Management (4 papers). Vahid Karimi collaborates with scholars based in Iran, Türkiye and Vietnam. Vahid Karimi's co-authors include Mohammad Ali Ghorbani, Ravinesh C. Deo, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mohammad Ali Ghorbani, Mahsa Hasanpour Kashani, Rahman Khatibi, Chandrashekhar Meshram, Sarita Gajbhiye Meshram, Ali Danandeh Mehr and Vahid Nourani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Atmospheric Environment.

In The Last Decade

Vahid Karimi

20 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vahid Karimi Iran 13 514 317 266 142 102 21 808
Pouya Aghelpour Iran 16 478 0.9× 262 0.8× 439 1.7× 172 1.2× 97 1.0× 27 791
Roozbeh Moazenzadeh Iran 11 339 0.7× 248 0.8× 259 1.0× 95 0.7× 138 1.4× 15 707
Mahsa Hasanpour Kashani Iran 16 565 1.1× 371 1.2× 386 1.5× 135 1.0× 148 1.5× 30 989
Shuang Zhu China 18 457 0.9× 366 1.2× 471 1.8× 194 1.4× 80 0.8× 52 1.1k
Vijendra Kumar India 15 350 0.7× 319 1.0× 418 1.6× 77 0.5× 74 0.7× 43 885
Keivan Khalili Iran 15 390 0.8× 265 0.8× 582 2.2× 117 0.8× 147 1.4× 36 912
Muhammad Tayyab China 16 231 0.4× 257 0.8× 317 1.2× 108 0.8× 70 0.7× 61 751
Halit Apaydın Türkiye 16 537 1.0× 447 1.4× 511 1.9× 162 1.1× 148 1.5× 53 1.1k
Farshad Ahmadi Iran 19 506 1.0× 388 1.2× 649 2.4× 166 1.2× 110 1.1× 52 1.1k
Doudja Souag-Gamane Algeria 13 581 1.1× 451 1.4× 557 2.1× 168 1.2× 157 1.5× 17 1.0k

Countries citing papers authored by Vahid Karimi

Since Specialization
Citations

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

Fields of papers citing papers by Vahid Karimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vahid Karimi

This figure shows the co-authorship network connecting the top 25 collaborators of Vahid Karimi. A scholar is included among the top collaborators of Vahid Karimi 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 Vahid Karimi. Vahid Karimi 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.
Santos, Celso Augusto Guimarães, Debasmita Misra, Sophia Ghanimeh, et al.. (2025). Designing a deep learning-based framework for the prediction of lake surface closed curves. Earth Science Informatics. 18(3). 1 indexed citations
2.
Ghorbani, Mohammad Ali, et al.. (2023). Nonlinear and periodic dynamics of chaotic hydro-thermal process of Skokomish river. Stochastic Environmental Research and Risk Assessment. 37(7). 2739–2756. 4 indexed citations
3.
Ghorbani, Mohammad Ali, et al.. (2022). Temporal connections in reconstructed monthly rainfall time series in different rainfall regimes of Turkey. Arabian Journal of Geosciences. 15(10). 3 indexed citations
4.
Karimi, Vahid, et al.. (2020). Groundwater Potential Mapping using Index of Entropy and Naïve Bayes Models at Ardabil Plain. Journal of watershed management research. 11(22). 273–286. 3 indexed citations
5.
Malik, Anurag, Anil Kumar, Sungwon Kim, et al.. (2020). Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model. Engineering Applications of Computational Fluid Mechanics. 14(1). 323–338. 97 indexed citations
6.
Ghorbani, Mohammad Ali, et al.. (2020). Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia. Soft Computing. 24(16). 12079–12090. 53 indexed citations
7.
Rostami, Ali, Vahid Karimi, Rahman Khatibi, & Biswajeet Pradhan. (2020). An investigation into seasonal variations of groundwater nitrate by spatial modelling strategies at two levels by kriging and co-kriging models. Journal of Environmental Management. 270. 110843–110843. 29 indexed citations
8.
Karimi, Vahid, et al.. (2020). Strategies for Learning Groundwater Potential Modelling Indices under Sparse Data with Supervised and Unsupervised Techniques. Water Resources Management. 34(8). 2389–2417. 9 indexed citations
9.
10.
Meshram, Sarita Gajbhiye, Vijay P. Singh, Özgür Kişi, Vahid Karimi, & Chandrashekhar Meshram. (2020). Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction. Water Resources Management. 34(15). 4561–4575. 57 indexed citations
11.
Meshram, Sarita Gajbhiye, Mohammad Ali Ghorbani, Ravinesh C. Deo, et al.. (2019). New Approach for Sediment Yield Forecasting with a Two-Phase Feedforward Neuron Network-Particle Swarm Optimization Model Integrated with the Gravitational Search Algorithm. Water Resources Management. 33(7). 2335–2356. 40 indexed citations
12.
Mehr, Ali Danandeh, Vahid Nourani, Vahid Karimi, & Mohammad Ali Ghorbani. (2018). A hybrid support vector regression–firefly model for monthly rainfall forecasting. International Journal of Environmental Science and Technology. 16(1). 335–346. 95 indexed citations
13.
Ghorbani, Mohammad Ali, Ravinesh C. Deo, Vahid Karimi, Mahsa Hasanpour Kashani, & Shahryar Ghorbani. (2018). Design and implementation of a hybrid MLP-GSA model with multi-layer perceptron-gravitational search algorithm for monthly lake water level forecasting. Stochastic Environmental Research and Risk Assessment. 33(1). 125–147. 36 indexed citations
14.
Ghorbani, Mohammad Ali, Rahman Khatibi, Vahid Karimi, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, & Mohammad Zounemat‐Kermani. (2018). Learning from Multiple Models Using Artificial Intelligence to Improve Model Prediction Accuracies: Application to River Flows. Water Resources Management. 32(13). 4201–4215. 64 indexed citations
15.
Meshram, Sarita Gajbhiye, et al.. (2018). River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network. Soft Computing. 23(20). 10429–10438. 66 indexed citations
16.
Ghorbani, Mohammad Ali, Ravinesh C. Deo, Vahid Karimi, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, & Özlem Terzi. (2017). Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey. Stochastic Environmental Research and Risk Assessment. 32(6). 1683–1697. 110 indexed citations
17.
Arzani, Ahmad, et al.. (2014). Evaluation of Yield‐Based Drought Tolerance Indices for Screening Safflower Genotypes. Agronomy Journal. 106(4). 1219–1224. 68 indexed citations
18.
Karimi, Vahid, et al.. (2013). Sensitivity Analysis of the Effective Input Parameters upon the Ozone Concentration using Artificial Neural Networks. SHILAP Revista de lepidopterología. 6(1). 11–22.
19.
Khatibi, Rahman, et al.. (2012). Developing a predictive tropospheric ozone model for Tabriz. Atmospheric Environment. 68. 286–294. 10 indexed citations
20.
Abyaneh, Hamid Zare, et al.. (2011). COMPARISON OF PENMAN- MONTEITH FAO METHOD AND A CLASS PAN EVAPORATION WITH LYSIMETER MEASUREMENTS IN ESTIMATION OF RICE EVAPOTRANSPIRATION IN AMOL REGION. 71–83. 3 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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