Alireza Sharifi

3.8k total citations · 4 hit papers
74 papers, 2.6k citations indexed

About

Alireza Sharifi is a scholar working on Ecology, Media Technology and Global and Planetary Change. According to data from OpenAlex, Alireza Sharifi has authored 74 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Ecology, 21 papers in Media Technology and 21 papers in Global and Planetary Change. Recurrent topics in Alireza Sharifi's work include Remote Sensing in Agriculture (25 papers), Remote-Sensing Image Classification (19 papers) and Remote Sensing and LiDAR Applications (16 papers). Alireza Sharifi is often cited by papers focused on Remote Sensing in Agriculture (25 papers), Remote-Sensing Image Classification (19 papers) and Remote Sensing and LiDAR Applications (16 papers). Alireza Sharifi collaborates with scholars based in Iran, China and United States. Alireza Sharifi's co-authors include Aqil Tariq, Dariush Abbasi‐Moghadam, Shilan Felegari, Jalal Amini, Shujing Qin, Na Zhao, Qingting Li, Nizom Farmonov, Mohammad Esmaeili and László Mucsi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Sustainability.

In The Last Decade

Alireza Sharifi

71 papers receiving 2.5k citations

Hit Papers

align trajectories

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.

Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms

2023 106 citations Nizom Farmonov, Khilola Amankulova et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →
Assessment of Spatiotemporal Characteristic of Droughts Using In Situ and Remote Sensing-Based Drought Indices

2023 79 citations Alireza Sharifi, Dariush Abbasi‐Moghadam et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →
Enhancing the Spatial Resolution of Sentinel-2 Images Through Super-Resolution Using Transformer-Based Deep-Learning Models

2025 30 citations Alireza Sharifi et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →
Super-Resolution AI-Based Approach for Extracting Agricultural Cadastral Maps: Form and Content Validation

2025 27 citations Alireza Vafaeinejad, Alireza Sharifi et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alireza Sharifi Iran	36	946	836	665	614	575	74	2.6k
Mykola Lavreniuk Ukraine	20	1.6k 1.7×	946 1.1×	783 1.2×	566 0.9×	693 1.2×	69	3.0k
Quanlong Feng China	23	869 0.9×	693 0.8×	448 0.7×	349 0.6×	673 1.2×	53	2.0k
Aaron E. Maxwell United States	26	1.4k 1.5×	955 1.1×	706 1.1×	446 0.7×	864 1.5×	74	3.4k
Yuhong He Canada	29	1.7k 1.8×	849 1.0×	729 1.1×	521 0.8×	825 1.4×	116	3.2k
Amr Abd‐Elrahman United States	30	992 1.0×	798 1.0×	433 0.7×	231 0.4×	876 1.5×	84	2.4k
Bardan Ghimire United States	18	1.6k 1.7×	1.5k 1.8×	563 0.8×	669 1.1×	876 1.5×	24	3.3k
J.P. Rigol-Sánchez Spain	11	1.1k 1.2×	908 1.1×	480 0.7×	431 0.7×	820 1.4×	20	2.6k
Xin Du China	26	717 0.8×	566 0.7×	357 0.5×	464 0.8×	353 0.6×	121	2.0k
Jinfei Wang Canada	36	1.5k 1.5×	1.2k 1.5×	571 0.9×	1.1k 1.7×	1.9k 3.2×	218	4.8k
Ajay Mathur India	13	1.2k 1.2×	631 0.8×	1.0k 1.6×	642 1.0×	488 0.8×	26	2.6k

Countries citing papers authored by Alireza Sharifi

Since Specialization

Citations

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

Fields of papers citing papers by Alireza Sharifi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alireza Sharifi

This figure shows the co-authorship network connecting the top 25 collaborators of Alireza Sharifi. A scholar is included among the top collaborators of Alireza Sharifi 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 Alireza Sharifi. Alireza Sharifi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Abbasi‐Moghadam, Dariush, et al.. (2025). Attention-GANomaly: unsupervised hyperspectral anomaly detection via attention based GANs. Infrared Physics & Technology. 150. 106017–106017.

Abbasi‐Moghadam, Dariush, et al.. (2024). Capsular attention Conv-LSTM network (CACN): A deep learning structure for crop yield estimation based on multispectral imagery. European Journal of Agronomy. 161. 127369–127369. 10 indexed citations

Abbasi‐Moghadam, Dariush, et al.. (2024). DESSA-Net Model: Hyperspectral Image Classification Using an Entropy Filter With Spatial and Spectral Attention Modules on DeepNet. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 14588–14613. 8 indexed citations

Sharifi, Alireza, et al.. (2024). Ultrafusion: Optimal Fuzzy Fusion in Land-Cover Segmentation Using Multiple Panchromatic Satellite Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 5721–5733. 35 indexed citations

Ahmed, A. A. Masrur, Nadjem Bailek, Laith Abualigah, et al.. (2023). Global control of electrical supply: A variational mode decomposition-aided deep learning model for energy consumption prediction. Energy Reports. 10. 2152–2165. 14 indexed citations

Felegari, Shilan, et al.. (2023). Using Sentinel-2 data to estimate the concentration of heavy metals caused by industrial activities in Ust-Kamenogorsk, Northeastern Kazakhstan. Heliyon. 9(11). e21908–e21908. 14 indexed citations

Sharifi, Alireza, et al.. (2022). Assessment of forest cover changes using multi-temporal Landsat observation. Environment Development and Sustainability. 25(2). 1351–1360. 24 indexed citations

Sharifi, Alireza, et al.. (2022). Agro Climatic Zoning of Saffron Culture in Miyaneh City by Using WLC Method and Remote Sensing Data. Agriculture. 12(1). 118–118. 54 indexed citations

Abbasi‐Moghadam, Dariush, et al.. (2022). Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 254–266. 78 indexed citations

10.

Felegari, Shilan, Alireza Sharifi, Muhammad Amin, et al.. (2021). Integration of Sentinel 1 and Sentinel 2 Satellite Images for Crop Mapping. Applied Sciences. 11(21). 10104–10104. 51 indexed citations

11.

Sharifi, Alireza, et al.. (2021). Evaluation of Vegetation Indices and Phenological Metrics Using Time-Series MODIS Data for Monitoring Vegetation Change in Punjab, Pakistan. Water. 13(18). 2550–2550. 57 indexed citations

12.

Panahi, Mahdi, Peyman Yariyan, Fatemeh Rezaie, et al.. (2021). Spatial modeling of radon potential mapping using deep learning algorithms. Geocarto International. 37(25). 9560–9582. 24 indexed citations

13.

Tariq, Aqil, Hong Shu, Saima Siddiqui, et al.. (2021). Spatio-temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio-economic and environmental variable data with machine learning methods. Journal of Forestry Research. 33(1). 183–194. 82 indexed citations

14.

Sharifi, Alireza, et al.. (2021). A fast radiometric correction method for Sentinel-2 satellite images. Aircraft Engineering and Aerospace Technology. 93(10). 1709–1714. 1 indexed citations

15.

Kosari, Amirreza, et al.. (2020). Remote sensing satellite’s attitude control system: rapid performance sizing for passive scan imaging mode. Aircraft Engineering and Aerospace Technology. 92(7). 1073–1083. 45 indexed citations

16.

Sharifi, Alireza. (2020). Yield prediction with machine learning algorithms and satellite images. Journal of the Science of Food and Agriculture. 101(3). 891–896. 103 indexed citations

17.

Sharifi, Alireza. (2020). Flood Mapping Using Relevance Vector Machine and SAR Data: A Case Study from Aqqala, Iran. Journal of the Indian Society of Remote Sensing. 48(9). 1289–1296. 53 indexed citations

18.

Sharifi, Alireza, et al.. (2016). Development of an allometric model to estimate above-ground biomass of forests using MLPNN algorithm, case study: Hyrcanian forests of Iran. SHILAP Revista de lepidopterología. 8 indexed citations

19.

Khavanin, Ali, et al.. (2015). Assessment of Metro Passengers’ Convenience While Sitting and Standing in Confrontation with Whole-Body Vibration. SHILAP Revista de lepidopterología.

20.

Kiamehr, R., et al.. (2012). The Evaluation of Sea Surface Topography Models based on the Combination of the Satellite altimetry and the Global Geoid Models in the Persian Gulf. International Journal of Environmental Research. 6(3). 645–652. 4 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