Negin Hayatbini

655 total citations
10 papers, 484 citations indexed

About

Negin Hayatbini is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Negin Hayatbini has authored 10 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 7 papers in Global and Planetary Change and 2 papers in Environmental Engineering. Recurrent topics in Negin Hayatbini's work include Meteorological Phenomena and Simulations (8 papers), Precipitation Measurement and Analysis (7 papers) and Climate variability and models (5 papers). Negin Hayatbini is often cited by papers focused on Meteorological Phenomena and Simulations (8 papers), Precipitation Measurement and Analysis (7 papers) and Climate variability and models (5 papers). Negin Hayatbini collaborates with scholars based in United States, Iran and Vietnam. Negin Hayatbini's co-authors include Soroosh Sorooshian, Phu Nguyen, Kuolin Hsu, E. J. Shearer, Dan Braithwaite, Mohammed Ombadi, Hoang Tran, Xiaogang Gao, Tiantian Yang and Graeme L. Stephens and has published in prestigious journals such as Journal of Hydrology, Monthly Weather Review and Information Sciences.

In The Last Decade

Negin Hayatbini

10 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Negin Hayatbini United States	8	302	296	117	103	29	10	484
Donglai Jiao China	9	278 0.9×	180 0.6×	94 0.8×	120 1.2×	15 0.5×	36	448
Sogol Moradian Ireland	14	347 1.1×	171 0.6×	70 0.6×	121 1.2×	23 0.8×	23	491
Minglei Ren China	10	297 1.0×	121 0.4×	151 1.3×	184 1.8×	46 1.6×	17	497
Lu Su United States	9	344 1.1×	190 0.6×	84 0.7×	214 2.1×	27 0.9×	20	484
Hoang Tran United States	11	351 1.2×	298 1.0×	168 1.4×	226 2.2×	26 0.9×	38	593
Munir Ahmad Nayak India	12	685 2.3×	292 1.0×	95 0.8×	198 1.9×	54 1.9×	24	824
Siyu Zhu China	15	384 1.3×	423 1.4×	216 1.8×	138 1.3×	30 1.0×	55	738
David F. Muñoz United States	13	365 1.2×	262 0.9×	77 0.7×	138 1.3×	25 0.9×	23	495
Yumeng Tao United States	12	253 0.8×	281 0.9×	144 1.2×	113 1.1×	24 0.8×	16	521
Bing-Chen Jhong Taiwan	11	234 0.8×	116 0.4×	172 1.5×	121 1.2×	23 0.8×	19	324

Countries citing papers authored by Negin Hayatbini

Since Specialization

Citations

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

Fields of papers citing papers by Negin Hayatbini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Negin Hayatbini

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

All Works

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10 of 10 papers shown

Monache, Luca Delle, et al.. (2023). Improving Precipitation Forecasts with Convolutional Neural Networks. Weather and Forecasting. 10 indexed citations

Chapman, William E., Luca Delle Monache, Stefano Alessandrini, et al.. (2021). Probabilistic Predictions from Deterministic Atmospheric River Forecasts with Deep Learning. Monthly Weather Review. 150(1). 215–234. 39 indexed citations

Sadeghi, Mojtaba, E. J. Shearer, Vesta Afzali Gorooh, et al.. (2021). Application of remote sensing precipitation data and the CONNECT algorithm to investigate spatiotemporal variations of heavy precipitation: Case study of major floods across Iran (Spring 2019). Journal of Hydrology. 600. 126569–126569. 20 indexed citations

Sadeghi, Mojtaba, Negin Hayatbini, Vesta Afzali Gorooh, et al.. (2020). Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset. Remote Sensing. 12(10). 1584–1584. 28 indexed citations

Hayatbini, Negin, et al.. (2019). A Deep Learning Framework for Precipitation Estimation from GOES-16 multispectral satellite imagery - Application of the conditional Generative Adversarial Networks (cGANs). AGU Fall Meeting Abstracts. 2019. 2 indexed citations

Nguyen, Phu, E. J. Shearer, Hoang Tran, et al.. (2019). The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data. Scientific Data. 6(1). 180296–180296. 232 indexed citations

Hayatbini, Negin, Kuolin Hsu, Phu Nguyen, et al.. (2019). Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries—PERSIANN-cGAN. Remote Sensing. 11(19). 2193–2193. 57 indexed citations

Hayatbini, Negin, Kuolin Hsu, Soroosh Sorooshian, Yunji Zhang, & Fuqing Zhang. (2019). Effective Cloud Detection and Segmentation Using a Gradient-Based Algorithm for Satellite Imagery: Application to Improve PERSIANN-CCS. Journal of Hydrometeorology. 20(5). 901–913. 11 indexed citations

Nguyen, Phu, E. J. Shearer, Hien Tran, et al.. (2018). The CHRS Data Portal for Distributing PERSIANN Family Global Satellite Precipitation Data. AGUFM. 2018. 1 indexed citations

10.

Yang, Tiantian, et al.. (2017). An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis. Information Sciences. 418-419. 302–316. 84 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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