Mohammad Hossein Rohban

3.6k total citations · 2 hit papers
56 papers, 1.4k citations indexed

About

Mohammad Hossein Rohban is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Mohammad Hossein Rohban has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Analytical Chemistry. Recurrent topics in Mohammad Hossein Rohban's work include Spectroscopy and Chemometric Analyses (12 papers), Smart Agriculture and AI (7 papers) and Anomaly Detection Techniques and Applications (7 papers). Mohammad Hossein Rohban is often cited by papers focused on Spectroscopy and Chemometric Analyses (12 papers), Smart Agriculture and AI (7 papers) and Anomaly Detection Techniques and Applications (7 papers). Mohammad Hossein Rohban collaborates with scholars based in Iran, United States and Spain. Mohammad Hossein Rohban's co-authors include Shantanu Singh, Anne E. Carpenter, Hossein Mohammad‐Rahimi, Kyle W. Karhohs, Saeed Reza Motamedian, Marzieh Haghighi, Beth A. Cimini, Minh Doan, Tim Becker and Claire McQuin and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Methods.

In The Last Decade

Mohammad Hossein Rohban

52 papers receiving 1.4k 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.

Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl

2019 463 citations Mohammad Hossein Rohban, Shantanu Singh et al. profile →
Deep learning for caries detection: A systematic review

2022 161 citations Hossein Mohammad‐Rahimi, Saeed Reza Motamedian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad Hossein Rohban Iran	15	424	336	324	282	274	56	1.4k
Dev Kumar Das India	18	190 0.4×	314 0.9×	521 1.6×	53 0.2×	23 0.1×	30	914
Benzheng Wei China	17	47 0.1×	853 2.5×	727 2.2×	173 0.6×	27 0.1×	74	1.9k
Mei Zhou China	17	297 0.7×	266 0.8×	449 1.4×	43 0.2×	4 0.0×	68	1.1k
Cecilia Di Ruberto Italy	18	263 0.6×	415 1.2×	945 2.9×	88 0.3×	3 0.0×	65	1.3k
Jitendra Virmani India	21	128 0.3×	711 2.1×	577 1.8×	62 0.2×	4 0.0×	54	1.2k
Randy H. Moss United States	29	397 0.9×	1.6k 4.6×	505 1.6×	109 0.4×	4 0.0×	77	3.0k
Paolo Cazzaniga Italy	19	38 0.1×	457 1.4×	247 0.8×	501 1.8×	12 0.0×	85	1.4k
Haoyuan Chen China	14	60 0.1×	506 1.5×	253 0.8×	37 0.1×	13 0.0×	25	813
Xiaohong Jia China	16	30 0.1×	318 0.9×	615 1.9×	317 1.1×	8 0.0×	39	1.8k
H.S. Bhadauria India	18	95 0.2×	351 1.0×	525 1.6×	17 0.1×	45 0.2×	62	920

Countries citing papers authored by Mohammad Hossein Rohban

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Hossein Rohban

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Hossein Rohban. 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 Mohammad Hossein Rohban. The network helps show where Mohammad Hossein Rohban may publish in the future.

Co-authorship network of co-authors of Mohammad Hossein Rohban

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

All Works

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20 of 20 papers shown

Rohban, Mohammad Hossein, et al.. (2025). Mitigating Entrepreneurship Policy Challenges in Developing Countries’ Startup Ecosystems Through Machine Learning Analysis. Economies. 13(10). 295–295.

Pourdarbani, Razieh, et al.. (2025). Modeling Global Warming from Agricultural CO2 Emissions: From Worldwide Patterns to the Case of Iran. Modelling—International Open Access Journal of Modelling in Engineering Science. 6(4). 153–153.

Mohammad‐Rahimi, Hossein, Saeed Reza Motamedian, Reza Abbasi, et al.. (2024). A hierarchical deep learning approach for diagnosing impacted canine-induced root resorption via cone-beam computed tomography. BMC Oral Health. 24(1). 982–982. 2 indexed citations

Rohban, Mohammad Hossein, et al.. (2024). User Voices, Platform Choices: Social Media Policy Puzzle with Decentralization Salt. 1–10. 1 indexed citations

Rezanejad, K., et al.. (2024). Wave and Tidal Energy: A Patent Landscape Study. Journal of Marine Science and Engineering. 12(11). 1967–1967. 1 indexed citations

Tabibzadeh, Alireza, et al.. (2023). Forecasting influenza hemagglutinin mutations through the lens of anomaly detection. Scientific Reports. 13(1). 14944–14944. 4 indexed citations

Rohban, Mohammad Hossein, et al.. (2023). ZeroGrad: Costless conscious remedies for catastrophic overfitting in the FGSM adversarial training. Intelligent Systems with Applications. 19. 200258–200258. 2 indexed citations

Rohban, Mohammad Hossein, et al.. (2023). Lagrangian objective function leads to improved unforeseen attack generalization. Machine Learning. 112(8). 3003–3031. 2 indexed citations

Khosrojerdi, Arezou, Mohammad Lotfollahi, Mohammad GhasemiGol, et al.. (2023). Single-cell RNA sequencing uncovers heterogeneous transcriptional signatures in tumor-infiltrated dendritic cells in prostate cancer. Heliyon. 9(5). e15694–e15694. 6 indexed citations

10.

Sabzi, Sajad, et al.. (2023). Comparison of 2D and 3D convolutional neural networks in hyperspectral image analysis of fruits applied to orange bruise detection. Journal of Food Science. 88(12). 5149–5163. 16 indexed citations

11.

Pourdarbani, Razieh, et al.. (2023). From Harvest to Market: Non-Destructive Bruise Detection in Kiwifruit Using Convolutional Neural Networks and Hyperspectral Imaging. Horticulturae. 9(8). 936–936. 13 indexed citations

12.

Mohammad‐Rahimi, Hossein, et al.. (2022). Deep learning for the classification of cervical maturation degree and pubertal growth spurts: A pilot study. The Korean Journal of Orthodontics. 52(2). 112–122. 32 indexed citations

13.

Rohban, Mohammad Hossein, et al.. (2022). Image-based cell profiling enhancement via data cleaning methods. PLoS ONE. 17(5). e0267280–e0267280. 5 indexed citations

14.

Pourdarbani, Razieh, et al.. (2021). One-Dimensional Convolutional Neural Networks for Hyperspectral Analysis of Nitrogen in Plant Leaves. Applied Sciences. 11(24). 11853–11853. 12 indexed citations

15.

Sabzi, Sajad, Razieh Pourdarbani, Mohammad Hossein Rohban, et al.. (2021). Early Detection of Excess Nitrogen Consumption in Cucumber Plants Using Hyperspectral Imaging Based on Hybrid Neural Networks and the Imperialist Competitive Algorithm. Agronomy. 11(3). 575–575. 19 indexed citations

16.

Sabzi, Sajad, et al.. (2021). Classification of Cucumber Leaves Based on Nitrogen Content Using the Hyperspectral Imaging Technique and Majority Voting. Plants. 10(5). 898–898. 7 indexed citations

17.

Sabzi, Sajad, Razieh Pourdarbani, Mohammad Hossein Rohban, Ginés Garcı́a-Mateos, & Juan Ignacio Arribas. (2021). Estimation of nitrogen content in cucumber plant (Cucumis sativus L.) leaves using hyperspectral imaging data with neural network and partial least squares regressions. Chemometrics and Intelligent Laboratory Systems. 217. 104404–104404. 35 indexed citations

18.

Rohban, Mohammad Hossein, Hamdah Shafqat Abbasi, Shantanu Singh, & Anne E. Carpenter. (2019). Capturing single-cell heterogeneity via data fusion improves image-based profiling. Nature Communications. 10(1). 26 indexed citations

19.

Rohban, Mohammad Hossein, Shantanu Singh, Xiaoyun Wu, et al.. (2017). Systematic morphological profiling of human gene and allele function via Cell Painting. eLife. 6. 97 indexed citations

20.

Ding, Weicong, Mohammad Hossein Rohban, Prakash Ishwar, & Venkatesh Saligrama. (2014). Efficient Distributed Topic Modeling with Provable Guarantees. International Conference on Artificial Intelligence and Statistics. 167–175. 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.

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