Mohammad Momeny

1.2k citations
20 papers · 876 · h-index 15

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Date Palm Research Studies
    • Leaf Properties and Growth Measurement

Papers in

    • Smart Agriculture and AI 7
    • Date Palm Research Studies 3
    • Postharvest Quality and Shelf Life Management 2
    • Spectroscopy and Chemometric Analyses 7

Mohammad Momeny

19 papers receiving 851 citations

Peers

Mohammad Momeny
Comparison fields: 5 of 106
  • Analytical Chemistry 315
  • Plant Science 381
  • Media Technology 58
  • Computer Vision and Pattern Recognition 130
  • Food Science 109
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Momeny

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Momeny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Momeny, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Momeny Line = papers co-authored together Mohammad Momeny links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2020137
2 2019127
3 202079
4 202173
5 202166
6 202261
7 202256
8 202153
9 202151
10 202141
11 202133
12 202227
13 202320
14 202318
15 202217
16 20139
17 20214
18 20243
19 20211
20 20260

About Mohammad Momeny

Mohammad Momeny is a scholar working on Plant Science, Analytical Chemistry, Media Technology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 876 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (7 papers), Smart Agriculture and AI (7 papers), COVID-19 diagnosis using AI (5 papers), Image Processing Techniques and Applications (4 papers), Date Palm Research Studies (3 papers), Image and Signal Denoising Methods (3 papers), Postharvest Quality and Shelf Life Management (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Analytical Chemistry (315 citations), Plant Science (381 citations), Media Technology (58 citations), Computer Vision and Pattern Recognition (130 citations) and Food Science (109 citations). Mohammad Momeny has collaborated with scholars based in Iran, United States and United Kingdom. Frequent co-authors include Ahmad Jahanbakhshi, Yudong Zhang, Majid Mahmoudi, Ali Asghar Neshat, Yousef Abbaspour‐Gilandeh, Kobra Heidarbeigi, Petia Radeva, Yiannis Ampatzidis, Razieh Sheikhpour and Mehdi Agha Sarram. Their work appears in journals such as Computers in Biology and Medicine, Journal of Computational Science, Postharvest Biology and Technology, Scientia Horticulturae and Journal of Agriculture and Food Research.

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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