Hossein Javadikia

883 total citations
37 papers, 676 citations indexed

About

Hossein Javadikia is a scholar working on Plant Science, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Hossein Javadikia has authored 37 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 14 papers in Analytical Chemistry and 10 papers in Biomedical Engineering. Recurrent topics in Hossein Javadikia's work include Spectroscopy and Chemometric Analyses (14 papers), Smart Agriculture and AI (9 papers) and Biodiesel Production and Applications (6 papers). Hossein Javadikia is often cited by papers focused on Spectroscopy and Chemometric Analyses (14 papers), Smart Agriculture and AI (9 papers) and Biodiesel Production and Applications (6 papers). Hossein Javadikia collaborates with scholars based in Iran, Canada and Spain. Hossein Javadikia's co-authors include Leila Naderloo, Mostafa Mostafaei, Sajad Sabzi, Mahmoud Omid, Fereydoon Sarmadian, Reza Alimardani, Fatemeh Alimardani, Yousef Abbaspour‐Gilandeh, Hamed Kouchaki‐Penchah and Ashkan Nabavi‐Pelesaraei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Energy.

In The Last Decade

Hossein Javadikia

35 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hossein Javadikia Iran 13 184 164 149 135 81 37 676
Asghar Mahmoudi Iran 14 254 1.4× 94 0.6× 102 0.7× 180 1.3× 55 0.7× 41 587
Rajendra Machavaram India 15 215 1.2× 280 1.7× 331 2.2× 75 0.6× 37 0.5× 55 927
Tarahom Mesri Gundoshmian Iran 17 193 1.0× 356 2.2× 210 1.4× 44 0.3× 103 1.3× 32 940
J. Przybył Poland 20 179 1.0× 149 0.9× 161 1.1× 129 1.0× 21 0.3× 76 854
Ting Yuan China 18 563 3.1× 93 0.6× 122 0.8× 124 0.9× 60 0.7× 59 973
Hojjat Ahmadi Iran 18 201 1.1× 299 1.8× 470 3.2× 210 1.6× 118 1.5× 51 1.2k
Stephen W. Searcy United States 19 392 2.1× 266 1.6× 117 0.8× 113 0.8× 292 3.6× 65 1.2k
Song Liu China 20 150 0.8× 109 0.7× 115 0.8× 30 0.2× 71 0.9× 64 1.1k
Wenfu Wu China 17 415 2.3× 84 0.5× 120 0.8× 123 0.9× 40 0.5× 107 1.2k
Paul Funk United States 16 185 1.0× 162 1.0× 124 0.8× 35 0.3× 41 0.5× 71 976

Countries citing papers authored by Hossein Javadikia

Since Specialization
Citations

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

Fields of papers citing papers by Hossein Javadikia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Javadikia

This figure shows the co-authorship network connecting the top 25 collaborators of Hossein Javadikia. A scholar is included among the top collaborators of Hossein Javadikia 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 Hossein Javadikia. Hossein Javadikia 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
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Naderloo, Leila, et al.. (2020). Pomegranate grading based on pH using image processing and artificial intelligence. Journal of Food Measurement & Characterization. 14(6). 3112–3121. 7 indexed citations
3.
Javadikia, Hossein, et al.. (2019). Combining image processing technique and three artificial intelligence methods to recognize the freshness of freshwater shrimp. SHILAP Revista de lepidopterología. 1 indexed citations
4.
Sabzi, Sajad, Hossein Javadikia, & Juan Ignacio Arribas. (2019). A three-variety automatic and non-intrusive computer vision system for the estimation of orange fruit pH value. Measurement. 152. 107298–107298. 25 indexed citations
5.
Ghaderi, Mohammad Reza, et al.. (2019). Different blends of biodiesel, bioethanol, diesel and noise pollution emitted by stationary and moving MF285 tractor. Journal of Environmental Health Science and Engineering. 17(2). 743–752. 1 indexed citations
6.
Naderloo, Leila, et al.. (2019). The relationship between the appearance of pomegranate fruit and color and size of arils based on image processing. Postharvest Biology and Technology. 154. 52–57. 33 indexed citations
7.
Sabzi, Sajad, Yousef Abbaspour‐Gilandeh, & Hossein Javadikia. (2018). Detection of Two Types of Weed through Machine Vision System: Improving Site-Specific Spraying. SHILAP Revista de lepidopterología.
8.
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Sabzi, Sajad, Yousef Abbaspour‐Gilandeh, & Hossein Javadikia. (2018). Developing a Machine Vision System to Detect Weeds from Potato Plant. Tarım Bilimleri Dergisi. 105–118. 5 indexed citations
10.
Javadikia, Hossein, et al.. (2017). Machine vision based expert system to estimate orange mass of three varieties. International journal of agricultural and biological engineering. 10(2). 132–139. 5 indexed citations
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Sarmadian, Fereydoon, et al.. (2014). Mapping of Spatial Variability of Soil Organic Carbon Based on Radial Basis Functions Method. 7(17). 4 indexed citations
13.
Sarmadian, Fereydoon, et al.. (2014). Support Vector Machines Based-Modeling of Land Suitability Analysis for Rainfed Agriculture. 2(4). 165–171. 11 indexed citations
14.
Sarmadian, Fereydoon, et al.. (2014). Digital mapping of soil phosphorus using multivariate geostatistics and topographic information. Australian Journal of Crop Science. 8(8). 1216–1223. 8 indexed citations
15.
Taheri‐Garavand, Amin, Shahin Rafiee, Alireza Keyhani, & Hossein Javadikia. (2013). Modeling of Basil Leaves Drying by GA–ANN. International Journal of Food Engineering. 9(4). 393–401. 6 indexed citations
16.
Jaliliantabar, Farzad, et al.. (2013). Noise evaluation of MF285 and U650 tractors by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS) method. SHILAP Revista de lepidopterología. 1(1). 44–51. 2 indexed citations
17.
Sabzi, Sajad, et al.. (2013). Mass modeling of Bam orange with ANFIS and SPSS methods for using in machine vision. Measurement. 46(9). 3333–3341. 30 indexed citations
18.
Naderloo, Leila, Reza Alimardani, Mahmoud Omid, et al.. (2012). Application of ANFIS to predict crop yield based on different energy inputs. Measurement. 45(6). 1406–1413. 120 indexed citations
19.
Akram, Asadollah, et al.. (2009). Tillage depth and forward speed effects on draft of three primary tillage implements in clay loam soil.. International journal of food, agriculture and environment. 7. 382–385. 45 indexed citations
20.
Javadikia, Hossein, A. Tabatabaeefar, Mahmoud Omid, Reza Alimardani, & Madjid Fathi. (2009). Evaluation of Intelligent Greenhouse Climate Control System, Based Fuzzy Logic in Relation to Conventional Systems. 146–150. 20 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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