Mohammad Monirul Islam

894 total citations
53 papers, 610 citations indexed

About

Mohammad Monirul Islam is a scholar working on Environmental Engineering, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Mohammad Monirul Islam has authored 53 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Environmental Engineering, 10 papers in Electrical and Electronic Engineering and 8 papers in Plant Science. Recurrent topics in Mohammad Monirul Islam's work include Soil Geostatistics and Mapping (16 papers), Soil Moisture and Remote Sensing (12 papers) and Geophysical and Geoelectrical Methods (7 papers). Mohammad Monirul Islam is often cited by papers focused on Soil Geostatistics and Mapping (16 papers), Soil Moisture and Remote Sensing (12 papers) and Geophysical and Geoelectrical Methods (7 papers). Mohammad Monirul Islam collaborates with scholars based in Bangladesh, Belgium and United States. Mohammad Monirul Islam's co-authors include Marc Van Meirvenne, Eef Meerschman, Philippe De Smedt, Timothy Saey, Feng Zhao, Ellen Van De Vijver, Chih‐Fang Huang, Md. Ariful Islam, Kazuyuki Murase and Shahriar Nirjon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and Soil Science Society of America Journal.

In The Last Decade

Mohammad Monirul Islam

50 papers receiving 589 citations

Peers

Mohammad Monirul Islam

EEE

GEOPH

Michael J. Allen United States

Ning United States

Vincenzo Ferrara Italy

Lingli Zhao China

Qihu Li China

Mahesh Bandi United States

Bochen Zhang China

Wenqing Huang China

Kai Ming Li China

Michael J. Allen United States

Mohammad Monirul Islam

170 ×0.9

44 ×0.3

EEE

85 ×0.6

GEOPH

56 ×0.4

60 ×0.7

Citations per year, relative to Mohammad Monirul Islam Mohammad Monirul Islam (= 1×) peers Michael J. Allen

Countries citing papers authored by Mohammad Monirul Islam

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Monirul Islam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Monirul Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Monirul Islam. A scholar is included among the top collaborators of Mohammad Monirul Islam 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 Monirul Islam. Mohammad Monirul Islam 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

Katiyar, Sanjay, Lekha T. Pazhamala, Jérôme Bartholomé, et al.. (2025). Accelerated breeding modernization: a global blueprint for driving genetic gains, climate resilience, and food security in rice. Theoretical and Applied Genetics. 138(12). 293–293.

Rahman, Md. Ataur, et al.. (2025). An in-Depth Analysis for Machine-Vision-Based Mango Leaf Diseases Recognition. 1571–1576.

Islam, Md. Touhidul, et al.. (2025). Integrated GIS, statistical modeling, and CMIP6-based assessment of groundwater irrigation quality in north-central Bangladesh for sustainable management. Results in Engineering. 27. 106496–106496. 1 indexed citations

Islam, Mohammad Monirul, et al.. (2024). A study on social media addiction analysis on the people of Bangladesh using machine learning algorithms. Bulletin of Electrical Engineering and Informatics. 13(5). 3493–3502. 2 indexed citations

Islam, Md. Sirajul, et al.. (2024). Investigation of groundwater and its seasonal variation in a rural region in Natore, Bangladesh. Heliyon. 10(12). e32991–e32991. 2 indexed citations

Islam, Mohammad Monirul, et al.. (2023). University student's mental stress detection using machine learning. 113–113. 5 indexed citations

Moon, Nazmun Nessa, et al.. (2022). Sentiment analysis on Bangla conversation using machine learning approach. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 12(5). 5562–5562. 10 indexed citations

Jahan, Israt, et al.. (2021). Predicting Satisfaction of Online Banking System in Bangladesh by Machine Learning. 223–228. 15 indexed citations

Moon, Nazmun Nessa, et al.. (2021). Machine learning approach to predict the depression in job sectors in Bangladesh. SHILAP Revista de lepidopterología. 2. 100058–100058. 7 indexed citations

10.

Moon, Nazmun Nessa, et al.. (2021). Machine Learning Approach to Predict Traffic Accident Occurrence in Bangladesh. 7. 30–33. 2 indexed citations

11.

Zebarth, Bernie J., Mohammad Monirul Islam, Athyna N. Cambouris, et al.. (2019). Spatial Variation of Soil Health Indices in a Commercial Potato Field in Eastern Canada. Soil Science Society of America Journal. 83(6). 1786–1798. 17 indexed citations

12.

Islam, Mohammad Monirul, et al.. (2014). Mapping of site-specific soil spatial variability by geostatistical technique for textural fractions in a terrace soil of Bangladesh.. Journal of Bioscience and Agriculture Research. 1(1). 8–16. 4 indexed citations

13.

Saey, Timothy, Philippe De Smedt, Mohammad Monirul Islam, et al.. (2012). Depth slicing of multi-receiver EMI measurements to enhance the delineation of contrasting subsoil features. Geoderma. 189-190. 514–521. 24 indexed citations

14.

Smedt, Philippe De, Timothy Saey, Birger Stichelbaut, et al.. (2012). Exploring the potential of multi-receiver EMI survey for geoarchaeological prospection: A 90 ha dataset. Geoderma. 199. 30–36. 47 indexed citations

15.

Islam, Mohammad Monirul & Marc Van Meirvenne. (2011). FloSSy: a floating sensing system to evaluate soil variability of flooded paddy fields. Ghent University Academic Bibliography (Ghent University). 3 indexed citations

16.

Saey, Timothy, Philippe De Smedt, Eef Meerschman, et al.. (2011). Electrical Conductivity Depth Modelling with a Multireceiver EMI Sensor for Prospecting Archaeological Features. Archaeological Prospection. 19(1). 21–30. 28 indexed citations

17.

Islam, Mohammad Monirul, et al.. (2011). A floating sensing system to evaluate soil and crop variability within flooded paddy rice fields. Precision Agriculture. 12(6). 850–859. 6 indexed citations

18.

Meerschman, Eef, et al.. (2010). Geostatistical Assessment of the Impact of World War I on the Spatial Occurrence of Soil Heavy Metals. AMBIO. 40(4). 417–424. 24 indexed citations

19.

Zhao, Feng, Mohammad Monirul Islam, & Chih‐Fang Huang. (2010). Study of SiO2 encapsulation for aluminum and phosphorus implant activation in 4H-SiC. Materials Letters. 64(23). 2593–2596. 5 indexed citations

20.

Islam, Mohammad Monirul, Xin Yao, Shahriar Nirjon, Md. Ariful Islam, & Kazuyuki Murase. (2008). Bagging and Boosting Negatively Correlated Neural Networks. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 38(3). 771–784. 61 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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