Mansoor Alam

459 total citations
18 papers, 302 citations indexed

About

Mansoor Alam is a scholar working on Plant Science, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mansoor Alam has authored 18 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Plant Science, 3 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Mansoor Alam's work include Smart Agriculture and AI (3 papers), Spectroscopy and Chemometric Analyses (2 papers) and Network Security and Intrusion Detection (2 papers). Mansoor Alam is often cited by papers focused on Smart Agriculture and AI (3 papers), Spectroscopy and Chemometric Analyses (2 papers) and Network Security and Intrusion Detection (2 papers). Mansoor Alam collaborates with scholars based in United States, India and Pakistan. Mansoor Alam's co-authors include Debarup Das, Muhammad Tahir Khan, Muhammad Tufail, Muhammad Shahab Alam, Muhammad Umer Khan, Muhammad Roman, Javaid Iqbal, Mohammed Ismail, Zubair Ahmad Khan and Shahbaz Khan and has published in prestigious journals such as PLoS ONE, Cancers and Applied Sciences.

In The Last Decade

Mansoor Alam

18 papers receiving 271 citations

Peers

Mansoor Alam
Mansoor Alam
Citations per year, relative to Mansoor Alam Mansoor Alam (= 1×) peers Neha Goyal

Countries citing papers authored by Mansoor Alam

Since Specialization
Citations

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

Fields of papers citing papers by Mansoor Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansoor Alam

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

All Works

18 of 18 papers shown
1.
Ismail, Mohammed, et al.. (2024). BIRD SQUIRREL OPTIMIZATION WITH DEEP RECURRENT NEURAL NETWORK FOR PROSTATE CANCER DETECTION. International Journal for Multiscale Computational Engineering. 23(1). 47–67. 1 indexed citations
2.
Alam, Muhammad Shahab, Mansoor Alam, Muhammad Tufail, et al.. (2022). TobSet: A New Tobacco Crop and Weeds Image Dataset and Its Utilization for Vision-Based Spraying by Agricultural Robots. Applied Sciences. 12(3). 1308–1308. 27 indexed citations
3.
Alam, Mansoor, et al.. (2022). Analysis Of Cyber Threat Detection And Emulation Using MITRE Attack Framework. 4–12. 13 indexed citations
4.
Wallner, Christoph, Mansoor Alam, Marius Drysch, et al.. (2021). A Highly Reliable Convolutional Neural Network Based Soft Tissue Sarcoma Metastasis Detection from Chest X-ray Images: A Retrospective Cohort Study. Cancers. 13(19). 4961–4961. 6 indexed citations
5.
Khan, Shahbaz, Muhammad Tufail, Muhammad Tahir Khan, et al.. (2021). A novel semi-supervised framework for UAV based crop/weed classification. PLoS ONE. 16(5). e0251008–e0251008. 43 indexed citations
6.
Ismail, Mohammed, et al.. (2021). Network Forensics Investigation in Virtual Data Centers Using ELK. 175–179. 6 indexed citations
7.
Alam, Mansoor, et al.. (2020). A Machine Learning Based Improved LogisticRegression Method for Prostate Cancer Diagnosis. International Journal of Emerging Trends in Engineering Research. 8(9). 5693–5698. 3 indexed citations
8.
Alam, Mansoor, Muhammad Shahab Alam, Muhammad Roman, et al.. (2020). Real-Time Machine-Learning Based Crop/Weed Detection and Classification for Variable-Rate Spraying in Precision Agriculture. 273–280. 85 indexed citations
9.
Ismail, Mohammed, et al.. (2020). A Machine Learning Classification Technique for Predicting Prostate Cancer. 228–232. 27 indexed citations
10.
Bharadwaj, Anandhi, et al.. (2020). A Data Science Approach to Football Team Player Selection. 175–183. 8 indexed citations
11.
Alam, Mansoor, et al.. (2020). RGB based EEG Controlled Virtual Keyboard for Physically Challenged People. 1–5. 3 indexed citations
12.
Alam, Mansoor, et al.. (2020). A Real Time Stock tendency prognostication using Quantopian. 1260–1267. 1 indexed citations
13.
Abid, Anam, et al.. (2017). Real time health monitoring of industrial machine using multiclass support vector machine. 13. 77–81. 9 indexed citations
14.
Alam, Mansoor, et al.. (2002). Performance of Some Exotic Potato Varieties under Bangladesh Conditions. Asian Journal of Plant Sciences. 2(1). 108–112. 3 indexed citations
15.
Das, Debarup & Mansoor Alam. (2001). Trees of Bangladesh.. 53 indexed citations
16.
Alam, Mansoor & Mohammed Mohi-Ud-Din. (1992). Some potential multipurpose trees for homesteads in Bangladesh. 7 indexed citations
17.
Alam, Mansoor. (1990). Rattans of Bangladesh.. 4 indexed citations
18.
Alam, Mansoor, et al.. (1987). Taxonomic studies in the genus avicennia linn. from bangladesh. Bangladesh Journal of Botany. 16(1). 39–44. 3 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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