Mansoor Alam

21 total papers · 420 total citations
18 papers, 300 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 300 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, Mohammed Ismail, Zubair Ahmad Khan, Javaid Iqbal 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 268 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mansoor Alam 181 62 30 25 22 18 300
Neha Goyal 99 0.5× 29 0.5× 28 0.9× 29 1.2× 25 1.1× 41 340
José Cláudio Faria 125 0.7× 88 1.4× 20 0.7× 27 1.1× 7 0.3× 13 347
Éric Platon 160 0.9× 70 1.1× 39 1.3× 7 0.3× 20 0.9× 12 264
Petar Vračar 77 0.4× 28 0.5× 37 1.2× 11 0.4× 11 0.5× 10 301
Zhibin Wang 154 0.9× 55 0.9× 47 1.6× 12 0.5× 47 2.1× 20 339
Julien Champ 134 0.7× 85 1.4× 13 0.4× 27 1.1× 25 1.1× 14 318
Volker Dworak 182 1.0× 65 1.0× 10 0.3× 5 0.2× 13 0.6× 17 306
Saroj Ahirwar 89 0.5× 31 0.5× 14 0.5× 7 0.3× 7 0.3× 12 345
Jiayi Sun 114 0.6× 89 1.4× 14 0.5× 5 0.2× 44 2.0× 22 351
Feifei Yang 102 0.6× 57 0.9× 15 0.5× 4 0.2× 26 1.2× 29 353

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

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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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