Muhammad Imran

278 total papers · 4.4k total citations
233 papers, 3.4k citations indexed

About

Muhammad Imran is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Organic Chemistry. According to data from OpenAlex, Muhammad Imran has authored 233 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 173 papers in Computational Theory and Mathematics, 155 papers in Geometry and Topology and 76 papers in Organic Chemistry. Recurrent topics in Muhammad Imran's work include Graph theory and applications (154 papers), Computational Drug Discovery Methods (108 papers) and Graph Labeling and Dimension Problems (62 papers). Muhammad Imran is often cited by papers focused on Graph theory and applications (154 papers), Computational Drug Discovery Methods (108 papers) and Graph Labeling and Dimension Problems (62 papers). Muhammad Imran collaborates with scholars based in Pakistan, United Arab Emirates and China. Muhammad Imran's co-authors include Sakander Hayat, Muhammad Kamran Siddiqui, Abdul Qudair Baig, Shehnaz Akhter, Mohammad Reza Farahani, Ali Ahmad, Hafiz Muhammad Afzal Siddiqui, Wei Gao, Haidar Ali and Syed Ahtsham Ul Haq Bokhary and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Imran

220 papers receiving 3.3k citations

Author Peers

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

Author Last Decade Papers Cites
Muhammad Imran 2.6k 2.5k 1.2k 316 224 233 3.4k
Muhammad Kamran Siddiqui 3.0k 1.2× 2.8k 1.1× 1.5k 1.2× 486 1.5× 331 1.5× 280 3.9k
Mohammad Reza Farahani 1.8k 0.7× 2.0k 0.8× 1.2k 1.0× 225 0.7× 116 0.5× 263 2.9k
Heping Zhang 1.3k 0.5× 1.7k 0.7× 914 0.7× 324 1.0× 209 0.9× 214 2.6k
Bo Zhou 2.9k 1.1× 3.8k 1.5× 2.1k 1.7× 443 1.4× 552 2.5× 265 4.8k
Dragoš Cvetković 3.3k 1.3× 4.4k 1.8× 1.8k 1.5× 346 1.1× 412 1.8× 124 5.5k
Sandi Klavžar 5.1k 1.9× 3.4k 1.4× 1.1k 0.9× 361 1.1× 878 3.9× 351 6.8k
Али Реза Ашрафи 2.0k 0.7× 2.5k 1.0× 1.5k 1.2× 413 1.3× 190 0.8× 299 3.1k
Asad Ullah 791 0.3× 812 0.3× 409 0.3× 636 2.0× 173 0.8× 156 2.4k
Joseph H. Silverman 1.3k 0.5× 4.9k 2.0× 231 0.2× 375 1.2× 406 1.8× 286 8.3k
Damir Vukičević 1.8k 0.7× 2.1k 0.8× 1.4k 1.1× 266 0.8× 81 0.4× 131 2.8k

Countries citing papers authored by Muhammad Imran

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Imran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Imran

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Imran. A scholar is included among the top collaborators of Muhammad Imran 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 Muhammad Imran. Muhammad Imran 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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