Muhammad Ibrahim Khalil

20 total papers · 512 total citations
11 papers, 243 citations indexed

About

Muhammad Ibrahim Khalil is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Muhammad Ibrahim Khalil has authored 11 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Muhammad Ibrahim Khalil's work include AI in cancer detection (3 papers), COVID-19 diagnosis using AI (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Muhammad Ibrahim Khalil is often cited by papers focused on AI in cancer detection (3 papers), COVID-19 diagnosis using AI (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Muhammad Ibrahim Khalil collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Muhammad Ibrahim Khalil's co-authors include N. Z. Jhanjhi, Mamoona Humayun, Mamdouh El Haj Assad, Ehab Bani-Hani, Saleh Naif Almuayqil, Mehedi Masud, M. Shamim Hossain, Sivakumar Sivanesan, Samabia Tehsin and Mohammed A. AlZain and has published in prestigious journals such as Electronics, Sustainable Energy Technologies and Assessments and Computers, materials & continua/Computers, materials & continua (Print).

In The Last Decade

Muhammad Ibrahim Khalil

10 papers receiving 232 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 Ibrahim Khalil 63 54 50 45 41 11 243
Hamdan Abdellatef 132 2.1× 98 1.8× 37 0.7× 16 0.4× 30 0.7× 15 279
Pius Kwao Gadosey 73 1.2× 77 1.4× 8 0.2× 9 0.2× 24 0.6× 10 316
R. Arshath Raja 64 1.0× 75 1.4× 7 0.1× 23 0.5× 16 0.4× 20 253
Ebrahim Hamid Sumiea 65 1.0× 56 1.0× 10 0.2× 12 0.3× 26 0.6× 11 310
Tongyan Li 88 1.4× 15 0.3× 28 0.6× 89 2.0× 30 0.7× 21 319
Osama Farouk Hassan 108 1.7× 19 0.4× 10 0.2× 38 0.8× 93 2.3× 12 299
Mengyang Zhao 61 1.0× 20 0.4× 15 0.3× 10 0.2× 26 0.6× 21 284
Ahmad Karim 103 1.6× 109 2.0× 13 0.3× 7 0.2× 23 0.6× 13 314
Johny Renoald Albert 44 0.7× 172 3.2× 74 1.5× 15 0.3× 38 0.9× 16 313
Mahsa Torkamanian-Afshar 97 1.5× 44 0.8× 6 0.1× 14 0.3× 13 0.3× 13 275

Countries citing papers authored by Muhammad Ibrahim Khalil

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Ibrahim Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Ibrahim Khalil

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