Muhammad Roman

694 citations
33 papers · 453 · h-index 13

Impact in

Papers in

Muhammad Roman

30 papers receiving 430 citations

Peers

Muhammad Roman
Comparison fields: 5 of 115
  • Electrical and Electronic Engineering 167
  • Plant Science 102
  • Artificial Intelligence 79
  • Applied Microbiology and Biotechnology 4
  • Molecular Medicine 9
Replace Tingting Wu with:
Tingting Wu China
Damla Senol Cali Switzerland
Shuhan Lu China
Zhihong Chen China
Mete Akgün Türkiye
Ritesh Kumar India
Zhihua Li China
Ricardo Ferreira Brazil
Pingping Lin China
Muhammad Roman relative to Tingting Wu China Tingting Wu's profile →
Citations per field
00.5×4.7×
Tingting Wu · 1×
Citations per year

Countries citing papers authored by Muhammad Roman

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Roman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Roman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Roman Line = papers co-authored together Muhammad Roman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202085
2 202240
3 202137
4 202232
5 202230
6 202228
7 202223
8 202220
9 201720
10 202318
11 202214
12 202313
13 202212
14 202211
15 202311
16 202310
17 20239
18 20248
19 20216
20 20165

About Muhammad Roman

Muhammad Roman is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Molecular Biology, Biomedical Engineering and Information Systems, having authored 33 papers that have together received 453 indexed citations. Recurring topics across this work include Photonic and Optical Devices (11 papers), Advanced Fiber Optic Sensors (10 papers), Advanced Text Analysis Techniques (6 papers), Topic Modeling (6 papers), Plasmonic and Surface Plasmon Research (5 papers), Natural Language Processing Techniques (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Photonic Crystal and Fiber Optics (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (167 citations), Plant Science (102 citations), Artificial Intelligence (79 citations), Applied Microbiology and Biotechnology (4 citations) and Molecular Medicine (9 citations). Muhammad Roman has collaborated with scholars based in Pakistan, China and United States. Frequent co-authors include Farhan Mumtaz, Jie Huang, Bohong Zhang, Abdul Shahid, Lashari Ghulam Abbas, Muhammad Aqueel Ashraf, Yutang Dai, Muhammad Tufail, Mansoor Alam and Muhammad Shahab Alam. Their work appears in journals such as PeerJ Computer Science, IEEE Access, Measurement, Infection and Drug Resistance and ACS Omega.

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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