Aisha Muhammad

577 citations
55 papers · 407 · h-index 13

Impact in

    • Insect-Plant Interactions and Control
    • Insect and Pesticide Research
    • Plant Parasitism and Resistance
    • Rice Cultivation and Yield Improvement

Papers in

Aisha Muhammad

48 papers receiving 385 citations

Peers

Aisha Muhammad
Comparison fields: 5 of 87
  • Insect Science 91
  • Plant Science 147
  • Ecology, Evolution, Behavior and Systematics 63
  • Control and Systems Engineering 64
  • Computer Vision and Pattern Recognition 50
Replace Enrico Marchesini with:
Enrico Marchesini Italy
H. Piekarska-Boniecka Poland
Ali Youssef Belgium
Ruhai Li China
K. Itou Japan
Jinghui Yang China
Zhaolin Ji China
Yinfa Yan China
Jianbo Li China
R. Lal Tummala United States
Aisha Muhammad relative to Enrico Marchesini Italy Enrico Marchesini's profile →
Citations per field
00.5×1.5×
Enrico Marchesini · 1×
Citations per year

Countries citing papers authored by Aisha Muhammad

Since Specialization
Citations

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

Fields of papers citing papers by Aisha Muhammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aisha Muhammad, 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 Aisha Muhammad Line = papers co-authored together Aisha Muhammad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199774
2 201443
3 201819
4
Antagonistic activities of endophytic bacteria against Fusarium wilt of black pepper (Piper nigrum).
201318
5 199517
6 202117
7 202015
8 202015
9 200713
10 202113
11 201912
12 200712
13 199512
14 202110
15 20189
16 20209
17 20208
18 20218
19 20196
20 20226

About Aisha Muhammad

Aisha Muhammad is a scholar working on Plant Science, Mechanical Engineering, Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 407 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (8 papers), Mechanical Engineering and Vibrations Research (8 papers), Robotic Path Planning Algorithms (7 papers), Advanced DC-DC Converters (6 papers), Agricultural pest management studies (6 papers), Microgrid Control and Optimization (4 papers), Autonomous Vehicle Technology and Safety (4 papers) and Mechanical Failure Analysis and Simulation (4 papers). The work is most often cited by research in Insect Science (91 citations), Plant Science (147 citations), Ecology, Evolution, Behavior and Systematics (63 citations), Control and Systems Engineering (64 citations) and Computer Vision and Pattern Recognition (50 citations). Aisha Muhammad has collaborated with scholars based in Nigeria, Malaysia and United Arab Emirates. Frequent co-authors include Mohammed A. H. Ali, Nor Rul Hasma Abdullah, Henk van den Berg, Ajit Singh, Hamdan Daniyal, Osumanu Haruna Ahmed, Ibrahim Umar Mohammed, Sherzod Turaev, Elvira Fiallo‐Olivé and Jesús Navas‐Castillo. Their work appears in journals such as Plant Disease, Engineering Applications of Artificial Intelligence, Journal of Applied Ecology, The Journal of Engineering and Sensors.

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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