Mohamed Lachgar

922 citations
57 papers · 465 indexed · 1 hit paper · h-index 11
Topics
Advanced Software Engineering Methodologies (7 papers)Smart Agriculture and AI (7 papers)Cutaneous Melanoma Detection and Management (7 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access

In The Last Decade

Mohamed Lachgar

47 papers receiving 429 citations

Hit Papers

Assessing Distance Learning in Higher Education during th...202020262022202420204080120

Peers

Mohamed Lachgar
Comparison fields: 5 of 112
  • Information Systems 105
  • Education 86
  • Artificial Intelligence 83
  • Radiology, Nuclear Medicine and Imaging 58
  • Plant Science 53
Replace Kavita Khanna with:
Kavita Khanna India
Hamdani Hamdani Indonesia
Rohayanti Hassan Malaysia
Alexander A. Hernandez Philippines
Mohammad Shamsul Arefin Bangladesh
Wael M. S. Yafooz Saudi Arabia
Husam Jasim Mohammed Iraq
Rania Hodhod United States
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Citations per field
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Citations per year

Countries citing papers authored by Mohamed Lachgar

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Lachgar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Lachgar

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Lachgar. A scholar is included among the top collaborators of Mohamed Lachgar 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 Mohamed Lachgar. Mohamed Lachgar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 1
6 1
7 16
8 1
9 1
10 2
11 0
12 4
13 2
14 3
15 0
16 4
17 10
18 4
19 1
20 1

About Mohamed Lachgar

Mohamed Lachgar is a scholar working on Software, Information Systems and Human-Computer Interaction, having authored 57 papers that have together received 465 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (7 papers), Smart Agriculture and AI (7 papers) and Cutaneous Melanoma Detection and Management (7 papers). The work is most often cited by research in Computer Science Applications (32 citations), Software (18 citations) and Information Systems (105 citations). Mohamed Lachgar has collaborated with scholars based in Morocco, France and United Kingdom. Frequent co-authors include Hamid Hrimech, Ali Kartit, D. Goujdami, A. Rochdi, Larbi El Firdoussi, Hind Kabaili, Mohamed Hanine, Omar Boutkhoum, Imran Ashraf and J. RIGAUDY. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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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