Hakima Lakhdar
About
In The Last Decade
Hakima Lakhdar
6 papers receiving 444 citations
Peers
Comparison fields: 5 of 57
- Biochemistry 241
- Molecular Biology 221
- Cell Biology 144
- Physiology 131
- Surgery 114
Countries citing papers authored by Hakima Lakhdar
This map shows the geographic impact of Hakima Lakhdar'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 Hakima Lakhdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hakima Lakhdar more than expected).
Fields of papers citing papers by Hakima Lakhdar
This network shows the impact of papers produced by Hakima Lakhdar. 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 Hakima Lakhdar. The network helps show where Hakima Lakhdar may publish in the future.
Co-authorship network of co-authors of Hakima Lakhdar
This figure shows the co-authorship network connecting the top 25 collaborators of Hakima Lakhdar. A scholar is included among the top collaborators of Hakima Lakhdar 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 Hakima Lakhdar. Hakima Lakhdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 33 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 346 | |
| 6 | 27 |
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.