Lama Khalil

28 total papers · 467 total citations
17 papers, 217 citations indexed

About

Lama Khalil is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Lama Khalil has authored 17 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 7 papers in Atomic and Molecular Physics, and Optics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Lama Khalil's work include 2D Materials and Applications (13 papers), Graphene research and applications (7 papers) and Topological Materials and Phenomena (7 papers). Lama Khalil is often cited by papers focused on 2D Materials and Applications (13 papers), Graphene research and applications (7 papers) and Topological Materials and Phenomena (7 papers). Lama Khalil collaborates with scholars based in France, United States and Italy. Lama Khalil's co-authors include Julien Chaste, Abdelkarim Ouerghi, Debora Pierucci, J. Ávila, Emmanuel Lhuillier, L. Perfetti, Marco Caputo, M. Marsi, M. C. Asensio and E. Papalazarou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Nano and Applied Physics Letters.

In The Last Decade

Lama Khalil

17 papers receiving 210 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lama Khalil 179 95 68 36 19 17 217
Benoît Van Troeye 211 1.2× 112 1.2× 55 0.8× 57 1.6× 8 0.4× 15 271
J. Walter 209 1.2× 106 1.1× 77 1.1× 19 0.5× 18 0.9× 22 263
Shiru Song 227 1.3× 118 1.2× 85 1.3× 23 0.6× 13 0.7× 12 275
Jekwan Lee 199 1.1× 119 1.3× 96 1.4× 28 0.8× 16 0.8× 12 244
Nils Richter 190 1.1× 109 1.1× 72 1.1× 67 1.9× 22 1.2× 13 268
Renee Sailus 264 1.5× 175 1.8× 86 1.3× 34 0.9× 19 1.0× 23 322
J.H. Kang 231 1.3× 147 1.5× 51 0.8× 20 0.6× 16 0.8× 14 281
Isaac M. Craig 193 1.1× 106 1.1× 64 0.9× 54 1.5× 22 1.2× 11 278
Woongki Na 284 1.6× 163 1.7× 45 0.7× 33 0.9× 18 0.9× 11 325
Kristina Vaklinova 213 1.2× 82 0.9× 95 1.4× 18 0.5× 17 0.9× 15 259

Countries citing papers authored by Lama Khalil

Since Specialization
Citations

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

Fields of papers citing papers by Lama Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lama Khalil

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