K. Makhoul

216 total papers · 7.3k total citations
9 papers, 158 citations indexed

About

K. Makhoul is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, K. Makhoul has authored 9 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 3 papers in Artificial Intelligence and 2 papers in Astronomy and Astrophysics. Recurrent topics in K. Makhoul's work include Particle physics theoretical and experimental studies (7 papers), High-Energy Particle Collisions Research (4 papers) and Computational Physics and Python Applications (3 papers). K. Makhoul is often cited by papers focused on Particle physics theoretical and experimental studies (7 papers), High-Energy Particle Collisions Research (4 papers) and Computational Physics and Python Applications (3 papers). K. Makhoul collaborates with scholars based in United States. K. Makhoul's co-authors include G. Gomez Ceballos, Gerry P. Bauer, Maxim Goncharov, F. Vilas, E. N. Wells, B. Zellner, G. Choudalakis, A. D. Storrs, M. J. Gaffey and C. Henderson and has published in prestigious journals such as Physical Review Letters, PubMed and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

K. Makhoul

4 papers receiving 140 citations

Author Peers

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

Author Last Decade Papers Cites
K. Makhoul 137 58 32 17 16 9 158
Yasin Al‐Qubati 186 1.4× 93 1.6× 41 1.3× 21 1.2× 57 3.6× 15 255
Amireh Heshmatkhah 233 1.7× 69 1.2× 27 0.8× 28 1.6× 23 1.4× 12 247
Kumar Avishek 245 1.8× 151 2.6× 60 1.9× 32 1.9× 16 1.0× 14 274
Lisa Read 148 1.1× 33 0.6× 22 0.7× 14 0.8× 36 2.3× 10 214
Philip E. Coyne 121 0.9× 65 1.1× 30 0.9× 9 0.5× 48 3.0× 9 253
Karl Erik Müller 179 1.3× 120 2.1× 49 1.5× 29 1.7× 17 1.1× 19 236
Deepak Kumar Deep 217 1.6× 144 2.5× 46 1.4× 13 0.8× 5 0.3× 8 225
Nathanial K. Copeland 100 0.7× 75 1.3× 20 0.6× 5 0.3× 20 1.3× 12 160
Hênio Godeiro Lacerda 232 1.7× 139 2.4× 75 2.3× 24 1.4× 31 1.9× 11 287
Eliza V.C. Alves‐Ferreira 140 1.0× 109 1.9× 31 1.0× 20 1.2× 12 0.8× 15 237

Countries citing papers authored by K. Makhoul

Since Specialization
Citations

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

Fields of papers citing papers by K. Makhoul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Makhoul

This figure shows the co-authorship network connecting the top 25 collaborators of K. Makhoul. A scholar is included among the top collaborators of K. Makhoul 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 K. Makhoul. K. Makhoul 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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2026