Mohammed Elbes

34 total papers · 573 total citations
29 papers, 419 citations indexed

About

Mohammed Elbes is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Mohammed Elbes has authored 29 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Mohammed Elbes's work include Indoor and Outdoor Localization Technologies (7 papers), Text and Document Classification Technologies (6 papers) and Advanced Text Analysis Techniques (4 papers). Mohammed Elbes is often cited by papers focused on Indoor and Outdoor Localization Technologies (7 papers), Text and Document Classification Technologies (6 papers) and Advanced Text Analysis Techniques (4 papers). Mohammed Elbes collaborates with scholars based in Jordan, United States and Bahrain. Mohammed Elbes's co-authors include Tarek Kanan, Shadi AlZu’bi, Ala Al‐Fuqaha, Bilal Hawashin, Eyad Almaita, Yaser Jararweh, Ammar Rayes, Ahmad AA Alkhatib, Ala Mughaid and Riyad Al–Shalabi and has published in prestigious journals such as Multimedia Tools and Applications, Personal and Ubiquitous Computing and Fractals.

In The Last Decade

Mohammed Elbes

28 papers receiving 411 citations

Author Peers

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

Author Last Decade Papers Cites
Mohammed Elbes 171 86 80 73 53 29 419
Nadim Rana 150 0.9× 88 1.0× 70 0.9× 94 1.3× 56 1.1× 22 408
Yuris Mulya Saputra 140 0.8× 83 1.0× 130 1.6× 141 1.9× 50 0.9× 23 417
Junfu Chen 249 1.5× 48 0.6× 91 1.1× 65 0.9× 51 1.0× 28 466
Hongyi Wu 248 1.5× 104 1.2× 54 0.7× 80 1.1× 48 0.9× 54 436
Zhaoyang Han 111 0.6× 112 1.3× 112 1.4× 167 2.3× 35 0.7× 28 384
Asım Sinan Yüksel 137 0.8× 65 0.8× 79 1.0× 35 0.5× 47 0.9× 32 423
Yihong Yang 175 1.0× 102 1.2× 51 0.6× 142 1.9× 78 1.5× 30 476
Aized Amin Soofi 122 0.7× 104 1.2× 101 1.3× 75 1.0× 38 0.7× 18 458
Ruxin Zhao 223 1.3× 75 0.9× 52 0.7× 124 1.7× 66 1.2× 30 400
Saima Anwar Lashari 132 0.8× 65 0.8× 69 0.9× 105 1.4× 75 1.4× 42 399

Countries citing papers authored by Mohammed Elbes

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Elbes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Elbes

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