Ismail Hmeidi

59 total papers · 1.1k total citations
45 papers, 749 citations indexed

About

Ismail Hmeidi is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ismail Hmeidi has authored 45 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 17 papers in Information Systems and 14 papers in Computer Networks and Communications. Recurrent topics in Ismail Hmeidi's work include Text and Document Classification Technologies (10 papers), Spam and Phishing Detection (10 papers) and IoT and Edge/Fog Computing (8 papers). Ismail Hmeidi is often cited by papers focused on Text and Document Classification Technologies (10 papers), Spam and Phishing Detection (10 papers) and IoT and Edge/Fog Computing (8 papers). Ismail Hmeidi collaborates with scholars based in Jordan, Malaysia and Saudi Arabia. Ismail Hmeidi's co-authors include Mahmoud Al‐Ayyoub, Eyas El‐Qawasmeh, Bilal Hawashin, Hassan Najadat, Khalid Al‐Khatib, Laith Abualigah, Qussai Yaseen, Mohammed A. Shehab, Malak Abdullah and Ghassan Kanaan and has published in prestigious journals such as Advanced Engineering Informatics, Journal of Information Science and Simulation Modelling Practice and Theory.

In The Last Decade

Ismail Hmeidi

42 papers receiving 696 citations

Author Peers

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

Author						Papers	Cites
Ismail Hmeidi	432	219	94	91	71	45	749
D. P. Acharjya	311 0.7×	215 1.0×	170 1.8×	73 0.8×	43 0.6×	59	888
Jimmy Singla	266 0.6×	222 1.0×	81 0.9×	80 0.9×	58 0.8×	63	789
Souad Larabi-Marie-Sainte	446 1.0×	105 0.5×	123 1.3×	83 0.9×	46 0.6×	38	785
Md. Saddam Hossain Mukta	401 0.9×	83 0.4×	114 1.2×	102 1.1×	31 0.4×	56	830
Avinash Chandra Pandey	498 1.2×	145 0.7×	196 2.1×	45 0.5×	36 0.5×	32	781
Qi Zhang	423 1.0×	164 0.7×	140 1.5×	72 0.8×	39 0.5×	43	731
Biswajit Purkayastha	499 1.2×	83 0.4×	113 1.2×	104 1.1×	60 0.8×	69	824
Manasi Gyanchandani	461 1.1×	134 0.6×	139 1.5×	146 1.6×	18 0.3×	42	734
Amerah Alabrah	288 0.7×	127 0.6×	108 1.1×	109 1.2×	33 0.5×	55	678
Sharjil Saeed	262 0.6×	80 0.4×	110 1.2×	89 1.0×	68 1.0×	23	747

Countries citing papers authored by Ismail Hmeidi

Since Specialization

Citations

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

Fields of papers citing papers by Ismail Hmeidi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ismail Hmeidi

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