Ghazi Al‐Naymat

102 total papers · 1.6k total citations
74 papers, 882 citations indexed

About

Ghazi Al‐Naymat is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ghazi Al‐Naymat has authored 74 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 25 papers in Information Systems and 23 papers in Computer Networks and Communications. Recurrent topics in Ghazi Al‐Naymat's work include Data Management and Algorithms (12 papers), Sentiment Analysis and Opinion Mining (8 papers) and Data Mining Algorithms and Applications (8 papers). Ghazi Al‐Naymat is often cited by papers focused on Data Management and Algorithms (12 papers), Sentiment Analysis and Opinion Mining (8 papers) and Data Mining Algorithms and Applications (8 papers). Ghazi Al‐Naymat collaborates with scholars based in Jordan, United Arab Emirates and Australia. Ghazi Al‐Naymat's co-authors include Sherif Sakr, Wael Etaiwi, Arafat Awajan, Mouhammd Alkasassbeh, Mohammad Almseidin, Mohammed Azmi Al‐Betar, Sharif Naser Makhadmeh, Mohammed A. Awadallah, Dima Suleiman and Iyad Abu Doush and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Scientometrics.

In The Last Decade

Ghazi Al‐Naymat

67 papers receiving 822 citations

Author Peers

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

Author						Papers	Cites
Ghazi Al‐Naymat	476	284	275	220	96	74	882
Marwan Ali Albahar	417 0.9×	271 1.0×	163 0.6×	157 0.7×	98 1.0×	57	961
Sikha Bagui	504 1.1×	392 1.4×	278 1.0×	205 0.9×	69 0.7×	96	898
Adebayọ Olusọla Adetunmbi	675 1.4×	288 1.0×	312 1.1×	141 0.6×	69 0.7×	46	997
Akashdeep Bhardwaj	241 0.5×	340 1.2×	373 1.4×	224 1.0×	92 1.0×	85	900
Akshat Gaurav	347 0.7×	389 1.4×	242 0.9×	213 1.0×	85 0.9×	109	977
Rajanikanth Aluvalu	335 0.7×	261 0.9×	165 0.6×	111 0.5×	99 1.0×	96	819
Weihong Han	401 0.8×	367 1.3×	417 1.5×	213 1.0×	65 0.7×	73	798
Abdullateef Oluwagbemiga Balogun	306 0.6×	284 1.0×	502 1.8×	189 0.9×	49 0.5×	60	1.0k
Richard Chbeir	388 0.8×	305 1.1×	261 0.9×	132 0.6×	161 1.7×	138	868
Yin‐Fu Huang	400 0.8×	316 1.1×	302 1.1×	152 0.7×	174 1.8×	78	1.0k

Countries citing papers authored by Ghazi Al‐Naymat

Since Specialization

Citations

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

Fields of papers citing papers by Ghazi Al‐Naymat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ghazi Al‐Naymat. 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 Ghazi Al‐Naymat. The network helps show where Ghazi Al‐Naymat may publish in the future.

Co-authorship network of co-authors of Ghazi Al‐Naymat

This figure shows the co-authorship network connecting the top 25 collaborators of Ghazi Al‐Naymat. A scholar is included among the top collaborators of Ghazi Al‐Naymat 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 Ghazi Al‐Naymat. Ghazi Al‐Naymat 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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