Qais Hammouri

60 total papers · 668 total citations
46 papers, 352 citations indexed

About

Qais Hammouri is a scholar working on Artificial Intelligence, Information Systems and Management and Sociology and Political Science. According to data from OpenAlex, Qais Hammouri has authored 46 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 23 papers in Information Systems and Management and 15 papers in Sociology and Political Science. Recurrent topics in Qais Hammouri's work include Organizational and Employee Performance (24 papers), Technology Adoption and User Behaviour (23 papers) and Digital Marketing and Social Media (13 papers). Qais Hammouri is often cited by papers focused on Organizational and Employee Performance (24 papers), Technology Adoption and User Behaviour (23 papers) and Digital Marketing and Social Media (13 papers). Qais Hammouri collaborates with scholars based in Jordan, Saudi Arabia and Qatar. Qais Hammouri's co-authors include Emad Abu-Shanab, Jassim Ahmad Al-Gasawneh, Nawras M. Nusairat, Ahmad A. Rabaa’i, Alaeddin Ahmad, Marhana Mohamed Anuar, Dmaithan Almajali, Tha’er Majali, Ayman Abdalmajeed Alsmadi and Zulkhairi Dahalin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Management Science Letters and International Journal of Electronic Government Research.

In The Last Decade

Qais Hammouri

38 papers receiving 322 citations

Author Peers

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

Author						Papers	Cites
Qais Hammouri	148	127	102	65	57	46	352
Quốc Trung Phạm	132 0.9×	51 0.4×	124 1.2×	139 2.1×	34 0.6×	43	402
Michael D. Dzandu	74 0.5×	43 0.3×	105 1.0×	72 1.1×	69 1.2×	32	355
Nader Mohammad Aljawarneh	57 0.4×	121 1.0×	106 1.0×	28 0.4×	87 1.5×	41	394
Savanid Vatanasakdakul	153 1.0×	44 0.3×	98 1.0×	45 0.7×	71 1.2×	38	387
Rima Shishakly	128 0.9×	100 0.8×	67 0.7×	20 0.3×	37 0.6×	29	354
Xiaogang Chen	152 1.0×	47 0.4×	147 1.4×	58 0.9×	36 0.6×	26	315
Simona Sternad Zabukovšek	103 0.7×	32 0.3×	104 1.0×	38 0.6×	27 0.5×	29	377
Tha’er Majali	92 0.6×	80 0.6×	86 0.8×	126 1.9×	102 1.8×	24	388
Tomasz Szopiński	114 0.8×	30 0.2×	108 1.1×	65 1.0×	27 0.5×	21	343
Jamshed Khalid	61 0.4×	41 0.3×	53 0.5×	30 0.5×	42 0.7×	28	327

Countries citing papers authored by Qais Hammouri

Since Specialization

Citations

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

Fields of papers citing papers by Qais Hammouri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qais Hammouri

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