Hani Abu‐Salem

22 total papers · 486 total citations
15 papers, 313 citations indexed

About

Hani Abu‐Salem is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Hani Abu‐Salem has authored 15 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Information Systems and 2 papers in Information Systems and Management. Recurrent topics in Hani Abu‐Salem's work include Advanced Text Analysis Techniques (7 papers), Text and Document Classification Technologies (5 papers) and Topic Modeling (5 papers). Hani Abu‐Salem is often cited by papers focused on Advanced Text Analysis Techniques (7 papers), Text and Document Classification Technologies (5 papers) and Topic Modeling (5 papers). Hani Abu‐Salem collaborates with scholars based in United States and Jordan. Hani Abu‐Salem's co-authors include Bassam Hammo, Martha Evens, Steven L. Lytinen, Qasem A. Al‐Radaideh, Emad Al‐Shawakfa, Emad Abu-Shanab, Mohammad Shehab, Azzam Sleit, Noor Aldeen Alawad and Ahmad T. Al‐Taani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Society for Information Science and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Hani Abu‐Salem

14 papers receiving 274 citations

Author Peers

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

Author Last Decade Papers Cites
Hani Abu‐Salem 206 131 58 40 12 15 313
Therani Madhusudan 131 0.6× 160 1.2× 137 2.4× 27 0.7× 11 0.9× 19 306
Jos Lehmann 226 1.1× 129 1.0× 21 0.4× 35 0.9× 6 0.5× 19 275
S. Willmott 216 1.0× 106 0.8× 50 0.9× 45 1.1× 9 0.8× 24 325
Stefan Weß 251 1.2× 97 0.7× 40 0.7× 21 0.5× 7 0.6× 21 358
James Martin 111 0.5× 106 0.8× 63 1.1× 36 0.9× 19 1.6× 14 355
Terence M. Barron 140 0.7× 127 1.0× 41 0.7× 51 1.3× 16 1.3× 13 258
Liliana Cabral 219 1.1× 213 1.6× 111 1.9× 37 0.9× 11 0.9× 22 319
Rose Dieng-Kuntz 203 1.0× 110 0.8× 39 0.7× 16 0.4× 20 1.7× 25 294
Rafiqul Haque 256 1.2× 76 0.6× 34 0.6× 48 1.2× 16 1.3× 19 355
Yu‐Liang Chi 142 0.7× 72 0.5× 47 0.8× 20 0.5× 7 0.6× 26 245

Countries citing papers authored by Hani Abu‐Salem

Since Specialization
Citations

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

Fields of papers citing papers by Hani Abu‐Salem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hani Abu‐Salem. 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 Hani Abu‐Salem. The network helps show where Hani Abu‐Salem may publish in the future.

Co-authorship network of co-authors of Hani Abu‐Salem

This figure shows the co-authorship network connecting the top 25 collaborators of Hani Abu‐Salem. A scholar is included among the top collaborators of Hani Abu‐Salem 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 Hani Abu‐Salem. Hani Abu‐Salem 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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