Bassam Hammo

1.1k citations
57 papers · 702 indexed · h-index 15
Topics
Topic Modeling (15 papers)Advanced Text Analysis Techniques (10 papers)Natural Language Processing Techniques (9 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access

In The Last Decade

Bassam Hammo

51 papers receiving 661 citations

Peers

Bassam Hammo
Comparison fields: 5 of 102
  • Artificial Intelligence 509
  • Information Systems 198
  • Computer Vision and Pattern Recognition 57
  • Signal Processing 45
  • Health Information Management 37
Replace Fumito Masui with:
Fumito Masui Japan
Peter Spyns Belgium
Lizhen Liu China
Sujan Kumar Saha India
Wan Mohd Nazmee Wan Zainon Malaysia
Jungyun Seo South Korea
Rizwana Irfan Pakistan
Ahmad Hawalah United Kingdom
Sanaa Kaddoura United Arab Emirates
Wael M. S. Yafooz Saudi Arabia
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Citations per field
00.5×3.2×
Fumito Masui · 1×
Citations per year

Countries citing papers authored by Bassam Hammo

Since Specialization
Citations

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

Fields of papers citing papers by Bassam Hammo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bassam Hammo

This figure shows the co-authorship network connecting the top 25 collaborators of Bassam Hammo. A scholar is included among the top collaborators of Bassam Hammo 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 Bassam Hammo. Bassam Hammo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 2
3 0
4 6
5 0
6 1
7 0
8 1
9 3
10 2
11 16
12 1
13 5
14
Investigating the Readiness of College Students for ICT and Mobile Learning: A Case Study from King Saud University.
8
15 2
16 2
17 4
18 1
19
Towards software requirements extraction using natural language approach
3
20 25

About Bassam Hammo

Bassam Hammo is a scholar working on Artificial Intelligence, Information Systems and Health Information Management, having authored 57 papers that have together received 702 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Advanced Text Analysis Techniques (10 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (509 citations), Information Systems (198 citations) and Health Information Management (37 citations). Bassam Hammo has collaborated with scholars based in Jordan, United States and United Arab Emirates. Frequent co-authors include Steven L. Lytinen, Hossam Faris, Nadim Obeid, Hani Abu‐Salem, Mohammad A. M. Abushariah, Mahmoud El‐Haj, Sane Yagi, Raneem Qaddoura, Maria Habib and Ibrahim Aljarah. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

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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