Umar Shoaib

907 citations
40 papers · 602 · h-index 14

Impact in

Papers in

    • Sentiment Analysis and Opinion Mining 3
    • Semantic Web and Ontologies 3
    • Natural Language Processing Techniques 3
    • Cloud Computing and Resource Management 5
    • Cloud Data Security Solutions 4
    • Spam and Phishing Detection 3

Umar Shoaib

33 papers receiving 573 citations

Peers

Umar Shoaib
Comparison fields: 5 of 100
  • Artificial Intelligence 262
  • Information Systems 177
  • Computer Networks and Communications 142
  • Medical Laboratory Technology 8
  • Human-Computer Interaction 27
Replace Divakar Yadav with:
Divakar Yadav India
Debabrata Samanta India
Rizwana Irfan Pakistan
Hoda K. Mohamed Egypt
Jinan Fiaidhi Canada
Siva Sai India
Mohammed Kayed Egypt
Mirza Omer Beg Pakistan
Krishna Kumar Mohbey India
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Citations per field
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Divakar Yadav · 1×
Citations per year

Countries citing papers authored by Umar Shoaib

Since Specialization
Citations

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

Fields of papers citing papers by Umar Shoaib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Umar Shoaib, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Umar Shoaib Line = papers co-authored together Umar Shoaib links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201682
2 202065
3 202264
4 202050
5 202148
6 202143
7 202042
8 202124
9 201622
10 201918
11 202117
12 201413
13 201313
14 201713
15 201810
16 201110
17 202110
18
Language Resources for Computer Assisted Translation from Italian to Italian Sign Language of Deaf People
20119
19 20168
20 20187

About Umar Shoaib

Umar Shoaib is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging and Human-Computer Interaction, having authored 40 papers that have together received 602 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), IoT and Edge/Fog Computing (4 papers), Hand Gesture Recognition Systems (4 papers), Cloud Data Security Solutions (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Semantic Web and Ontologies (3 papers), Spam and Phishing Detection (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (262 citations), Information Systems (177 citations), Computer Networks and Communications (142 citations), Medical Laboratory Technology (8 citations) and Human-Computer Interaction (27 citations). Umar Shoaib has collaborated with scholars based in Pakistan, Italy and Saudi Arabia. Frequent co-authors include Hafiz Tayyab Rauf, Saliha Zahoor, M. Ikram Ullah Lali, Ikram Ullah Lali, P. Prinetto, Misbah Liaqat, Sumbal Malik, Victor Chang, Usman Tariq and Abdullah Gani. Their work appears in journals such as Indian Journal of Science and Technology, Personal and Ubiquitous Computing, Applied Soft Computing, Future Internet and Scientific Reports.

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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