Saba Bashir

2.3k citations
49 papers · 1.7k · h-index 24

Impact in

    • Artificial Intelligence in Healthcare
    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Imbalanced Data Classification Techniques
    • Machine Learning in Healthcare
    • Text and Document Classification Technologies
    • Topic Modeling

Papers in

    • Artificial Intelligence in Healthcare 14
    • Sentiment Analysis and Opinion Mining 12
    • Text and Document Classification Technologies 8
    • Imbalanced Data Classification Techniques 8
    • Advanced Text Analysis Techniques 8

Saba Bashir

45 papers receiving 1.6k citations

Peers

Saba Bashir
Comparison fields: 5 of 121
  • Health Information Management 584
  • Artificial Intelligence 1.1k
  • Medical Laboratory Technology 44
  • Information Systems 352
  • Health Informatics 15
Replace Mohamed Essam Khalifa with:
Mohamed Essam Khalifa Egypt
Francisca Nonyelum Ogwueleka Nigeria
Milan Petković Netherlands
Buzhou Tang China
Sudhir Dhage India
Tanvir Ahmad India
Neda Abdelhamid New Zealand
Mathias Kraus Germany
Sushil Kumar Shakyawar United States
Saba Bashir relative to Mohamed Essam Khalifa Egypt Mohamed Essam Khalifa's profile →
Citations per field
00.5×2×3×4×4.7×
Mohamed Essam Khalifa · 1×
Citations per year

Countries citing papers authored by Saba Bashir

Since Specialization
Citations

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

Fields of papers citing papers by Saba Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Saba Bashir, 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 Saba Bashir Line = papers co-authored together Saba Bashir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013253
2 2019139
3 2015120
4 201896
5 201579
6 201678
7 201574
8 201671
9 201864
10 202361
11 201460
12 201458
13 201657
14 201455
15 201643
16 201442
17 202236
18 202233
19 201533
20 202129

About Saba Bashir

Saba Bashir is a scholar working on Health Information Management, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (14 papers), Sentiment Analysis and Opinion Mining (12 papers), Text and Document Classification Technologies (8 papers), Imbalanced Data Classification Techniques (8 papers), Advanced Text Analysis Techniques (8 papers), Data Mining Algorithms and Applications (5 papers), Spam and Phishing Detection (5 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Information Management (584 citations), Artificial Intelligence (1.1k citations), Medical Laboratory Technology (44 citations), Information Systems (352 citations) and Health Informatics (15 citations). Saba Bashir has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Farhan Hassan Khan, Usman Qamar, Muhammad Younus Javed, Khurram Bashir, Abdulwahab Ali Almazroi, Eman Ali aldhahri, Mohammed Javed, Saman Ebadi, Abdulaleem Ali Almazroi and Muhammad Naeem Ashiq. Their work appears in journals such as IEEE Access, Quality & Quantity, Business & Information Systems Engineering, Arabian Journal for Science and Engineering and Pervasive and Mobile Computing.

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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