Maryam Bashir

658 citations
23 papers · 424 · 1 hit paper · h-index 9

Impact in

Papers in

    • Sentiment Analysis and Opinion Mining 4
    • Text and Document Classification Technologies 3
    • Metaheuristic Optimization Algorithms Research 3
    • Topic Modeling 3
    • Evolutionary Algorithms and Applications 2
    • Spam and Phishing Detection 3

Maryam Bashir

19 papers receiving 403 citations

Maryam Bashir's Hit Papers

Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models 2021 · 125 citations
1250+1+3Years since publication4080120

Peers

Maryam Bashir
Comparison fields: 5 of 84
  • Computer Science Applications 112
  • Ocean Engineering 102
  • Computer Networks and Communications 133
  • Health Information Management 21
  • Artificial Intelligence 134
Replace Bo Jiang with:
Bo Jiang China
Muzammil Khan Pakistan
Xinyu Jin China
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Entao Luo China
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Maryam Bashir relative to Bo Jiang China Bo Jiang's profile →
Citations per field
00.5×6.8×
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Citations per year

Countries citing papers authored by Maryam Bashir

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Maryam 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 Maryam Bashir Line = papers co-authored together Maryam Bashir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013154
2
Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models
Hit paper breakdown →
2021125
3 202224
4 202223
5 201821
6 202319
7 202111
8 20249
9 20138
10 20208
11 20246
12 20135
13 20203
14 20222
15 20231
16 20241
17 20211
18 20201
19 20241
20 20191

About Maryam Bashir

Maryam Bashir is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Molecular Biology, having authored 23 papers that have together received 424 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Spam and Phishing Detection (3 papers), Text and Document Classification Technologies (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Topic Modeling (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Evolutionary Algorithms and Applications (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Computer Science Applications (112 citations), Ocean Engineering (102 citations), Computer Networks and Communications (133 citations), Health Information Management (21 citations) and Artificial Intelligence (134 citations). Maryam Bashir has collaborated with scholars based in Pakistan, United States and Sweden. Frequent co-authors include Nabil Alrajeh, Bilal Shams, Irfan Younas, Muhammad Adnan, Asad Habib, Мuhammad Abid, Shafaq Mussadiq, Sana Ullah Khan, Khurram Shahzad and Johan Schubert. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, PLoS ONE, Transactions on Emerging Telecommunications Technologies and Computers in Biology and Medicine.

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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