Zainab Imtiaz

571 citations
7 papers · 337 indexed · 1 hit paper · h-index 4
Topics
Topic Modeling (2 papers)Text and Document Classification Technologies (2 papers)Artificial Intelligence in Healthcare (1 paper)

In The Last Decade

Zainab Imtiaz

6 papers receiving 315 citations

Hit Papers

Fake News Stance Detection Using Deep Learning Architectu...2020202620222024202050100150

Peers

Zainab Imtiaz
Comparison fields: 5 of 62
  • Artificial Intelligence 188
  • Information Systems 186
  • Sociology and Political Science 163
  • Signal Processing 79
  • Computer Vision and Pattern Recognition 23
Replace Pawan Kumar Verma with:
Pawan Kumar Verma India
Aliaksandr Barushka Czechia
Hui Yin China
Srishti Vashishtha India
Olga Papadopoulou Greece
J.I. Sheeba India
R Rajasree India
Michael Brennan United States
Ahmed Abbasi Pakistan
Pierre Laperdrix France
Zainab Imtiaz relative to Pawan Kumar Verma India Pawan Kumar Verma's profile →
Citations per field
00.5×
Pawan Kumar Verma · 1×
Citations per year

Countries citing papers authored by Zainab Imtiaz

Since Specialization
Citations

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

Fields of papers citing papers by Zainab Imtiaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zainab Imtiaz

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 16
3 1
4 82
5
Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM)breakdown →
198
6 39
7 1

About Zainab Imtiaz

Zainab Imtiaz is a scholar working on Health Information Management, Orthopedics and Sports Medicine and Artificial Intelligence, having authored 7 papers that have together received 337 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Text and Document Classification Technologies (2 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Information Systems (186 citations), Signal Processing (79 citations) and Artificial Intelligence (188 citations). Zainab Imtiaz has collaborated with scholars based in Pakistan, South Korea and United States. Frequent co-authors include Gyu Sang Choi, Arif Mehmood, Muhammad Umer, Saleem Ullah, Byung-Won On, Muhammad Ahmad, Michele Nappi, Carlo Maria Medaglia, Sadia Din and Furqan Rustam. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications and Work.

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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