Noman Ashraf

552 citations
14 papers · 290 indexed · h-index 10
Topics
Hate Speech and Cyberbullying Detection (7 papers)Sentiment Analysis and Opinion Mining (4 papers)Spam and Phishing Detection (3 papers)

In The Last Decade

Noman Ashraf

14 papers receiving 280 citations

Peers

Noman Ashraf
Comparison fields: 5 of 39
  • Artificial Intelligence 244
  • Information Systems 47
  • Sociology and Political Science 29
  • Signal Processing 29
  • Social Psychology 24
Replace Véronique Moriceau with:
Véronique Moriceau France
Raquel Justo Spain
Ashraf Kamal India
Srinivas Pykl India
Jan Deriu Switzerland
Francisco Rangel Spain
Deepanshu Vijay India
Syed Sarfaraz Akhtar India
Vigneshwaran Muralidaran United Kingdom
Dimitra Gkatzia United Kingdom
Noman Ashraf relative to Véronique Moriceau France Véronique Moriceau's profile →
Citations per field
00.5×2.9×
Véronique Moriceau · 1×
Citations per year

Countries citing papers authored by Noman Ashraf

Since Specialization
Citations

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

Fields of papers citing papers by Noman Ashraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noman Ashraf

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 14
3 66
4 2
5 23
6 31
7
Sexism Identification using BERT and Data Augmentation - EXIST2021.
10
8
CIC at CheckThat! 2021: Fake News detection Using Machine Learning And Data Augmentation.
5
9 11
10 67
11 19
12 5
13 16
14 20

About Noman Ashraf

Noman Ashraf is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 14 papers that have together received 290 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (7 papers), Sentiment Analysis and Opinion Mining (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Artificial Intelligence (244 citations), Signal Processing (29 citations) and Information Systems (47 citations). Noman Ashraf has collaborated with scholars based in Mexico, Taiwan and United States. Frequent co-authors include Alexander Gelbukh, Hsien-Tsung Chang, Lal Khan, Ammar Amjad, Grigori Sidorov, Arkaitz Zubiaga, Maaz Amjad, Iqra Ameer, Hafiz Muhammad Faisal Shehzad and Nathalie Japkowicz. Their work appears in journals such as Scientific Reports, IEEE Access and Journal of Intelligent & Fuzzy Systems.

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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