Ayesha Butt

15 papers receiving 207 citations

Ayesha Butt's Hit Papers

Addressing the Digital Divide: Access and Use of Technology in Education 2023 · 79 citations
790+1+2Years since publication255075

Peers

Ayesha Butt
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 63
  • Computer Science Applications 16
  • Health Informatics 3
  • Artificial Intelligence 45
  • Information Systems 29
Replace Arsénio Reis with:
Arsénio Reis Portugal
Henrique Damasceno Vianna Brazil
Émilie Balland France
Bogdan Iancu Romania
Mahsa Mohaghegh New Zealand
Michael T. Curtis United States
Alina Trifan Portugal
Adriana Wilde United Kingdom
Priscila Cedillo Ecuador
Finn Thorbjørn Hansen Denmark
Ayesha Butt relative to Arsénio Reis Portugal Arsénio Reis's profile →
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Arsénio Reis · 1×
Citations per year

Countries citing papers authored by Ayesha Butt

Since Specialization
Citations

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

Fields of papers citing papers by Ayesha Butt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ayesha Butt, 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 Ayesha Butt Line = papers co-authored together Ayesha Butt links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Addressing the Digital Divide: Access and Use of Technology in Education
Hit paper breakdown →
202379
2 202263
3 201624
4 202223
5 20237
6 19935
7 20235
8 20232
9 20222
10 20162
11 20191
12 20181
13 20211
14 20221
15
A MULTIDISCIPLINE STUDENT TEACHING LABORATORY: INCORPORATION IN A SIMPLE BUILDING DESIGN.
19641
16 20220
17 20190

About Ayesha Butt

Ayesha Butt is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications, Literature and Literary Theory and Artificial Intelligence, having authored 17 papers that have together received 217 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (2 papers), Second Language Learning and Teaching (2 papers), Trauma and Emergency Care Studies (1 paper), Caching and Content Delivery (1 paper), Error Correcting Code Techniques (1 paper), Coding theory and cryptography (1 paper), Global Health Workforce Issues (1 paper) and Gait Recognition and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (63 citations), Computer Science Applications (16 citations), Health Informatics (3 citations), Artificial Intelligence (45 citations) and Information Systems (29 citations). Ayesha Butt has collaborated with scholars based in Pakistan, United Kingdom and United States. Frequent co-authors include Zahoor Ahmad, Saima Khan, Sanam Narejo, Ali Kashif Bashir, Zahid Mehmood, Farzana Kulsoom, Hassan Nazeer Chaudhry, Muhammad Rizwan Anjum, Kazi M. Jamil and Waseem Iqbal. Their work appears in journals such as Neural Computing and Applications, Wireless Personal Communications, Journal of Rehabilitation Medicine, Electronics Letters and SHILAP Revista de lepidopterología.

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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