Talha Bin Sarwar

408 citations
18 papers · 206 indexed · 1 hit paper · h-index 7
Topics
Advanced Text Analysis Techniques (7 papers)Topic Modeling (4 papers)Artificial Intelligence in Healthcare (2 papers)

In The Last Decade

Talha Bin Sarwar

18 papers receiving 200 citations

Hit Papers

A multimodal approach to cross-lingual sentiment analysis...20242026202520241020304050

Peers

Talha Bin Sarwar
Comparison fields: 5 of 75
  • Artificial Intelligence 104
  • Health Information Management 42
  • Information Systems 24
  • Molecular Biology 13
  • Sociology and Political Science 13
Replace R. Sıva Subramanıan with:
R. Sıva Subramanıan India
Anees Baqir Italy
Sheak Rashed Haider Noori Bangladesh
Dhananjay Bisen India
A Prathik India
Nur Ghaniaviyanto Ramadhan Indonesia
Mateusz Lango Poland
Channabasava Chola India
Ravi Kumar Sachdeva India
Sultana Umme Habiba Bangladesh
Talha Bin Sarwar relative to R. Sıva Subramanıan India R. Sıva Subramanıan's profile →
Citations per field
00.5×3.3×
R. Sıva Subramanıan · 1×
Citations per year

Countries citing papers authored by Talha Bin Sarwar

Since Specialization
Citations

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

Fields of papers citing papers by Talha Bin Sarwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Talha Bin Sarwar. 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 Talha Bin Sarwar. The network helps show where Talha Bin Sarwar may publish in the future.

Co-authorship network of co-authors of Talha Bin Sarwar

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1
A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLMbreakdown →
56
2 1
3 6
4 3
5 5
6 4
7 11
8 3
9 1
10 8
11 4
12 14
13 68
14 6
15 2
16 3
17 8
18 3

About Talha Bin Sarwar

Talha Bin Sarwar is a scholar working on Health Information Management, Artificial Intelligence and Virology, having authored 18 papers that have together received 206 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (7 papers), Topic Modeling (4 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Information Management (42 citations), Health Informatics (5 citations) and Artificial Intelligence (104 citations). Talha Bin Sarwar has collaborated with scholars based in Malaysia, Bangladesh and Indonesia. Frequent co-authors include Md Saef Ullah Miah, Mejdl Safran, Md. Mohsin Kabir, Sultan Alfarhood, Rajan Jose, Kamal Z. Zamli, Md. Nafiul Alam Khan, Md. Shahjalal, Mohd Nizam Husen and Nur Ibrahim. Their work appears in journals such as Scientific Reports, IEEE Access and Applied Sciences.

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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