Talha Bin Masood

570 citations
27 papers · 354 indexed · h-index 8
Topics
Topological and Geometric Data Analysis (16 papers)Data Visualization and Analytics (12 papers)Cell Image Analysis Techniques (4 papers)
Partner nations
SwedenIndiaGermany

In The Last Decade

Talha Bin Masood

23 papers receiving 347 citations

Peers

Talha Bin Masood
Comparison fields: 5 of 82
  • Materials Chemistry 144
  • Computer Vision and Pattern Recognition 80
  • Computational Theory and Mathematics 78
  • Molecular Biology 61
  • Inorganic Chemistry 49
Replace Xiangyu Jia with:
Xiangyu Jia China
Junta Doi Japan
Emerson G. Escolar Japan
Norman W. Johnson United States
Adrià Pérez Spain
Stefano Martiniani United States
Михаил Иванович Штогрин Russia
Mohammad Rashidi Canada
Takayuki Tsukamoto Japan
Maksim Rakitin United States
Talha Bin Masood relative to Xiangyu Jia China Xiangyu Jia's profile →
Citations per field
00.5×5.7×
Xiangyu Jia · 1×
Citations per year

Countries citing papers authored by Talha Bin Masood

Since Specialization
Citations

This map shows the geographic impact of Talha Bin Masood'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 Masood 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 Masood more than expected).

Fields of papers citing papers by Talha Bin Masood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 5
5 28
6 1
7 2
8 2
9 11
10 5
11 11
12 2
13 127
14 38
15 3
16 1
17 1
18 63
19 4
20 5

About Talha Bin Masood

Talha Bin Masood is a scholar working on Biophysics, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 27 papers that have together received 354 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (16 papers), Data Visualization and Analytics (12 papers) and Cell Image Analysis Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (20 citations), Computational Theory and Mathematics (78 citations) and Biophysics (27 citations). Talha Bin Masood has collaborated with scholars based in Sweden, India and Germany. Frequent co-authors include Vijay Natarajan, Ingrid Hotz, Sankaran Sandhya, Nagasuma Chandra, Igor A. Abrikosov, Leonid Dubrovinsky, Natalia Dubrovinskaia, Dominique Laniel, Konstantin Glazyrin and Michael Hanfland. Their work appears in journals such as Physical Review Letters, Nature Chemistry and BMC Bioinformatics.

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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