Firoz Mahmud

589 citations
36 papers · 392 indexed · h-index 11
Topics
Face and Expression Recognition (11 papers)Face recognition and analysis (9 papers)Emotion and Mood Recognition (5 papers)
Journals
IEEE AccessJournal of American FolkloreGriffith Research Online (Griffith University, Queensland, Australia)

In The Last Decade

Firoz Mahmud

33 papers receiving 364 citations

Peers

Firoz Mahmud
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 186
  • Artificial Intelligence 84
  • Biomedical Engineering 70
  • Signal Processing 50
  • Experimental and Cognitive Psychology 50
Replace Samy Bakheet with:
Samy Bakheet Egypt
M. Rahmat Widyanto Indonesia
R. Raja Subramanian India
Thuong‐Cang Phan Vietnam
Hussam Tarazi United States
Shan Wu China
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Rohit Agarwal India
Moez Baccouche France
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Countries citing papers authored by Firoz Mahmud

Since Specialization
Citations

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

Fields of papers citing papers by Firoz Mahmud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Firoz Mahmud

This figure shows the co-authorship network connecting the top 25 collaborators of Firoz Mahmud. A scholar is included among the top collaborators of Firoz Mahmud 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 Firoz Mahmud. Firoz Mahmud 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
Comparison of Pain Control and Analgesic Consumption With or Without Infiltration of Bupivacaine at Port Sites after Laparoscopic Cholecystectomy.
0
2 3
3 1
4 7
5 8
6 12
7 5
8 7
9 8
10 15
11 10
12 26
13
Chi-Square Statistic and Principal Component Analysis Based Compressed Feature Selection Approach for Naïve Bayesian Classifier
1
14 30
15 11
16 9
17
A Novel Three-Phase Approach for Solving Multi-Depot Vehicle Routing Problem with Stochastic Demand
6
18 7
19
Folklore in context : essays in honor of Shamsuzzaman Khan
1
20
The museums in Bangladesh
1

About Firoz Mahmud

Firoz Mahmud is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Health Information Management, having authored 36 papers that have together received 392 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Face recognition and analysis (9 papers) and Emotion and Mood Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (186 citations), Signal Processing (50 citations) and Media Technology (35 citations). Firoz Mahmud has collaborated with scholars based in Bangladesh, Australia and Algeria. Frequent co-authors include G.W. Hastings, Abdul Matin, Boshir Ahmed, M.M. Zaman, Tanvir Ahmed, Md. Sabbir Ejaz, Abdur Rahim, Md. Al Mamun, M. G. Rasul and Ruhul Sarker. Their work appears in journals such as IEEE Access, Journal of American Folklore and Griffith Research Online (Griffith University, Queensland, Australia).

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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