Florence Tushabe

539 citations
15 papers · 262 indexed · h-index 5
Topics
User Authentication and Security Systems (4 papers)Biometric Identification and Security (4 papers)Forensic Fingerprint Detection Methods (3 papers)
Journals
Digital InvestigationInternational Journal of InfectionCLEF (Working Notes)
Partner nations
UgandaNetherlands

In The Last Decade

Florence Tushabe

13 papers receiving 226 citations

Peers

Florence Tushabe
Comparison fields: 5 of 81
  • Information Systems 145
  • Signal Processing 124
  • Computer Vision and Pattern Recognition 85
  • Artificial Intelligence 30
  • Control and Systems Engineering 18
Replace Venansius Baryamureeba with:
Venansius Baryamureeba Uganda
Tong Tang China
Muhammad Mehmood Pakistan
Sébastien Lafond Finland
Ngoc Tuyen Le Taiwan
Milutin Radonjić Montenegro
Saqib Rasool Chaudhry United Kingdom
Hussein Al-Bahadili Jordan
Florence Tushabe relative to Venansius Baryamureeba Uganda Venansius Baryamureeba's profile →
Citations per field
00.5×1.5×
Venansius Baryamureeba · 1×
Citations per year

Countries citing papers authored by Florence Tushabe

Since Specialization
Citations

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

Fields of papers citing papers by Florence Tushabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Tushabe

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 5
5 4
6 2
7 1
8 2
9 4
10
ADVANCES IN MULTILINGUAL AND MULTIMODAL INFORMATION RETRIEVAL
2
11
Content-based Image Retrieval Using Shape-Size Pattern Spectra.
1
12 3
13 3
14
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 8
100
15
The Enhanced Digital Investigation Process Model
133

About Florence Tushabe

Florence Tushabe is a scholar working on Signal Processing, Safety Research and Information Systems, having authored 15 papers that have together received 262 indexed citations. Recurring topics across this work include User Authentication and Security Systems (4 papers), Biometric Identification and Security (4 papers) and Forensic Fingerprint Detection Methods (3 papers). The work is most often cited by research in Signal Processing (124 citations), Information Systems (145 citations) and Computer Vision and Pattern Recognition (85 citations). Florence Tushabe has collaborated with scholars based in Uganda and Netherlands. Frequent co-authors include Venansius Baryamureeba and Michael H. F. Wilkinson. Their work appears in journals such as Digital Investigation, International Journal of Infection and CLEF (Working Notes).

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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