Süleyman Uslu

1.0k citations
10 papers · 475 · 1 hit paper · h-index 7

Impact in

Papers in

Süleyman Uslu

9 papers receiving 457 citations

Süleyman Uslu's Hit Papers

Trustworthy Artificial Intelligence: A Review 2022 · 376 citations
3760+1+2Years since publication100200300

Peers

Süleyman Uslu
Comparison fields: 5 of 90
  • Health Informatics 79
  • Safety Research 111
  • Artificial Intelligence 201
  • Computer Science Applications 25
  • Information Systems 68
Replace Davinder Kaur with:
Davinder Kaur United States
Mark Campbell United States
José Bobes-Bascarán Spain
Waddah Saeed United Kingdom
Jānis Grundspeņķis Latvia
Ruchi Doshi India
Kun Qian United States
Faiz Abdullah Alotaibi Saudi Arabia
Kai Heinrich Germany
Amandalynne Paullada United States
Süleyman Uslu relative to Davinder Kaur United States Davinder Kaur's profile →
Citations per field
00.5×
Davinder Kaur · 1×
Citations per year

Countries citing papers authored by Süleyman Uslu

Since Specialization
Citations

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

Fields of papers citing papers by Süleyman Uslu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Süleyman Uslu, 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 Süleyman Uslu Line = papers co-authored together Süleyman Uslu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Trustworthy Artificial Intelligence: A Review
Hit paper breakdown →
2022376
2 202030
3 201820
4 201818
5 202013
6 20228
7 20227
8 20162
9 20241
10 20230

About Süleyman Uslu

Süleyman Uslu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics and Health Informatics, having authored 10 papers that have together received 475 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), Adversarial Robustness in Machine Learning (2 papers), Blockchain Technology Applications and Security (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Privacy-Preserving Technologies in Data (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Health Informatics (79 citations), Safety Research (111 citations), Artificial Intelligence (201 citations), Computer Science Applications (25 citations) and Information Systems (68 citations). Süleyman Uslu has collaborated with scholars based in United States, Albania and Türkiye. Frequent co-authors include Arjan Durresi, Davinder Kaur, Yefeng Ruan, Mimoza Durrësi, Jenna H. Tilt, Meghna Babbar‐Sebens and Can Özturan. Their work appears in journals such as ACM Computing Surveys, Wireless Networks, Knowledge-Based Systems, Sensors and Applied Computing and Informatics.

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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