Abbas Acar

2.1k citations
26 papers · 1.0k indexed · 2 hit papers · h-index 11

Abbas Acar

25 papers receiving 1.0k citations

Hit Papers

A Survey...132018202620202023200400600

Peers

Abbas Acar
Comparison fields: 5 of 75
  • Artificial Intelligence 667
  • Health Informatics 24
  • Signal Processing 160
  • Information Systems 327
  • Computer Networks and Communications 253
Replace M.A.P. Chamikara with:
M.A.P. Chamikara Australia
Vladimir Vlassov Sweden
Yixin Liu United States
Le Trieu Phong Japan
Yingxia Shao China
Yupeng Zhang United States
Jeff Rasley United States
Yichuan Wang China
Kaidi Xu United States
Stacey Truex United States
Abbas Acar relative to M.A.P. Chamikara Australia M.A.P. Chamikara's profile →
Citations per field
00.5×4.9×
M.A.P. Chamikara · 1×
Citations per year

Countries citing papers authored by Abbas Acar

Since Specialization
Citations

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

Fields of papers citing papers by Abbas Acar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Abbas Acar, 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 Abbas Acar Line = papers co-authored together Abbas Acar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2
A Survey on Decentralized Identifiers and Verifiable Credentialsbreakdown →
202513
3 20242
4 20241
5 20241
6 20242
7 20247
8 20236
9 20237
10 202321
11 202257
12 20214
13 202020
14 202036
15 201910
16
Multi-User Multi-Device-Aware Access Control System for Smart Home.
20192
17 20192
18 20191
19
A Survey on Homomorphic Encryption Schemesbreakdown →
2018727
20 201868

About Abbas Acar

Abbas Acar is a scholar working on Signal Processing, Information Systems, Computer Networks and Communications, Human-Computer Interaction and Software, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), User Authentication and Security Systems (5 papers), Network Security and Intrusion Detection (4 papers), Biometric Identification and Security (3 papers), Advanced Authentication Protocols Security (3 papers), Digital and Cyber Forensics (3 papers), Spam and Phishing Detection (2 papers) and Smart Grid Security and Resilience (2 papers). The work is most often cited by research in Artificial Intelligence (667 citations), Health Informatics (24 citations), Signal Processing (160 citations), Information Systems (327 citations) and Computer Networks and Communications (253 citations). Abbas Acar has collaborated with scholars based in United States, Italy and Türkiye. Frequent co-authors include A. Selcuk Uluagac, Hidayet Aksu, Mauro Conti, Ahmet Arış, Amit Kumar Sikder, Kemal Akkaya, Vehbi Çağrı Güngör, Selcuk Uluagac, Leonardo Babun and Engin Kirda. Their work appears in journals such as IEEE Security & Privacy, ACM Transactions on the Web, IEEE Transactions on Mobile Computing, Ad Hoc Networks and IEEE Communications Surveys & Tutorials.

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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