Erwin Adi

1.0k citations
20 papers · 775 · h-index 10

Impact in

Papers in

Erwin Adi

18 papers receiving 733 citations

Peers

Erwin Adi
Comparison fields: 5 of 93
  • Signal Processing 232
  • Computer Networks and Communications 386
  • Information Systems 263
  • Health Informatics 10
  • Artificial Intelligence 242
Replace Riyaz Ahamed Ariyaluran Habeeb with:
Riyaz Ahamed Ariyaluran Habeeb Malaysia
Thanassis Giannetsos Denmark
Niko Mäkitalo Finland
Shahriar Badsha United States
Hind Bangui Czechia
Mohammad Ali Jabraeil Jamali Iran
Mohammad Jabed Morshed Chowdhury Australia
Matthew O. Adigun South Africa
Spyros Panagiotakis Greece
Wenmin Lin China
Erwin Adi relative to Riyaz Ahamed Ariyaluran Habeeb Malaysia Riyaz Ahamed Ariyaluran Habeeb's profile →
Citations per field
00.5×8.7×
Riyaz Ahamed Ariyaluran Habeeb · 1×
Citations per year

Countries citing papers authored by Erwin Adi

Since Specialization
Citations

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

Fields of papers citing papers by Erwin Adi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Erwin Adi, 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 Erwin Adi Line = papers co-authored together Erwin Adi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2020200
2 2020200
3 2018123
4 201855
5 201737
6 201236
7 201527
8 201627
9 201224
10 202115
11 20188
12 20224
13 20214
14 20124
15 20103
16
Denial-of-service attack modelling and detection for HTTP/2 services
20173
17
Analysis of Expected and Actual Waiting Time in Fast Food Restaurants
20122
18 20102
19 20101
20 20230

About Erwin Adi

Erwin Adi is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Sociology and Political Science, having authored 20 papers that have together received 775 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (7 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Web Application Security Vulnerabilities (2 papers), Security and Verification in Computing (2 papers), Sustainable Supply Chain Management (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Context-Aware Activity Recognition Systems (1 paper). The work is most often cited by research in Signal Processing (232 citations), Computer Networks and Communications (386 citations), Information Systems (263 citations), Health Informatics (10 citations) and Artificial Intelligence (242 citations). Erwin Adi has collaborated with scholars based in Australia, Indonesia and United States. Frequent co-authors include Zubair Baig, Sherali Zeadally, Adnan Anwar, Jiankun Hu, Nour Moustafa, Benjamin Turnbull, Philip Hingston, Craig Valli, Song Wang and Wencheng Yang. Their work appears in journals such as IEEE Access, Australasian Journal of Paramedicine, Neural Computing and Applications, Journal of Information Technology Education Research and Journal of Network and Computer Applications.

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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