Danial Javaheri

1.2k citations
30 papers · 803 · 1 hit paper · h-index 16

Impact in

Papers in

Danial Javaheri

28 papers receiving 779 citations

Danial Javaheri's Hit Papers

A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems 2023 · 96 citations
960+1+2Years since publication255075

Peers

Danial Javaheri
Comparison fields: 5 of 105
  • Computer Networks and Communications 398
  • Signal Processing 101
  • Information Systems 198
  • Health Informatics 11
  • Artificial Intelligence 228
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Bader Alouffi Saudi Arabia
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Countries citing papers authored by Danial Javaheri

Since Specialization
Citations

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

Fields of papers citing papers by Danial Javaheri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems
Hit paper breakdown →
202396
2 202374
3 202163
4 202258
5 202157
6 202257
7 201847
8 202341
9 202338
10 202334
11 202229
12 202227
13 202325
14 202125
15 202422
16 202122
17 202313
18 202312
19 202211
20 201710

About Danial Javaheri

Danial Javaheri is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 30 papers that have together received 803 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Cloud Computing and Resource Management (4 papers), Advanced Malware Detection Techniques (4 papers), Network Security and Intrusion Detection (4 papers), Blockchain Technology Applications and Security (3 papers), Anomaly Detection Techniques and Applications (2 papers), Air Quality Monitoring and Forecasting (2 papers) and UAV Applications and Optimization (2 papers). The work is most often cited by research in Computer Networks and Communications (398 citations), Signal Processing (101 citations), Information Systems (198 citations), Health Informatics (11 citations) and Artificial Intelligence (228 citations). Danial Javaheri has collaborated with scholars based in South Korea, Iran and Australia. Frequent co-authors include Jeong–A Lee, Saeid Gorgin, Pooia Lalbakhsh, Mohammad Masdari, Amir Masoud Rahmani, Mehdi Hosseinzadeh, Mehdi Hosseinzadeh, Shiva Toumaj, Arash Heidari and Mahsa Rezaei. Their work appears in journals such as IEEE Access, Sustainable Computing Informatics and Systems, Expert Systems with Applications, Artificial Intelligence in Medicine and Wireless Personal Communications.

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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