Radhya Sahal

38 papers receiving 1.6k citations

Radhya Sahal's Hit Papers

Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities 2021 · 205 citations
2050+1+3Years since publication50100150200

Peers

Radhya Sahal
Comparison fields: 5 of 127
  • Health Informatics 43
  • Industrial and Manufacturing Engineering 284
  • Computer Networks and Communications 484
  • Health Information Management 77
  • Medical Laboratory Technology 24
Replace Syed Attique Shah with:
Syed Attique Shah Pakistan
Bahar Farahani Iran
Aparna Kumari India
Rukhsana Ruby China
Vicente García‐Díaz Spain
A. M. Rıad Egypt
John Soldatos Greece
Senthil Kumar Jagatheesaperumal United States
Antonio Celesti Italy
Norma Latif Fitriyani South Korea
Radhya Sahal relative to Syed Attique Shah Pakistan Syed Attique Shah's profile →
Citations per field
00.5×2.7×
Syed Attique Shah · 1×
Citations per year

Countries citing papers authored by Radhya Sahal

Since Specialization
Citations

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

Fields of papers citing papers by Radhya Sahal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019235
2
Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities
Hit paper breakdown →
2021205
3
Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model
Hit paper breakdown →
2021189
4 2021139
5 202296
6 202291
7 202188
8 202065
9 202262
10 202144
11 202342
12 202139
13 202136
14 202033
15 202131
16 202331
17 202123
18 202020
19 201618
20 201718

About Radhya Sahal

Radhya Sahal is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (13 papers), IoT and Edge/Fog Computing (12 papers), Graph Theory and Algorithms (7 papers), Caching and Content Delivery (6 papers), Digital Transformation in Industry (5 papers), Artificial Intelligence in Healthcare (4 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Informatics (43 citations), Industrial and Manufacturing Engineering (284 citations), Computer Networks and Communications (484 citations), Health Information Management (77 citations) and Medical Laboratory Technology (24 citations). Radhya Sahal has collaborated with scholars based in Yemen, Egypt and Ireland. Frequent co-authors include Saeed Hamood Alsamhi, John G. Breslin, Muhammad Intizar Ali, Kenneth N. Brown, Ammar Hawbani, Martín Serrano, Mohan Timilsina, Jahan Hassan, Mohsen Guizani and Fatma A. Omara. Their work appears in journals such as Complexity, Computational Intelligence and Neuroscience, Sensors, Applied Sciences and Big Data.

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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