Sohail Saif

433 citations
18 papers · 179 · h-index 8

Impact in

Papers in

Sohail Saif

17 papers receiving 174 citations

Peers

Sohail Saif
Comparison fields: 5 of 43
  • Computer Networks and Communications 117
  • Signal Processing 41
  • Artificial Intelligence 65
  • Health Informatics 2
  • Information Systems 35
Replace Renan C. A. Alves with:
Renan C. A. Alves Brazil
Marco Tiloca Sweden
Ashfaq Hussain Farooqi Pakistan
Anwar Hithnawi Switzerland
Kan Yu China
Bruno P. S. Rocha Brazil
Marcus de Ree United Kingdom
Mohamed Elhoucine Elhdhili Tunisia
Lin-Huang Chang Taiwan
Hanno Wirtz Germany
Sohail Saif relative to Renan C. A. Alves Brazil Renan C. A. Alves's profile →
Citations per field
00.5×3.8×
Renan C. A. Alves · 1×
Citations per year

Countries citing papers authored by Sohail Saif

Since Specialization
Citations

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

Fields of papers citing papers by Sohail Saif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Sohail Saif, 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 Sohail Saif Line = papers co-authored together Sohail Saif links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202267
2 202324
3 202216
4 202111
5 202110
6 20249
7 20238
8 20197
9 20236
10 20185
11 20214
12 20243
13 20252
14 20212
15 20242
16 20212
17 20211
18 20250

About Sohail Saif

Sohail Saif is a scholar working on Computer Networks and Communications, Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 18 papers that have together received 179 indexed citations. Recurring topics across this work include Wireless Body Area Networks (11 papers), IoT and Edge/Fog Computing (6 papers), Molecular Communication and Nanonetworks (4 papers), Network Security and Intrusion Detection (4 papers), Context-Aware Activity Recognition Systems (3 papers), Security in Wireless Sensor Networks (3 papers), Energy Efficient Wireless Sensor Networks (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Computer Networks and Communications (117 citations), Signal Processing (41 citations), Artificial Intelligence (65 citations), Health Informatics (2 citations) and Information Systems (35 citations). Sohail Saif has collaborated with scholars based in India, Iran and Saudi Arabia. Frequent co-authors include Suparna Biswas, Manju Khari, Vimal Shanmuganathan, Sarmistha Neogy, Ramesh Saha, Priya Das, Mohd Anul Haq, Viacheslav Kovtun, R. Gupta and Debasis Giri. Their work appears in journals such as Wireless Personal Communications, Heliyon, International Journal of Wireless Information Networks, SN Computer Science and International Journal of Advanced Intelligence Paradigms.

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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