S. B. Goyal

2.2k citations
122 papers · 871 · h-index 17

Impact in

Papers in

S. B. Goyal

111 papers receiving 814 citations

Peers

S. B. Goyal
Comparison fields: 5 of 101
  • Computer Networks and Communications 322
  • Information Systems 239
  • Health Informatics 7
  • Signal Processing 51
  • Industrial and Manufacturing Engineering 47
Replace Izzatdin Abdul Aziz with:
Izzatdin Abdul Aziz Malaysia
Hangbae Chang South Korea
Anand Singh Rajawat India
Domenico Santaniello Italy
Fayez Alqahtani Saudi Arabia
Wenmin Lin China
Matthew O. Adigun South Africa
Abdelzahir Abdelmaboud Saudi Arabia
Håkan Grahn Sweden
Youakim Badr France
S. B. Goyal relative to Izzatdin Abdul Aziz Malaysia Izzatdin Abdul Aziz's profile →
Citations per field
00.5×1.5×2.3×
Izzatdin Abdul Aziz · 1×
Citations per year

Countries citing papers authored by S. B. Goyal

Since Specialization
Citations

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

Fields of papers citing papers by S. B. Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. B. Goyal. 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 S. B. Goyal. The network helps show where S. B. Goyal may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202252
2 202233
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9 202123
10 202122
11 202321
12 202219
13 202219
14 202118
15 202117
16 202216
17 202116
18 202316
19 202215
20 202215

About S. B. Goyal

S. B. Goyal is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 122 papers that have together received 871 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (35 papers), IoT and Edge/Fog Computing (30 papers), Energy Efficient Wireless Sensor Networks (7 papers), Internet of Things and AI (7 papers), Molecular Communication and Nanonetworks (6 papers), Anomaly Detection Techniques and Applications (6 papers), Network Security and Intrusion Detection (5 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Networks and Communications (322 citations), Information Systems (239 citations), Health Informatics (7 citations), Signal Processing (51 citations) and Industrial and Manufacturing Engineering (47 citations). S. B. Goyal has collaborated with scholars based in Malaysia, India and Romania. Frequent co-authors include Anand Singh Rajawat, Pradeep Bedi, Chaman Verma, Traian Candin Mihălţan, Maria Simona Raboacă, Piyush Kumar Shukla, Manoj Kumar, Sajjad Shaukat Jamal, George Suciu and Călin Ovidiu Safirescu. Their work appears in journals such as Energies, IEEE Access, Sustainable Energy Technologies and Assessments, Transactions on Emerging Telecommunications Technologies and Computational Intelligence and Neuroscience.

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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