Paul Sant

38 papers receiving 566 citations

Peers

Paul Sant
Comparison fields: 5 of 79
  • Signal Processing 161
  • Information Systems 247
  • Media Technology 52
  • Computer Networks and Communications 125
  • Computer Vision and Pattern Recognition 105
Replace Debashis Das with:
Debashis Das India
Mohammed Shuaib Saudi Arabia
Erwin Adi Australia
Said El Kafhali Morocco
Muhammad Kamran Pakistan
Yichuan Wang China
Rahul Johari India
Suleman Khan Malaysia
Zhibo Zhang China
Piotr Juszczak United Kingdom
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Citations per field
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Debashis Das · 1×
Citations per year

Countries citing papers authored by Paul Sant

Since Specialization
Citations

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

Fields of papers citing papers by Paul Sant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013113
2 202288
3 202085
4 201357
5 201346
6 202227
7 201825
8 201717
9 201015
10 201314
11 201412
12 200511
13 201011
14 20168
15 20108
16 20167
17 20126
18 20045
19 20035
20 20205

About Paul Sant

Paul Sant is a scholar working on Information Systems, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 605 indexed citations. Recurring topics across this work include Digital and Cyber Forensics (5 papers), Distributed and Parallel Computing Systems (5 papers), Advanced Malware Detection Techniques (4 papers), Smart Grid Energy Management (4 papers), Algorithms and Data Compression (4 papers), Peer-to-Peer Network Technologies (3 papers), Wireless Body Area Networks (3 papers) and Energy Efficiency and Management (3 papers). The work is most often cited by research in Signal Processing (161 citations), Information Systems (247 citations), Media Technology (52 citations), Computer Networks and Communications (125 citations) and Computer Vision and Pattern Recognition (105 citations). Paul Sant has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Gregory Epiphaniou, Vitaly Schetinin, Rejwan Bin Sulaiman, Tahmina Ajmal, Masood Ur Rehman, Carsten Maple, Haiming Liu, Nik Bessis, Stelios Sotiriadis and Ben Allen. Their work appears in journals such as IET Information Security, Journal of Theoretical Biology, Theoretical Computer Science, IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology and SHILAP Revista de lepidopterología.

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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