Paramvir Singh

1.7k citations
88 papers · 686 indexed · h-index 13

Paramvir Singh

79 papers receiving 663 citations

Peers

Paramvir Singh
Comparison fields: 5 of 114
  • Software 114
  • Signal Processing 206
  • Computer Networks and Communications 273
  • Information Systems 245
  • Computer Science Applications 44
Replace Yongji Wang with:
Yongji Wang China
Vineet Sinha India
Lei Bu China
Simone Scalabrino Italy
Hani Alshahrani Saudi Arabia
Manuel Clavel Spain
Russel Pears New Zealand
Yanyan Zhuang United States
Xiaoning Du China
Paramvir Singh relative to Yongji Wang China Yongji Wang's profile →
Citations per field
00.5×1.5×2.3×
Yongji Wang · 1×
Citations per year

Countries citing papers authored by Paramvir Singh

Since Specialization
Citations

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

Fields of papers citing papers by Paramvir Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20231
4 20231
5
Pelvic Congestion Syndrome
20211
6
Anatomy, Thorax, Heart Thebesian Veins
20212
7
Neuroanatomy, Periaqueductal Gray
202111
8
Anesthesia For Endovascular Therapy For Acute Ischemic Stroke In Adults
20210
9
Radicular Back Pain
20212
10 20211
11 202042
12
McKenzie Back Exercises
20203
13
Fibric Acid Antilipemic Agents
20191
14
Anatomy, Head and Neck, Foramen Lacerum
20192
15
Anatomy, Back, Vertebral Canal Blood Supply
20196
16
Pudendal Nerve Entrapment Syndrome
201912
17
Anatomy, Head and Neck, Salivary Glands
201913
18
Anatomy, Thorax, Heart Thebesian Veins (Veins of Thebesius, Vessels of Thebesius, Vasa Thebesii)
20190
19 20171
20 20075

About Paramvir Singh

Paramvir Singh is a scholar working on Software, Computer Science Applications and Information Systems, having authored 88 papers that have together received 686 indexed citations. Recurring topics across this work include Software Engineering Research (23 papers), Software System Performance and Reliability (14 papers), Software Engineering Techniques and Practices (12 papers), Software Reliability and Analysis Research (9 papers), Network Security and Intrusion Detection (7 papers), Software Testing and Debugging Techniques (7 papers), Advanced Malware Detection Techniques (7 papers) and Anesthesia and Pain Management (6 papers). The work is most often cited by research in Software (114 citations), Signal Processing (206 citations) and Computer Networks and Communications (273 citations). Paramvir Singh has collaborated with scholars based in India, United States and New Zealand. Frequent co-authors include Karanpreet Singh, Krishan Kumar, Arvind Mahindru, Tushar Sharma, Diomidis Spinellis, Kelly Blincoe, Jasmeen Kaur, Nathan Schmulewitz, Ashish Sureka and Deepti Pandita. Their work appears in journals such as Gastrointestinal Endoscopy, Journal of Systems and Software, Computers & Security, HPB Surgery and Otolaryngology.

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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