Jagdev Bhogal

633 citations
18 papers · 376 indexed · h-index 7

Impact in

    • Information Retrieval and Search Behavior
    • Web Data Mining and Analysis
    • Semantic Web and Ontologies
    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques

Papers in

Jagdev Bhogal

18 papers receiving 338 citations

Peers

Jagdev Bhogal
Comparison fields: 5 of 59
  • Information Systems 176
  • Artificial Intelligence 251
  • Signal Processing 57
  • Information Systems and Management 17
  • Computer Networks and Communications 54
Replace Tieke He with:
Tieke He China
Christian Kohlschütter Germany
Edward Benson United States
Renato Fileto Brazil
Ioan Toma Austria
Anna Tordai Netherlands
Thanh Tran Germany
Stefano Montanelli Italy
Emaad Manzoor United States
Tiziano Fagni Italy
Jagdev Bhogal relative to Tieke He China Tieke He's profile →
Citations per field
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Tieke He · 1×
Citations per year

Countries citing papers authored by Jagdev Bhogal

Since Specialization
Citations

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

Fields of papers citing papers by Jagdev Bhogal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20232
2 20235
3 20234
4 20222
5 20222
6 20212
7 202113
8 202012
9 201911
10 20193
11 20152
12 201535
13 20143
14 201411
15 20141
16 201419
17 20132
18 2006247

About Jagdev Bhogal

Jagdev Bhogal is a scholar working on Artificial Intelligence, Information Systems and Management, Information Systems, General Social Sciences and Signal Processing, having authored 18 papers that have together received 376 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (7 papers), Topic Modeling (4 papers), Semantic Web and Ontologies (4 papers), Complex Network Analysis Techniques (3 papers), Web Data Mining and Analysis (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Advanced Database Systems and Queries (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Information Systems (176 citations), Artificial Intelligence (251 citations), Signal Processing (57 citations), Information Systems and Management (17 citations) and Computer Networks and Communications (54 citations). Jagdev Bhogal has collaborated with scholars based in United Kingdom, Egypt and Malaysia. Frequent co-authors include Andy MacFarlane, Pete Smith, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Adam Smith, Philip Moore, William M. Campbell, AbdulRahman A. Alsewari, Mohammed A. H. Ali and Shadi Basurra. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Information Sciences, Information Processing & Management, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery and Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics.

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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