Shahzad Qaiser

1.2k citations
12 papers · 796 indexed · 1 hit paper · h-index 8
Topics
Energy, Environment, Economic Growth (3 papers)Sentiment Analysis and Opinion Mining (3 papers)Advanced Text Analysis Techniques (2 papers)
Partner nations
MalaysiaPakistanAustria

In The Last Decade

Shahzad Qaiser

12 papers receiving 745 citations

Hit Papers

Text Mining: Use of TF-IDF to Examine the Relevance of Wo...20182026202020232018100200300400

Peers

Shahzad Qaiser
Comparison fields: 5 of 107
  • Artificial Intelligence 333
  • Information Systems 196
  • Economics and Econometrics 166
  • Sociology and Political Science 142
  • Renewable Energy, Sustainability and the Environment 95
Replace Ramsha Ali with:
Ramsha Ali Pakistan
Emmanuel Ogiemwonyi Arakpogun United Kingdom
Christina Beneki Greece
Ming‐Yueh Tsay Taiwan
Nils C. Newman United States
Ninda Lutfiani Indonesia
Edwin Ramirez-Asís Peru
Mario Mezzanzanica Italy
Tahereh Saheb Iran
Faheem Aslam Pakistan
Shahzad Qaiser relative to Ramsha Ali Pakistan Ramsha Ali's profile →
Citations per field
00.5×1.5×
Ramsha Ali · 1×
Citations per year

Countries citing papers authored by Shahzad Qaiser

Since Specialization
Citations

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

Fields of papers citing papers by Shahzad Qaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahzad Qaiser

This figure shows the co-authorship network connecting the top 25 collaborators of Shahzad Qaiser. A scholar is included among the top collaborators of Shahzad Qaiser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shahzad Qaiser. Shahzad Qaiser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 3
2 6
3 6
4 103
5 43
6 20
7 5
8 62
9 15
10 42
11 8
12
Text Mining: Use of TF-IDF to Examine the Relevance of Words to Documentsbreakdown →
483

About Shahzad Qaiser

Shahzad Qaiser is a scholar working on Geriatrics and Gerontology, Information Systems and Information Systems and Management, having authored 12 papers that have together received 796 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (3 papers), Sentiment Analysis and Opinion Mining (3 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (333 citations), General Social Sciences (31 citations) and Information Systems (196 citations). Shahzad Qaiser has collaborated with scholars based in Malaysia, Pakistan and Austria. Frequent co-authors include Ramsha Ali, Muhammad Asif Qureshi, Syed Ali Raza, Nida Shah, Farhan Ahmed, Wasim Qazi, Jawaid Ahmed Qureshi, Noor Ahmed Brohi, Farzana Kabir Ahmad and Ammar Ahmed. Their work appears in journals such as Environmental Science and Pollution Research, Social Indicators Research and Technology in Society.

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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