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Researcher · DHA Suffa University · Pakistan

Khubaib Ahmed Qureshi

Khubaib Ahmed Qureshi publishes mostly in Computer Networks and Communications, Information Systems and Artificial Intelligence, on topics such as Spam and Phishing Detection, Misinformation and Its Impacts and Sentiment Analysis and Opinion Mining.

ORCID 0000-0002-7660-8886 OpenAlex
World rank
#2,350,008
of 7,710,434 ranked researchers
Rank in Pakistan
#8,003
of 32,975
Works
17
Citations
236
Citations per work
13.9
h-index
6
i10-index 5Top 77% in Computer Networks and Communications
Khubaib Ahmed Qureshi

What does Khubaib Ahmed Qureshi research?

Khubaib Ahmed Qureshi's work is mostly in Computer Science (60%), Social Sciences (15%), Business, Management and Accounting (4%).

Physical Sciences: 10 works · 59.5% of their workComputer Science: 10 works · 59.5% of their workComputer Networks and Communications: 4 works · 25.5% of their workInformation Systems: 3 works · 19.1% of their workArtificial Intelligence: 3 works · 14.9% of their workSocial Sciences: 4 works · 23.5% of their workSocial Sciences: 3 works · 14.9% of their workSociology and Political Science: 3 works · 14.9% of their workBusiness, Management and Accounting: 1 works · 4.3% of their workManagement Information Systems: 1 works · 4.3% of their workPsychology: 1 works · 4.3% of their workSocial Psychology: 1 works · 4.3% of their workEverything else: 3 works · 17.0% of their workTHEIR WORKKhubaib AhmedQureshi17works
Physical Sciences60%Social Sciences24%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1059.5%
    1. Social Sciences314.9%
    2. Business, Management and Accounting14.3%
    3. Psychology14.3%
  3. Everything else317.0%
  1. 1Computer Networks and Communications26% of their works
  2. 2Information Systems19% of their works
  3. 3Artificial Intelligence15% of their works
  4. 4Sociology and Political Science15% of their works
  5. 5Social Psychology4% of their works
  6. 6Management Information Systems4% of their works

Research topics

Which keywords describe Khubaib Ahmed Qureshi's research?

The keywords of their largest research topics: Machine Learning, Social Media, Fake News, Misinformation, Phishing, Spam Detection, Deep Learning and Opinion Mining.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Machine Learning123 topics
  2. Social Media102 topics
  3. Fake News71 topic
  4. Misinformation71 topic
  5. Phishing71 topic
  6. Spam Detection71 topic
  7. Deep Learning52 topics
  8. Opinion Mining31 topic
  9. Sentiment Analysis31 topic
  10. Caching21 topic
  11. Delay-Tolerant Networks21 topic
  12. Information-Centric Networking21 topic
  13. Intrusion Detection21 topic
  14. Mobile Ad Hoc Networks21 topic
  15. Mobile Agents21 topic
  16. Network Management21 topic
  17. Network Security21 topic
  18. QoS-Aware Middleware21 topic
  19. Semantic Web Services21 topic

Where does Khubaib Ahmed Qureshi work?

Khubaib Ahmed Qureshi's main affiliation in the publication record is DHA Suffa University, Pakistan.

How many publications and citations does Khubaib Ahmed Qureshi have?

OpenAlex counts 17 works and 236 citations for Khubaib Ahmed Qureshi, an h-index of 6, ranking #2,350,008 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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