Imran Awan

2.5k citations
57 papers · 1.5k · 1 hit paper · h-index 16

Impact in

Papers in

Imran Awan

49 papers receiving 1.4k citations

Imran Awan's Hit Papers

Leukocyte count and coronary heart disease 2004 · 513 citations
5130+7+14Years since publication100200300400500

Peers

Imran Awan
Comparison fields: 5 of 135
  • Communication 208
  • Sociology and Political Science 610
  • Artificial Intelligence 258
  • Gender Studies 67
  • Political Science and International Relations 156
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Mary Lynn Young United States
John J. White United States
Brad Love United States
Wei Hua China
James R. Rogers United States
Einar Thorsen Norway
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Linda Bradley United States
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Citations per year

Countries citing papers authored by Imran Awan

Since Specialization
Citations

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

Fields of papers citing papers by Imran Awan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Imran Awan, 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 Imran Awan Line = papers co-authored together Imran Awan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Leukocyte count and coronary heart disease
Hit paper breakdown →
2004513
2 2014138
3
Influenza and cardiovascular disease: is there a causal relationship?
2004128
4 2017115
5 201294
6 201680
7 201666
8 201542
9 201636
10 200532
11 201522
12 201621
13 201716
14 201816
15 201715
16 201215
17 202114
18 201614
19 201812
20
Islamophobia in Cyberspace: Hate Crimes Go Viral
201612

About Imran Awan

Imran Awan is a scholar working on Sociology and Political Science, Artificial Intelligence, Political Science and International Relations, Education and Communication, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Terrorism, Counterterrorism, and Political Violence (37 papers), Hate Speech and Cyberbullying Detection (14 papers), Migration, Refugees, and Integration (6 papers), Social Media and Politics (5 papers), Education and Islamic Studies (5 papers), Crime Patterns and Interventions (4 papers), Political Conflict and Governance (3 papers) and Media, Religion, Digital Communication (3 papers). The work is most often cited by research in Communication (208 citations), Sociology and Political Science (610 citations), Artificial Intelligence (258 citations), Gender Studies (67 citations) and Political Science and International Relations (156 citations). Imran Awan has collaborated with scholars based in United Kingdom, United States and Slovenia. Frequent co-authors include Mohammad Madjid, S. Ward Casscells, James T. Willerson, Irene Zempi, Silvio Litovsky, Charlotte Barlow, Tahir Abbas, Ward Casscells, Muzammil Ali and Lorraine Frazier. Their work appears in journals such as Ethnic and Racial Studies, Journal of Muslim Minority Affairs, The Police Journal Theory Practice and Principles, Identities and 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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