Sanjay Sharma

1.3k citations
20 papers · 639 · 1 hit paper · h-index 9

Impact in

Papers in

Sanjay Sharma

18 papers receiving 547 citations

Sanjay Sharma's Hit Papers

Algorithms of oppression: how search engines reinforce racism 2019 · 280 citations
2800+2+4Years since publication50100150200250

Peers

Sanjay Sharma
Comparison fields: 5 of 88
  • Communication 168
  • Gender Studies 87
  • Health Informatics 10
  • Music 21
  • Sociology and Political Science 292
Replace John Cheney-Lippold with:
John Cheney-Lippold United States
Blake Hallinan Israel
Soraj Hongladarom Thailand
Astrid Mager Austria
D. Bondy Valdovinos Kaye Australia
Kate Miltner United Kingdom
Robyn Caplan United States
Gréta Björk Guðmundsdóttir Norway
Mehmet Fatih Çömlekçi Türkiye
Gabriele de Seta Norway
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Citations per field
00.5×1.7×
John Cheney-Lippold · 1×
Citations per year

Countries citing papers authored by Sanjay Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Sanjay Sharma, 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 Sanjay Sharma Line = papers co-authored together Sanjay Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Algorithms of oppression: how search engines reinforce racism
Hit paper breakdown →
2019280
2 2013166
3 201854
4 201233
5 201831
6 200321
7 200610
8 200610
9 20009
10 20105
11 20005
12 20115
13 20113
14 20232
15 20092
16 20131
17 20081
18 20201
19 20230
20 20250

About Sanjay Sharma

Sanjay Sharma is a scholar working on Sociology and Political Science, Communication, Visual Arts and Performing Arts, Political Science and International Relations and Anthropology, having authored 20 papers that have together received 639 indexed citations. Recurring topics across this work include Social Media and Politics (3 papers), South Asian Cinema and Culture (3 papers), Critical Race Theory in Education (2 papers), Cinema and Media Studies (2 papers), Social and Cultural Dynamics (2 papers), Media Studies and Communication (2 papers), Global Security and Public Health (2 papers) and Neurology and Historical Studies (1 paper). The work is most often cited by research in Communication (168 citations), Gender Studies (87 citations), Health Informatics (10 citations), Music (21 citations) and Sociology and Political Science (292 citations). Sanjay Sharma has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Dhiraj Murthy, Nirmal Puwar, Ashwani Kumar Sharma and John Hutnyk. Their work appears in journals such as The Senses and Society, Theory Culture & Society, British Journal of Sociology, New Media & Society and South Asian Popular Culture.

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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