Michael Pearce

845 citations
39 papers · 585 · h-index 12

Impact in

Papers in

Michael Pearce

34 papers receiving 524 citations

Peers

Michael Pearce
Comparison fields: 5 of 79
  • Library and Information Sciences 30
  • Linguistics and Language 61
  • Information Systems 187
  • Language and Linguistics 88
  • Computer Networks and Communications 177
Replace Fahad AlGhamdi with:
Fahad AlGhamdi Saudi Arabia
Madelaine Plauché United States
Christopher Hadnagy United States
Toshio Okamoto Japan
Daniel J. Ryan Australia
Serkan Çelık Türkiye
Said Hadjerrouit Norway
Cathie Norris United States
Shammur Absar Chowdhury Qatar
Samuel Cahyawijaya Hong Kong
Michael Pearce relative to Fahad AlGhamdi Saudi Arabia Fahad AlGhamdi's profile →
Citations per field
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Fahad AlGhamdi · 1×
Citations per year

Countries citing papers authored by Michael Pearce

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Michael Pearce, 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 Michael Pearce Line = papers co-authored together Michael Pearce links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013137
2 200880
3 200354
4 201450
5 199240
6 201039
7 200530
8 200729
9 200922
10 201915
11 200413
12 200112
13 20119
14 20156
15 20116
16 20105
17 20135
18 20123
19 20113
20 20173

About Michael Pearce

Michael Pearce is a scholar working on Computer Networks and Communications, Linguistics and Language, Language and Linguistics, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 585 indexed citations. Recurring topics across this work include Linguistic Variation and Morphology (10 papers), Lexicography and Language Studies (6 papers), Peer-to-Peer Network Technologies (5 papers), Caching and Content Delivery (4 papers), Mobile Ad Hoc Networks (4 papers), Linguistics, Language Diversity, and Identity (4 papers), Language, Discourse, Communication Strategies (3 papers) and Cooperative Communication and Network Coding (3 papers). The work is most often cited by research in Library and Information Sciences (30 citations), Linguistics and Language (61 citations), Information Systems (187 citations), Language and Linguistics (88 citations) and Computer Networks and Communications (177 citations). Michael Pearce has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Ray Hunt, Sherali Zeadally, Bogdan Cărbunar, Venu Vasudevan, Yang Yu, Weidong Shi, Sambasiva R. Bhatta, Ashok K. Goel, Sarah Williams and Sherali Zeadally. Their work appears in journals such as English Studies, Language and Literature International Journal of Stylistics, English Today, Journal of English Linguistics and IEEE Transactions on Parallel and Distributed Systems.

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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