Mark Corner

806 citations
19 papers · 381 indexed · h-index 7

Impact in

Papers in

Mark Corner

17 papers receiving 360 citations

Peers

Mark Corner
Comparison fields: 5 of 49
  • Computer Science Applications 95
  • Computer Networks and Communications 225
  • Transportation 46
  • Computer Vision and Pattern Recognition 53
  • Electrical and Electronic Engineering 126
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Daniel T. Wagner United Kingdom
Ana Nika United States
Earl Oliver Canada
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Citations per field
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Citations per year

Countries citing papers authored by Mark Corner

Since Specialization
Citations

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

Fields of papers citing papers by Mark Corner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Mark Corner, 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 Mark Corner Line = papers co-authored together Mark Corner links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2006154
2 2009107
3 200523
4 201120
5 201017
6 200515
7
Liberating Exegesis: The Challenge of Liberation Theology to Biblical Studies
19899
8 20096
9
Signs of God: Miracles and Their Interpretation
20056
10 20125
11 20095
12 20064
13 20093
14 20122
15 20082
16 19881
17 20101
18 20141
19 20170

About Mark Corner

Mark Corner is a scholar working on Religious studies, Computer Networks and Communications, Computer Science Applications, Geography, Planning and Development and Transportation, having authored 19 papers that have together received 381 indexed citations. Recurring topics across this work include Caching and Content Delivery (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Christian Theology and Mission (3 papers), Video Surveillance and Tracking Methods (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Mobile Ad Hoc Networks (2 papers), Religion, Society, and Development (2 papers) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Computer Science Applications (95 citations), Computer Networks and Communications (225 citations), Transportation (46 citations), Computer Vision and Pattern Recognition (53 citations) and Electrical and Electronic Engineering (126 citations). Mark Corner has collaborated with scholars based in United States. Frequent co-authors include Brian Neil Levine, Wenrui Zhao, Deepak Ganesan, Ellen Zegura, Mostafa Ammar, Chen Yang, Ryan M. Holmes, Tingxin Yan, Prashant Shenoy and Xiaotao Liu. Their work appears in journals such as IEEE Pervasive Computing, IEEE Journal on Selected Areas in Communications, ACM Transactions on Multimedia Computing Communications and Applications, ACM SIGMOBILE Mobile Computing and Communications Review and Palgrave Macmillan UK eBooks.

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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