Mark Lochrie

444 citations
45 papers · 252 · h-index 9

Impact in

Papers in

Mark Lochrie

41 papers receiving 230 citations

Peers

Mark Lochrie
Comparison fields: 5 of 64
  • Human-Computer Interaction 107
  • Communication 34
  • Management of Technology and Innovation 26
  • Computer Science Applications 20
  • Computer Vision and Pattern Recognition 52
Replace Craig M. MacDonald with:
Craig M. MacDonald United States
Lara S. G. Piccolo United Kingdom
Izdihar Jamil India
Debbie Stone United Kingdom
Axel Platz Germany
Ray Lc Hong Kong
Sarah-Kristin Thiel Austria
María Menéndez-Blanco Italy
Mouldi Sagar France
Sandrine Balbo Australia
Mark Lochrie relative to Craig M. MacDonald United States Craig M. MacDonald's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark Lochrie

Since Specialization
Citations

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

Fields of papers citing papers by Mark Lochrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Lochrie, 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 Lochrie Line = papers co-authored together Mark Lochrie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201437
2 201232
3 201120
4 201513
5 201012
6 201712
7 201511
8 201310
9 201210
10 20147
11
Tweeting with the telly on! : Mobile Phones as Second Screen for TV
20126
12 20196
13 20115
14 20145
15 20105
16 20165
17 20124
18 20144
19 20144
20 20144

About Mark Lochrie

Mark Lochrie is a scholar working on Human-Computer Interaction, Sociology and Political Science, Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 45 papers that have together received 252 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (12 papers), Digital Games and Media (10 papers), Augmented Reality Applications (7 papers), Multimedia Communication and Technology (6 papers), ICT in Developing Communities (5 papers), Interactive and Immersive Displays (5 papers), Educational Games and Gamification (5 papers) and Museums and Cultural Heritage (4 papers). The work is most often cited by research in Human-Computer Interaction (107 citations), Communication (34 citations), Management of Technology and Innovation (26 citations), Computer Science Applications (20 citations) and Computer Vision and Pattern Recognition (52 citations). Mark Lochrie has collaborated with scholars based in United Kingdom, Slovenia and Slovakia. Frequent co-authors include Paul Coulton, Bran Knowles, Klen Čopič Pucihar, Lynne Blair, Adrian Gradinar, Matjaž Kljun, John Mills, Jon Whittle, Markus Funk and Richard Smith. Their work appears in journals such as IT Professional, IEEE Pervasive Computing, International Journal of Ambient Computing and Intelligence, SHILAP Revista de lepidopterología and Lancaster EPrints (Lancaster University).

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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