Mark Newman

5.3k citations
134 papers · 4.2k · 1 hit paper · h-index 34

Impact in

Papers in

Mark Newman

126 papers receiving 4k citations

Mark Newman's Hit Papers

It's not that i don't have problems, i'm just not putting them on facebook 2011 · 340 citations
3400+5+10Years since publication100200300

Peers

Mark Newman
Comparison fields: 5 of 122
  • Human-Computer Interaction 2k
  • Software 121
  • Computer Vision and Pattern Recognition 545
  • Information Systems 517
  • Human Factors and Ergonomics 84
Replace Jeff Sauro with:
Jeff Sauro United States
Panos Markopoulos Netherlands
Karen Holtzblatt Germany
James T. Miller Canada
Martin Schrepp Germany
Hugh R. Beyer United States
STEPHEN W. DRAPER United Kingdom
Khai Nhut Truong Canada
Harald Reiterer Germany
Nigel Bevan United Kingdom
Mark Newman relative to Jeff Sauro United States Jeff Sauro's profile →
Citations per field
00.5×1.5×2.1×
Jeff Sauro · 1×
Citations per year

Countries citing papers authored by Mark Newman

Since Specialization
Citations

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

Fields of papers citing papers by Mark Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1
It's not that i don't have problems, i'm just not putting them on facebook
Hit paper breakdown →
2011340
2 2000230
3 2013223
4 2001173
5 2000168
6 2006158
7 2008150
8 2003145
9 2005126
10 200298
11 201598
12 200288
13 200887
14 201486
15 201279
16 200677
17 201071
18 201067
19 201667
20 201966

About Mark Newman

Mark Newman is a scholar working on Human-Computer Interaction, General Health Professions, Computer Vision and Pattern Recognition, Occupational Therapy and Information Systems, having authored 134 papers that have together received 4.2k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (43 papers), Usability and User Interface Design (34 papers), Interactive and Immersive Displays (27 papers), Mobile Health and mHealth Applications (19 papers), Context-Aware Activity Recognition Systems (13 papers), IoT-based Smart Home Systems (8 papers), Race, History, and American Society (7 papers) and Data Visualization and Analytics (7 papers). The work is most often cited by research in Human-Computer Interaction (2k citations), Software (121 citations), Computer Vision and Pattern Recognition (545 citations), Information Systems (517 citations) and Human Factors and Ergonomics (84 citations). Mark Newman has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Rayoung Yang, James A. Landay, W. Keith Edwards, Jason Hong, James Wuh Lin, Nicolas Ducheneaut, Paul J. Resnick, Sean A. Munson, Debra Lauterbach and Rebecca E. Grinter. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Journal of American History, IEEE Pervasive Computing, International Journal of Human-Computer Studies and Journal of the American Heart Association.

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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