Mariam Asad

910 citations
17 papers · 739 · h-index 11

Impact in

Papers in

Mariam Asad

17 papers receiving 727 citations

Peers

Mariam Asad
Comparison fields: 5 of 90
  • Human-Computer Interaction 361
  • Management of Technology and Innovation 151
  • Computer Science Applications 107
  • Communication 87
  • Transportation 69
Replace Christine Satchell with:
Christine Satchell Australia
Clara Crivellaro United Kingdom
Thomas Lodato United States
Vasillis Vlachokyriakos United Kingdom
Daisy Yoo United States
Vasilis Vlachokyriakos United Kingdom
Mark Bilandzic Australia
Hrönn Brynjarsdóttir United States
Maria Angela Ferrario United Kingdom
Matthias Korn United States
Mariam Asad relative to Christine Satchell Australia Christine Satchell's profile →
Citations per field
00.5×2.6×
Christine Satchell · 1×
Citations per year

Countries citing papers authored by Mariam Asad

Since Specialization
Citations

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

Fields of papers citing papers by Mariam Asad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Mariam Asad, 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 Mariam Asad Line = papers co-authored together Mariam Asad links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2015102
2 2015100
3 201993
4 201489
5 201681
6 201774
7 201748
8 201646
9 202231
10 201924
11 202319
12 20149
13 20189
14 20196
15 20154
16
Using Crowdsourcing to Prioritize Bicycle Network Improvements
20163
17 20201

About Mariam Asad

Mariam Asad is a scholar working on Human-Computer Interaction, Sociology and Political Science, Management of Technology and Innovation, Political Science and International Relations and Computer Science Applications, having authored 17 papers that have together received 739 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (11 papers), Information Systems Theories and Implementation (4 papers), Innovative Approaches in Technology and Social Development (4 papers), Green IT and Sustainability (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Transportation Planning and Optimization (2 papers), ICT in Developing Communities (2 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Human-Computer Interaction (361 citations), Management of Technology and Innovation (151 citations), Computer Science Applications (107 citations), Communication (87 citations) and Transportation (69 citations). Mariam Asad has collaborated with scholars based in United States and Denmark. Frequent co-authors include Christopher A. Le Dantec, Aditi Misra, Kari Watkins, Lynn Dombrowski, Sarah Fox, Jill Dimond, Shaowen Bardzell, Christine T. Wolf, Tom Jenkins and Carl DiSalvo. Their work appears in journals such as interactions, Proceedings of the ACM on Human-Computer Interaction, Media and Communication, Transportation Research Record Journal of the Transportation Research Board and IUScholarWorks (Indiana 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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