Heather E. Ford

42 papers receiving 1.6k citations

Peers

Heather E. Ford
Comparison fields: 5 of 160
  • Communication 243
  • Endocrine and Autonomic Systems 191
  • Nutrition and Dietetics 282
  • Physiology 328
  • Computer Science Applications 74
Replace Vincenzo Russo with:
Vincenzo Russo Italy
Catherine A. Brownstein United States
J. Quarterman United States
Paul Andrew Muller United States
Cynthia Jan Brame United States
Annette Adler United States
Alexa T. McCray United States
Ijaz A. Qureshi Canada
Peggy Gregory United Kingdom
Robert A Logan United States
Heather E. Ford relative to Vincenzo Russo Italy Vincenzo Russo's profile →
Citations per field
00.5×5×10.6×
Vincenzo Russo · 1×
Citations per year

Countries citing papers authored by Heather E. Ford

Since Specialization
Citations

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

Fields of papers citing papers by Heather E. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather E. Ford. 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 Heather E. Ford. The network helps show where Heather E. Ford may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019222
2 2010218
3 2011164
4 2017122
5 2009111
6 201896
7 199794
8 201689
9 199777
10 201267
11 201961
12 201857
13 201044
14 201435
15 201132
16 201532
17
Keeping Ottawa Honest—One Tweet at a Time? Politicians, Journalists, Wikipedians and Their Twitter Bots
201627
18 201323
19 201020
20 201619

About Heather E. Ford

Heather E. Ford is a scholar working on Communication, Computer Science Applications, Sociology and Political Science, Information Systems and Endocrine and Autonomic Systems, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Wikis in Education and Collaboration (16 papers), Social Media and Politics (9 papers), Digital Games and Media (6 papers), Web and Library Services (5 papers), Diet and metabolism studies (4 papers), Misinformation and Its Impacts (4 papers), Media Studies and Communication (4 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Communication (243 citations), Endocrine and Autonomic Systems (191 citations), Nutrition and Dietetics (282 citations), Physiology (328 citations) and Computer Science Applications (74 citations). Heather E. Ford has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Gary Steven Frost, Michelle Sleeth, Judy Wajcman, Sagen Zac‐Varghese, Emily L. Thompson, Stephen Robert Bloom, Jonathon P. Hutchinson, Elizabeth Dubois, Niamh M. Martin and Véronique Peters. Their work appears in journals such as Proceedings of The Nutrition Society, Big Data & Society, Social Media + Society, International Journal of Obesity and International journal of communication.

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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