Ann Macintosh

91 papers receiving 1.9k citations

Ann Macintosh's Hit Papers

Characterizing e-participation in policy-making 2004 · 569 citations
5690+7+14Years since publication100200300400500

Peers

Ann Macintosh
Comparison fields: 5 of 108
  • Communication 973
  • Public Administration 207
  • Political Science and International Relations 1.3k
  • Media Technology 334
  • Management Information Systems 233
Replace Justin M. Grimes with:
Justin M. Grimes United States
Soon Ae Chun United States
Jeremy Rose Denmark
Akemi Takeoka Chatfield Australia
Efthimios Tambouris Greece
Maria A. Wimmer Germany
Adegboyega Ojo Ireland
Frank Bannister Ireland
Enrico Ferro Italy
Ramzi El‐Haddadeh United Kingdom
Ann Macintosh relative to Justin M. Grimes United States Justin M. Grimes's profile →
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Citations per year

Countries citing papers authored by Ann Macintosh

Since Specialization
Citations

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

Fields of papers citing papers by Ann Macintosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Characterizing e-participation in policy-making
Hit paper breakdown →
2004569
2 2008219
3 2009121
4 200370
5 200467
6 200065
7 200363
8 200762
9 200255
10 200149
11 200340
12 199932
13 200232
14 200728
15 200928
16
Knowledge Asset Road Maps.
199827
17 201227
18 200426
19 200426
20
Proceedings of the 2006 international conference on Digital government research
200624

About Ann Macintosh

Ann Macintosh is a scholar working on Political Science and International Relations, Communication, Artificial Intelligence, Management Information Systems and Sociology and Political Science, having authored 94 papers that have together received 2.2k indexed citations. Recurring topics across this work include E-Government and Public Services (33 papers), Social Media and Politics (31 papers), Business Process Modeling and Analysis (15 papers), Internet Traffic Analysis and Secure E-voting (13 papers), Semantic Web and Ontologies (11 papers), Service-Oriented Architecture and Web Services (8 papers), Hate Speech and Cyberbullying Detection (6 papers) and Privacy, Security, and Data Protection (6 papers). The work is most often cited by research in Communication (973 citations), Public Administration (207 citations), Political Science and International Relations (1.3k citations), Media Technology (334 citations) and Management Information Systems (233 citations). Ann Macintosh has collaborated with scholars based in United Kingdom, Greece and Denmark. Frequent co-authors include Angus Whyte, John Kingston, Stephen Coleman, Anna Malina, Efthimios Tambouris, Frans Coenen, P.W.H. Chung, Jeremy Millard, Simon Smith and Peter Jarvis. Their work appears in journals such as Knowledge-Based Systems, Lecture notes in computer science, International Journal of Human-Computer Studies, Social Science Computer Review and Journal of Information Science.

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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