Daniel Jackson

4.5k citations
98 papers · 2.0k · h-index 23

Impact in

  • Software top 1%
    • Software Testing and Debugging Techniques
    • Model-Driven Software Engineering Techniques
    • Social Media and Politics
    • Media Studies and Communication

Papers in

    • Social Media and Politics 24
    • Media Studies and Communication 22
    • Public Relations and Crisis Communication 8
    • Logic, programming, and type systems 15
    • Advanced Software Engineering Methodologies 12

Daniel Jackson

92 papers receiving 1.8k citations

Peers

Daniel Jackson
Comparison fields: 5 of 103
  • Software 430
  • Communication 567
  • Information Systems 581
  • Artificial Intelligence 727
  • Computational Theory and Mathematics 242
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005253
2 2014181
3 200189
4 199679
5 200575
6 201567
7 202164
8 200957
9 200648
10 201646
11 201845
12
EU Referendum Analysis 2016: Media, Voters and the Campaign.
201645
13 201945
14 202139
15 201739
16 201137
17 201833
18 201533
19 201032
20 200231

About Daniel Jackson

Daniel Jackson is a scholar working on Communication, Artificial Intelligence, Sociology and Political Science, Computational Theory and Mathematics and Gender Studies, having authored 98 papers that have together received 2.0k indexed citations. Recurring topics across this work include Social Media and Politics (24 papers), Media Studies and Communication (22 papers), Formal Methods in Verification (15 papers), Logic, programming, and type systems (15 papers), Advanced Software Engineering Methodologies (12 papers), Public Relations and Crisis Communication (8 papers), Sport and Mega-Event Impacts (8 papers) and Gender, Feminism, and Media (8 papers). The work is most often cited by research in Software (430 citations), Communication (567 citations), Information Systems (581 citations), Artificial Intelligence (727 citations) and Computational Theory and Mathematics (242 citations). Daniel Jackson has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Todd Graham, Vineet Sinha, Neeraj Sangal, Marcel Broersma, Einar Thorsen, Craig A. Damon, Ilya Shlyakhter, Manu Sridharan, Kevin Moloney and Eunsuk Kang. Their work appears in journals such as Journalism Studies, Digital Journalism, Journalism Practice, European Journal of Communication and Communication & Sport.

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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