Benjamin D. Horne
- Sociology and Political Science top 2%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Communication top 5%
- Signal Processing top 10%
- Co-authors
- Sibel AdalıColin D. MeurkMaria IgnatievaHannah L. BuckleyGlenn H. StewartCody BuntainJin-Hee ChoJohn O’Donovan
- Topics
- Misinformation and Its Impacts (10 papers)Spam and Phishing Detection (6 papers)Sentiment Analysis and Opinion Mining (4 papers)
- Journals
- Urban EcosystemsACM Transactions on Intelligent Systems and TechnologyACM SIGMIS Database the DATABASE for Advances in Information Systems
- Partner nations
- United StatesDenmarkNew Zealand
In The Last Decade
Benjamin D. Horne
15 papers receiving 675 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Sociology and Political Science 579
- Information Systems 364
- Artificial Intelligence 354
- Communication 96
- Signal Processing 90
Countries citing papers authored by Benjamin D. Horne
This map shows the geographic impact of Benjamin D. Horne'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 Benjamin D. Horne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin D. Horne more than expected).
Fields of papers citing papers by Benjamin D. Horne
This network shows the impact of papers produced by Benjamin D. Horne. 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 Benjamin D. Horne. The network helps show where Benjamin D. Horne may publish in the future.
Co-authorship network of co-authors of Benjamin D. Horne
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin D. Horne. A scholar is included among the top collaborators of Benjamin D. Horne based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benjamin D. Horne. Benjamin D. Horne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 20 | |
| 4 | 3 | |
| 5 | 20 | |
| 6 | 72 | |
| 7 | 22 | |
| 8 | 5 | |
| 9 | 42 | |
| 10 | 33 | |
| 11 | This Just In: Fake News Packs A Lot In Title, Uses Simpler, Repetitive Content in Text Body, More Similar To Satire Than Real Newsbreakdown → | 401 |
| 12 | 26 | |
| 13 | 14 | |
| 14 | 45 | |
| 15 | The origin and weed status of plants in Christchurch lawns | 2 |
About Benjamin D. Horne
Benjamin D. Horne is a scholar working on Computer Science Applications, Information Systems and Communication, having authored 15 papers that have together received 708 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (10 papers), Spam and Phishing Detection (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Information Systems (364 citations), Communication (96 citations) and Sociology and Political Science (579 citations). Benjamin D. Horne has collaborated with scholars based in United States, Denmark and New Zealand. Frequent co-authors include Sibel Adalı, Colin D. Meurk, Maria Ignatieva, Hannah L. Buckley, Glenn H. Stewart, Cody Buntain, Jin-Hee Cho, John O’Donovan, Dorit Nevo and Michihiko Goto. Their work appears in journals such as Urban Ecosystems, ACM Transactions on Intelligent Systems and Technology and ACM SIGMIS Database the DATABASE for Advances in Information Systems.
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.