Derek Greene

5.5k citations
94 papers · 2.3k indexed · 1 hit paper · h-index 20

Derek Greene

81 papers receiving 2.2k citations

Hit Papers

Practical solutions to the problem of diagonal dominance ...3852006202620122019100200300

Peers

Derek Greene
Comparison fields: 5 of 158
  • Statistical and Nonlinear Physics 531
  • Computational Mathematics 23
  • Artificial Intelligence 1.1k
  • General Social Sciences 106
  • Communication 166
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Derek Greene

Since Specialization
Citations

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

Fields of papers citing papers by Derek Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20241
4 20240
5 202323
6 202330
7 20231
8 202123
9 20201
10
Semi-Supervised Overlapping Community Finding with Pairwise Constraints.
20171
11 20156
12
Adaptive Representations for Tracking Breaking News on Twitter
20141
13 201412
14
Real Time Event Monitoring with Trident
20133
15
Optimizing conflicting objectives in NMF using Pareto simulated annealing
20103
16
Taking the pulse of the web : assessing sentiment on topics in online media
20101
17 201018
18
Multi-view clustering for mining heterogeneous social network data
20098
19
Efficient Prediction-Based Validation for Document Clustering
20062
20 199749

About Derek Greene

Derek Greene is a scholar working on General Social Sciences, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 94 papers that have together received 2.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (24 papers), Topic Modeling (23 papers), Advanced Text Analysis Techniques (12 papers), Social Media and Politics (9 papers), Computational and Text Analysis Methods (9 papers), Bioinformatics and Genomic Networks (8 papers), Opinion Dynamics and Social Influence (8 papers) and Text and Document Classification Technologies (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (531 citations), Computational Mathematics (23 citations) and Artificial Intelligence (1.1k citations). Derek Greene has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Pádraig Cunningham, Dónal Doyle, Derek O’Callaghan, Joe Carthy, Mark R. Buckley, Sarah Jane Delany, Guangyu Wu, Barry Smyth, Maura Conway and Brian Mac Namee. Their work appears in journals such as Applied Network Science, Expert Systems with Applications, ACM Transactions on Information Systems, Governance and Bioinformatics.

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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