Danius Michaelides

1.3k total citations
24 papers, 788 citations indexed

About

Danius Michaelides is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Danius Michaelides has authored 24 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems and Management, 13 papers in Computer Networks and Communications and 13 papers in Information Systems. Recurrent topics in Danius Michaelides's work include Scientific Computing and Data Management (14 papers), Research Data Management Practices (11 papers) and Distributed and Parallel Computing Systems (11 papers). Danius Michaelides is often cited by papers focused on Scientific Computing and Data Management (14 papers), Research Data Management Practices (11 papers) and Distributed and Parallel Computing Systems (11 papers). Danius Michaelides collaborates with scholars based in United Kingdom, New Zealand and Netherlands. Danius Michaelides's co-authors include David De Roure, Don Cruickshank, Carole Goble, Jiten Bhagat, David Newman, Sean Bechhofer, Marco Roos, Mark Borkum, Peter Li and Paolo Missier and has published in prestigious journals such as Nucleic Acids Research, IEEE Transactions on Software Engineering and Future Generation Computer Systems.

In The Last Decade

Danius Michaelides

24 papers receiving 729 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danius Michaelides United Kingdom 14 425 396 221 189 129 24 788
Don Cruickshank United Kingdom 14 423 1.0× 405 1.0× 210 1.0× 163 0.9× 146 1.1× 27 795
Allen H. Renear United States 15 146 0.3× 335 0.8× 131 0.6× 471 2.5× 52 0.4× 71 904
Max Völkel Germany 10 104 0.2× 364 0.9× 133 0.6× 551 2.9× 96 0.7× 20 749
Stuart Weibel United States 15 100 0.2× 443 1.1× 171 0.8× 351 1.9× 83 0.6× 43 885
Silvio Peroni Italy 16 181 0.4× 345 0.9× 75 0.3× 564 3.0× 162 1.3× 116 948
Sandy Payette United States 13 152 0.4× 334 0.8× 156 0.7× 146 0.8× 14 0.1× 23 637
George Chin United States 14 107 0.3× 145 0.4× 104 0.5× 144 0.8× 25 0.2× 50 608
Yunyao Li United States 15 70 0.2× 268 0.7× 260 1.2× 614 3.2× 94 0.7× 55 944
Nicholas Gibbins United Kingdom 18 146 0.3× 543 1.4× 324 1.5× 664 3.5× 71 0.6× 73 1.1k
Leonardo Murta Brazil 20 345 0.8× 758 1.9× 324 1.5× 341 1.8× 17 0.1× 88 1.1k

Countries citing papers authored by Danius Michaelides

Since Specialization
Citations

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

Fields of papers citing papers by Danius Michaelides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danius Michaelides

This figure shows the co-authorship network connecting the top 25 collaborators of Danius Michaelides. A scholar is included among the top collaborators of Danius Michaelides 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 Danius Michaelides. Danius Michaelides is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Moreau, Luc, et al.. (2017). A Templating System to Generate Provenance. IEEE Transactions on Software Engineering. 44(2). 103–121. 26 indexed citations
2.
Coppens, Sam, Ruben Verborgh, Miel Vander Sande, et al.. (2013). Easy Access to Provenance: An Essential Step Towards Trust on the Web. ePrints Soton (University of Southampton). 218–223. 3 indexed citations
3.
Frey, Jeremy G., et al.. (2012). MyExperimentalScience, extending the ‘workflow’. Concurrency and Computation Practice and Experience. 25(4). 481–496. 5 indexed citations
4.
Gobbi, Mary, et al.. (2012). The challenges of developing and evaluating complex care scenarios using simulation in nursing education. Journal of research in nursing. 17(4). 329–345. 6 indexed citations
5.
Goble, Carole, Jiten Bhagat, Don Cruickshank, et al.. (2010). myExperiment: a repository and social network for the sharing of bioinformatics workflows. Nucleic Acids Research. 38(suppl_2). W677–W682. 199 indexed citations
6.
Atkinson, Malcolm, David De Roure, Jano van Hemert, & Danius Michaelides. (2010). Shaping Ramps for Data-Intensive Research. ePrints Soton (University of Southampton). 5 indexed citations
7.
Roure, David De, Carole Goble, Sean Bechhofer, et al.. (2010). The Evolution of myExperiment. Research Explorer (The University of Manchester). 153–160. 13 indexed citations
8.
Bechhofer, Sean, John Ainsworth, Jiten Bhagat, et al.. (2010). Why Linked Data is Not Enough for Scientists. Research Explorer (The University of Manchester). 650 0 b l. 300–307. 52 indexed citations
9.
Roure, David De, Carole Goble, Sean Bechhofer, et al.. (2009). The myExperiment Open Repository for Scientific Workflows. ePrints Soton (University of Southampton). 4 indexed citations
10.
Roure, David De, Carole Goble, Jiten Bhagat, et al.. (2008). myExperiment: Defining the Social Virtual Research Environment. Research Explorer (The University of Manchester). 182–189. 45 indexed citations
11.
Goderis, Antoon, David De Roure, Carole Goble, et al.. (2008). Discovering Scientific Workflows: The myExperiment Benchmarks. ePrints Soton (University of Southampton). 16 indexed citations
12.
Shum, Simon Buckingham, Roger Slack, Andrew Rowley, et al.. (2006). Memetic: An Infrastructure for Meeting Memory. 71–85. 16 indexed citations
13.
Halloran, John, Eva Hornecker, Geraldine Fitzpatrick, et al.. (2006). Unfolding understandings. 109–118. 22 indexed citations
14.
Halloran, John, Eva Hornecker, Geraldine Fitzpatrick, et al.. (2006). The literacy fieldtrip. ePrints Soton (University of Southampton). 17–24. 39 indexed citations
15.
Hornecker, Eva, John Halloran, Geraldine Fitzpatrick, et al.. (2006). UbiComp in opportunity spaces. 47–56. 29 indexed citations
16.
Shum, Simon Buckingham, Roger Slack, Andrew Rowley, et al.. (2006). Memetic: From Meeting Memory to Virtual Ethnography & Distributed Video Analysis. 5 indexed citations
17.
Page, Kevin, Danius Michaelides, Simon Buckingham Shum, et al.. (2005). COLLABORATION IN THE SEMANTIC GRID: A BASIS FOR e-LEARNING. Applied Artificial Intelligence. 19(9-10). 881–904. 25 indexed citations
18.
Bachler, Michelle, Simon Buckingham Shum, Jeff Dalton, et al.. (2004). Collaborative Tools in the Semantic Grid. ePrints Soton (University of Southampton). 7–19. 2 indexed citations
19.
MacColl, Ian, Dave Millard, Cliff Randell, et al.. (2002). Shared visiting in EQUATOR city. 88–94. 26 indexed citations
20.
Moreau, Luc, David De Roure, Samhaa R. El-Beltagy, et al.. (2000). SoFAR with DIM Agents: An agent framework for Distributed Information Management. ePrints Soton (University of Southampton). 23 indexed citations

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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