Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud
2013416 citationsKatherine Wolstencroft, Robert Haines et al.Nucleic Acids Researchprofile →
Citations per year, relative to Jiten Bhagat Jiten Bhagat (= 1×)
peers
Shoaib Sufi
Countries citing papers authored by Jiten Bhagat
Since
Specialization
Citations
This map shows the geographic impact of Jiten Bhagat'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 Jiten Bhagat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiten Bhagat more than expected).
This network shows the impact of papers produced by Jiten Bhagat. 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 Jiten Bhagat. The network helps show where Jiten Bhagat may publish in the future.
Co-authorship network of co-authors of Jiten Bhagat
This figure shows the co-authorship network connecting the top 25 collaborators of Jiten Bhagat.
A scholar is included among the top collaborators of Jiten Bhagat 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 Jiten Bhagat. Jiten Bhagat is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
11 of 11 papers shown
1.
Wolstencroft, Katherine, Robert Haines, Donal Fellows, et al.. (2013). The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud. Nucleic Acids Research. 41(W1). W557–W561.416 indexed citations breakdown →
2.
Bechhofer, Sean, Iain Buchan, David De Roure, et al.. (2011). Why linked data is not enough for scientists. Future Generation Computer Systems. 29(2). 599–611.201 indexed citations
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
5.
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
6.
Roure, David De, Carole Goble, Sean Bechhofer, et al.. (2010). Towards open science: the myExperiment approach. Concurrency and Computation Practice and Experience. 22(17). 2335–2353.22 indexed citations
7.
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
Goderis, Antoon, David De Roure, Carole Goble, et al.. (2008). Discovering Scientific Workflows: The myExperiment Benchmarks. ePrints Soton (University of Southampton).16 indexed citations
10.
Lin, Yuwei, Meik Poschen, Alex Voß, et al.. (2008). Agile Management: Strategies for Developing a Social Networking Site for Scientists. ePrints Soton (University of Southampton).5 indexed citations
11.
Roure, David De, Carole Goble, & Jiten Bhagat. (2008). Accelerating Time to Experiment – the myExperiment approach to Open Science. ePrints Soton (University of Southampton).1 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.