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 →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Khalid Belhajjame
Since
Specialization
Citations
This map shows the geographic impact of Khalid Belhajjame'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 Khalid Belhajjame with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Belhajjame more than expected).
Fields of papers citing papers by Khalid Belhajjame
This network shows the impact of papers produced by Khalid Belhajjame. 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 Khalid Belhajjame. The network helps show where Khalid Belhajjame may publish in the future.
Co-authorship network of co-authors of Khalid Belhajjame
This figure shows the co-authorship network connecting the top 25 collaborators of Khalid Belhajjame.
A scholar is included among the top collaborators of Khalid Belhajjame 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 Khalid Belhajjame. Khalid Belhajjame is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Belhajjame, Khalid, et al.. (2019). Privacy-Preserving Data Analysis Workflows for eScience.. EDBT/ICDT Workshops.2 indexed citations
4.
McPhillips, Timothy, Shawn Bowers, Khalid Belhajjame, & Bertram Ludäscher. (2015). Retrospective provenance without a runtime provenance recorder. 1–1.12 indexed citations
5.
Missier, Paolo, et al.. (2013). D-PROV: extending the PROV provenance model with workflow structure. University of Birmingham Research Portal (University of Birmingham).1 indexed citations
6.
Ludaescher, Bertram, Paolo Missier, Sounak Dey, et al.. (2013). Facilitating Scientific Research through Workflows and Provenance on the DataONE Cyberinfrastructure (Invited). AGU Fall Meeting Abstracts. 2013.1 indexed citations
7.
Gil, Yolanda, Simon Miles, Khalid Belhajjame, et al.. (2013). PROV Model Primer: W3C Working Group Note. Research Explorer (The University of Manchester).12 indexed citations
8.
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 →
Missier, Paolo & Khalid Belhajjame. (2012). A PROV encoding for provenance analysis using deductive rules. School of Computing Science Technical Report Series.1 indexed citations
12.
Belhajjame, Khalid, Óscar Corcho, Daniel Garijo, et al.. (2012). Workflow-centric research objects: First class citizens in scholarly discourse.. Research Explorer (The University of Manchester). 903. 1–12.47 indexed citations
13.
Hettne, Kristina, Katherine Wolstencroft, Khalid Belhajjame, et al.. (2012). Best practices for workflow design: how to prevent workflow decay. Research Explorer (The University of Manchester). 23.17 indexed citations
14.
Belhajjame, Khalid, Norman W. Paton, Alvaro A. A. Fernandes, Cornelia Hedeler, & Suzanne M. Embury. (2011). User Feedback as a First Class Citizen in Information Integration Systems. Research Explorer (The University of Manchester). 175–183.28 indexed citations
Belhajjame, Khalid, Suzanne M. Embury, Hao Fan, et al.. (2005). Proteome Data Integration: Characteristics and Challenges. Research Explorer (The University of Manchester).4 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.