Pinar Alper

851 total citations
23 papers, 293 citations indexed

About

Pinar Alper is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Pinar Alper has authored 23 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems and Management, 16 papers in Computer Networks and Communications and 16 papers in Information Systems. Recurrent topics in Pinar Alper's work include Scientific Computing and Data Management (21 papers), Distributed and Parallel Computing Systems (16 papers) and Research Data Management Practices (12 papers). Pinar Alper is often cited by papers focused on Scientific Computing and Data Management (21 papers), Distributed and Parallel Computing Systems (16 papers) and Research Data Management Practices (12 papers). Pinar Alper collaborates with scholars based in United Kingdom, Spain and France. Pinar Alper's co-authors include Carole Goble, Óscar Corcho, Khalid Belhajjame, Paolo Missier, Sean Bechhofer, Daniel Garijo, Yolanda Gil, Phillip Lord, Chris Wroe and Duncan Hull and has published in prestigious journals such as BMC Bioinformatics, Future Generation Computer Systems and Scientific Data.

In The Last Decade

Pinar Alper

21 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pinar Alper United Kingdom 9 210 171 171 80 45 23 293
Amy Krause United Kingdom 5 126 0.6× 191 1.1× 70 0.4× 50 0.6× 25 0.6× 7 257
Victor Tan United Kingdom 5 176 0.8× 132 0.8× 136 0.8× 38 0.5× 6 0.1× 12 231
James Magowan United Kingdom 4 115 0.5× 254 1.5× 80 0.5× 46 0.6× 13 0.3× 6 300
Shalil Majithia United Kingdom 6 98 0.5× 173 1.0× 138 0.8× 48 0.6× 10 0.2× 8 224
Michael Wan United States 12 170 0.8× 339 2.0× 146 0.9× 36 0.5× 15 0.3× 21 419
Jason Novotny Germany 8 284 1.4× 451 2.6× 88 0.5× 53 0.7× 19 0.4× 11 500
Dimitris Zeginis Greece 10 21 0.1× 98 0.6× 131 0.8× 134 1.7× 62 1.4× 21 256
Rajkumar Kettimuthu United States 3 137 0.7× 406 2.4× 100 0.6× 29 0.4× 12 0.3× 5 437
Wang Chiew Tan United States 6 122 0.6× 213 1.2× 130 0.8× 163 2.0× 7 0.2× 13 313
Sebastian Dietzold Germany 4 28 0.1× 90 0.5× 134 0.8× 179 2.2× 29 0.6× 6 217

Countries citing papers authored by Pinar Alper

Since Specialization
Citations

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

Fields of papers citing papers by Pinar Alper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinar Alper

This figure shows the co-authorship network connecting the top 25 collaborators of Pinar Alper. A scholar is included among the top collaborators of Pinar Alper 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 Pinar Alper. Pinar Alper 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.
Welter, Danielle, Philippe Rocca‐Serra, Valentin Grouès, et al.. (2023). The Translational Data Catalog - discoverable biomedical datasets. Scientific Data. 10(1). 470–470. 3 indexed citations
2.
Fatima, Nazeefa, Pinar Alper, Federico Bianchini, et al.. (2023). RDMkit: The Research Data Management Toolkit for Life Sciences. Zenodo (CERN European Organization for Nuclear Research). 1.
3.
Welter, Danielle, Philippe Rocca‐Serra, Valentin Grouès, et al.. (2022). The Translational Data Catalog - discoverable biomedical datasets. Zenodo (CERN European Organization for Nuclear Research).
4.
Becker, Regina, Pinar Alper, Valentin Grouès, et al.. (2019). DAISY: A Data Information System for accountability under the General Data Protection Regulation. GigaScience. 8(12). 8 indexed citations
5.
Belhajjame, Khalid, Ashish Gehani, & Pinar Alper. (2018). Provenance and Annotation of Data and Processes. Lecture notes in computer science. 1 indexed citations
6.
Alper, Pinar, Khalid Belhajjame, & Carole Goble. (2017). Static analysis of Taverna workflows to predict provenance patterns. Future Generation Computer Systems. 75. 310–329. 6 indexed citations
7.
Belhajjame, Khalid, Jun Zhao, Daniel Garijo, et al.. (2013). A workflow PROV-corpus based on taverna and wings. Research Explorer (The University of Manchester). 331–332. 8 indexed citations
8.
Alper, Pinar, Carole Goble, & Khalid Belhajjame. (2013). On assisting scientific data curation in collection-based dataflows using labels. Research Explorer (The University of Manchester). 7–16. 2 indexed citations
9.
Garijo, Daniel, Pinar Alper, Khalid Belhajjame, et al.. (2013). Common motifs in scientific workflows: An empirical analysis. Future Generation Computer Systems. 36. 338–351. 52 indexed citations
10.
Alper, Pinar, Khalid Belhajjame, Carole Goble, & Pınar Karagöz. (2013). Enhancing and abstracting scientific workflow provenance for data publishing. OpenMETU (Middle East Technical University). 313–318. 11 indexed citations
11.
Garijo, Daniel, Pinar Alper, Khalid Belhajjame, et al.. (2012). Common motifs in scientific workflows: An empirical analysis. Research Explorer (The University of Manchester). 20. 1–8. 14 indexed citations
12.
Jameson, Daniel, Kevin Garwood, Tim Booth, et al.. (2008). Data capture in bioinformatics: requirements and experiences with Pedro. BMC Bioinformatics. 9(1). 183–183. 12 indexed citations
13.
Wolstencroft, Katherine, Pinar Alper, Duncan Hull, et al.. (2007). The <SUP align=right>my</SUP>Grid ontology: bioinformatics service discovery. International Journal of Bioinformatics Research and Applications. 3(3). 303–303. 50 indexed citations
14.
Corcho, Óscar, Pinar Alper, Paolo Missier, Sean Bechhofer, & Carole Goble. (2007). Grid metadata management: Requirements and architecture. University of Birmingham Research Portal (University of Birmingham). 97–104. 3 indexed citations
15.
Missier, Paolo, Pinar Alper, Óscar Corcho, Ian Dunlop, & Carole Goble. (2007). Requirements and Services for Metadata Management. IEEE Internet Computing. 11(5). 17–25. 17 indexed citations
16.
Alper, Pinar, Óscar Corcho, Michael Parkin, et al.. (2006). An Authorisation Scenario for S-OGSA. UPM Digital Archive (Technical University of Madrid). 2 indexed citations
17.
Wroe, Chris, Carole Goble, Antoon Goderis, et al.. (2006). Recycling workflows and services through discovery and reuse. Concurrency and Computation Practice and Experience. 19(2). 181–194. 17 indexed citations
18.
Goble, Carole, et al.. (2006). S-OGSA as a Reference Architecture for OntoGrid and for the Semantic Grid. Research Explorer (The University of Manchester). 7 indexed citations
19.
Corcho, Óscar, et al.. (2006). An overview of S-OGSA: A Reference Semantic Grid Architecture. Journal of Web Semantics. 4(2). 102–115. 55 indexed citations
20.
Corcho, Óscar, et al.. (2006). An Overview of S-OGSA: A Reference Semantic Grid Architecture. SSRN Electronic Journal. 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.

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