Hazeline U. Asuncion

706 citations
25 papers · 456 indexed · h-index 8
Topics
Software Engineering Research (11 papers)Scientific Computing and Data Management (11 papers)Research Data Management Practices (6 papers)
Partner nations
United States

In The Last Decade

Hazeline U. Asuncion

24 papers receiving 432 citations

Peers

Hazeline U. Asuncion
Comparison fields: 5 of 46
  • Information Systems 368
  • Software 139
  • Artificial Intelligence 135
  • Computer Science Applications 107
  • Computer Networks and Communications 84
Replace Daniel Lucrédio with:
Daniel Lucrédio Brazil
S.E. Sim Canada
Csaba Nagy Switzerland
Arilo Claudio Dias‐Neto Brazil
Oleksii Kononenko Canada
Nuthan Munaiah United States
Mohammad Masudur Rahman Canada
Marcus Ciolkowski Germany
Hans-Jörg Happel Germany
Byron J. Williams United States
Hazeline U. Asuncion relative to Daniel Lucrédio Brazil Daniel Lucrédio's profile →
Citations per field
00.5×1.6×
Daniel Lucrédio · 1×
Citations per year

Countries citing papers authored by Hazeline U. Asuncion

Since Specialization
Citations

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

Fields of papers citing papers by Hazeline U. Asuncion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hazeline U. Asuncion. 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 Hazeline U. Asuncion. The network helps show where Hazeline U. Asuncion may publish in the future.

Co-authorship network of co-authors of Hazeline U. Asuncion

This figure shows the co-authorship network connecting the top 25 collaborators of Hazeline U. Asuncion. A scholar is included among the top collaborators of Hazeline U. Asuncion 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 Hazeline U. Asuncion. Hazeline U. Asuncion 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
#WorkIndexed citations
1 5
2 1
3 1
4 1
5
Supporting Provenance in Climate Science Research
2
6 2
7
Using change entries to collect software project information
1
8 1
9
Towards Recovering Provenance with Experiment Explorer
2
10
Presenting software license conflicts through argumentation
3
11 3
12 13
13 34
14 240
15
The role of software licenses in open architecture ecosystems
18
16 26
17 16
18 20
19
Architecture-centric traceability for stakeholders (acts)
2
20 54

About Hazeline U. Asuncion

Hazeline U. Asuncion is a scholar working on Information Systems and Management, Computer Science Applications and Information Systems, having authored 25 papers that have together received 456 indexed citations. Recurring topics across this work include Software Engineering Research (11 papers), Scientific Computing and Data Management (11 papers) and Research Data Management Practices (6 papers). The work is most often cited by research in Software (139 citations), Computer Science Applications (107 citations) and Information Systems (368 citations). Hazeline U. Asuncion has collaborated with scholars based in United States. Frequent co-authors include Richard N. Taylor, Arthur Asuncion, Walt Scacchi, Thomas A. Alspaugh, Kelvin Sung, David Socha, Yongjie Zheng, Munehiro Fukuda, Christopher W. Carr and W. T. Pfeffer. Their work appears in journals such as Journal of the Association for Information Systems, Future Generation Computer Systems and Software Engineering and Knowledge Engineering.

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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