Ciaran O’Reilly

627 citations
22 papers · 477 · h-index 12

Impact in

    • Macrophage Migration Inhibitory Factor
    • Carbohydrate Chemistry and Synthesis
    • Supramolecular Chemistry and Complexes

Papers in

    • Software Engineering Research 2
    • Software Engineering Techniques and Practices 2
    • AI-based Problem Solving and Planning 4
    • Logic, Reasoning, and Knowledge 3
    • Machine Learning and Algorithms 2

Ciaran O’Reilly

22 papers receiving 466 citations

Peers

Ciaran O’Reilly
Comparison fields: 5 of 61
  • Immunology 138
  • Organic Chemistry 89
  • Biomaterials 28
  • Information Systems 54
  • Artificial Intelligence 32
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Yoshiyuki Hizukuri Japan
Ziyang Wang China
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Sayantan Mitra India
Santosh Putta United States
Afoma C. Umeano United States
Wenyuan Zhang China
Lixin Zhao China
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Citations per field
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Citations per year

Countries citing papers authored by Ciaran O’Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Ciaran O’Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ciaran O’Reilly. 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 Ciaran O’Reilly. The network helps show where Ciaran O’Reilly may publish in the future.

Co-authors

The 25 scholars most cited alongside Ciaran O’Reilly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ciaran O’Reilly Line = papers co-authored together Ciaran O’Reilly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016134
2 201457
3 202247
4 202027
5 200325
6 200525
7 201123
8 201521
9 201721
10 202115
11 201014
12 201714
13 200411
14
Probabilistic inference modulo theories
20169
15 20098
16 20138
17
MABLE: a framework for learning from natural instruction
20095
18 20114
19
Learning from Human Teachers: Issues and Challenges for ILP in Bootstrap Learning
20103
20 20042

About Ciaran O’Reilly

Ciaran O’Reilly is a scholar working on Information Systems, Artificial Intelligence, Software, Organic Chemistry and Immunology, having authored 22 papers that have together received 477 indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (4 papers), AI-based Problem Solving and Planning (4 papers), Macrophage Migration Inhibitory Factor (3 papers), Logic, Reasoning, and Knowledge (3 papers), Bacterial biofilms and quorum sensing (2 papers), Software Engineering Research (2 papers), Software Engineering Techniques and Practices (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Immunology (138 citations), Organic Chemistry (89 citations), Biomaterials (28 citations), Information Systems (54 citations) and Artificial Intelligence (32 citations). Ciaran O’Reilly has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Leona Mawhinney, Seamas C. Donnelly, Mohammad Doroudian, Paul V. Murphy, Philip Morrow, David Bustard, Gordon Cooke, Michelle E. Armstrong, Thorfinnur Gunnlaugsson and Dilip V. Jarikote. Their work appears in journals such as Organic Letters, Tetrahedron Letters, Molecules, Chem and The FASEB Journal.

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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