Conor Muldoon

634 citations
34 papers · 257 · h-index 10

Impact in

Papers in

Conor Muldoon

31 papers receiving 227 citations

Peers

Conor Muldoon
Comparison fields: 5 of 63
  • Computer Networks and Communications 129
  • Computer Science Applications 23
  • Ecological Modeling 18
  • Computer Vision and Pattern Recognition 82
  • Demography 24
Replace Simon Moncrieff with:
Simon Moncrieff Australia
Teresa Onorati Spain
James Fangmeyer Mexico
Jorge Gómez Gómez Colombia
Tianyi Li United States
Dwi Arman Prasetya Indonesia
Paola Ariza-Colpas Colombia
Jing Dai United States
Dennis Frenchman United States
Jose A.Santoyo-Ramón Spain
Conor Muldoon relative to Simon Moncrieff Australia Simon Moncrieff's profile →
Citations per field
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Citations per year

Countries citing papers authored by Conor Muldoon

Since Specialization
Citations

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

Fields of papers citing papers by Conor Muldoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Conor Muldoon, 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 Conor Muldoon Line = papers co-authored together Conor Muldoon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200955
2 201625
3 201621
4 200819
5 200619
6 201217
7 201812
8 200810
9 201810
10 20079
11 20128
12 20098
13 20097
14 20075
15
An agent-based architecture for wireless bus travel assistants
20035
16 20154
17 20103
18
Combining Sensor Selection with Routing and Scheduling in Wireless Sensor Networks
20112
19 20082
20 20202

About Conor Muldoon

Conor Muldoon is a scholar working on Computer Networks and Communications, Artificial Intelligence, Mechanical Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 34 papers that have together received 257 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (10 papers), Mobile Agent-Based Network Management (10 papers), Multi-Agent Systems and Negotiation (9 papers), Modular Robots and Swarm Intelligence (8 papers), Context-Aware Activity Recognition Systems (6 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Constraint Satisfaction and Optimization (3 papers) and Indoor and Outdoor Localization Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (129 citations), Computer Science Applications (23 citations), Ecological Modeling (18 citations), Computer Vision and Pattern Recognition (82 citations) and Demography (24 citations). Conor Muldoon has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include G. M. P. O’Hare, Michael J. O’Grady, Richard Tynan, Mauro Dragone, J. F. N. Bradley, Rem Collier, Jie Wan, Didier Leibovici, Ingo Simonis and Niki Trigoni. Their work appears in journals such as Science of Computer Programming, The Knowledge Engineering Review, International Journal of Web and Grid Services, Mobile Networks and Applications and Artificial Intelligence Review.

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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