Ben McCarthy

603 citations
18 papers · 349 · h-index 10

Impact in

Papers in

Ben McCarthy

18 papers receiving 333 citations

Peers

Ben McCarthy
Comparison fields: 5 of 70
  • Ecological Modeling 38
  • Forestry 31
  • Nature and Landscape Conservation 73
  • Ecology, Evolution, Behavior and Systematics 108
  • Computer Networks and Communications 92
Replace Rúbia Santos Fonseca with:
Rúbia Santos Fonseca Brazil
José A. Palazón Spain
Alain Danet France
Cheryl D. Nath India
Yongtao Huang China
Prashanth Aravinda Kumar Acharya United States
Jean-Paul Cheylan France
Joel Rybicki Finland
Akira Yoshioka Japan
David Smith Australia
Ben McCarthy relative to Rúbia Santos Fonseca Brazil Rúbia Santos Fonseca's profile →
Citations per field
00.5×3.1×
Rúbia Santos Fonseca · 1×
Citations per year

Countries citing papers authored by Ben McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Ben McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2017149
2 202166
3 202027
4
The Integration of Ad-hoc (MANET) and Mobile Networking (NEMO): Principles to Support Rescue Team Communication
200618
5 200814
6 200912
7 200711
8 200810
9 201110
10 20089
11 20106
12 20075
13 20095
14 20103
15 20241
16 20151
17 20101
18
Theoretical and Practical Survey of Backhaul Connectivity Options
20101

About Ben McCarthy

Ben McCarthy is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Nature and Landscape Conservation, Computer Vision and Pattern Recognition and Global and Planetary Change, having authored 18 papers that have together received 349 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (10 papers), Opportunistic and Delay-Tolerant Networks (8 papers), IPv6, Mobility, Handover, Networks, Security (5 papers), Wireless Networks and Protocols (3 papers), Energy Efficient Wireless Sensor Networks (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers) and Conservation, Biodiversity, and Resource Management (2 papers). The work is most often cited by research in Ecological Modeling (38 citations), Forestry (31 citations), Nature and Landscape Conservation (73 citations), Ecology, Evolution, Behavior and Systematics (108 citations) and Computer Networks and Communications (92 citations). Ben McCarthy has collaborated with scholars based in United Kingdom, Indonesia and Switzerland. Frequent co-authors include Christopher Edwards, James Kalema, Timothy Harris, Sékou Magassouba, Iain Darbyshire, Anca Sârbu, Bertrand de Montmollin, Colin Clubbe, Ben A. Woodcock and Kirsty J. Park. Their work appears in journals such as PARKS, Computer Communications, Biodiversity and Conservation, Health Promotion International and Ecography.

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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