Nigel Linge

1.2k citations
70 papers · 824 · h-index 13

Impact in

Papers in

Nigel Linge

67 papers receiving 791 citations

Peers

Nigel Linge
Comparison fields: 5 of 90
  • Computer Networks and Communications 241
  • Information Systems 224
  • Media Technology 62
  • Artificial Intelligence 197
  • Computer Vision and Pattern Recognition 103
Replace Furqan Alam with:
Furqan Alam Saudi Arabia
Adnan Ahmed Abi Sen Saudi Arabia
François Carrez United Kingdom
Chunhua Hu China
Ralf Tönjes Germany
Ernő Kovács Germany
Muhammad Umar Aftab Pakistan
Andrea Vitaletti Italy
Andreas P. Plageras Greece
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Citations per field
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Citations per year

Countries citing papers authored by Nigel Linge

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Linge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016158
2 2019106
3 201486
4 200673
5 201043
6 201435
7 201930
8 201326
9 201025
10 201523
11 201619
12 201617
13 201613
14 20169
15 20229
16 20168
17 20168
18 20167
19 20167
20 20077

About Nigel Linge

Nigel Linge is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 824 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (10 papers), Cloud Computing and Resource Management (9 papers), IoT and Edge/Fog Computing (8 papers), Smart Grid Energy Management (8 papers), Machine Learning and ELM (7 papers), Energy Harvesting in Wireless Networks (7 papers), Context-Aware Activity Recognition Systems (6 papers) and IoT-based Smart Home Systems (5 papers). The work is most often cited by research in Computer Networks and Communications (241 citations), Information Systems (224 citations), Media Technology (62 citations), Artificial Intelligence (197 citations) and Computer Vision and Pattern Recognition (103 citations). Nigel Linge has collaborated with scholars based in United Kingdom, China and Canada. Frequent co-authors include Zhangjie Fu, Qi Liu, Jian Shen, Xiaodong Liu, David Parsons, Weidong Cai, Xingming Sun, Xiaodong Liu, Lu Zhou and Grahame Cooper. Their work appears in journals such as IEEE Transactions on Consumer Electronics, International Journal of Sensor Networks, International Journal of Embedded Systems, IEEE Pervasive Computing and Computer Communications.

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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