John M. Bigham

1.5k citations
89 papers · 1.1k · h-index 18

Impact in

Papers in

John M. Bigham

84 papers receiving 1.1k citations

Peers

John M. Bigham
Comparison fields: 5 of 80
  • Transportation 294
  • Safety, Risk, Reliability and Quality 262
  • Computer Networks and Communications 528
  • Signal Processing 97
  • Computer Vision and Pattern Recognition 124
Replace Paulo Portugal with:
Paulo Portugal Portugal
Rajesh Krishnan United Kingdom
Avgoustinos Filippoupolitis United Kingdom
John S. Collura United States
Zsolt Szalay Hungary
Chandreyee Chowdhury India
Quanjun Chen Japan
Jiwon Kim Australia
Xiaoshan Pan United States
Allan Mariano De Souza Brazil
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Citations per field
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Citations per year

Countries citing papers authored by John M. Bigham

Since Specialization
Citations

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

Fields of papers citing papers by John M. Bigham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Bigham. 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 John M. Bigham. The network helps show where John M. Bigham may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013177
2 201488
3 200376
4 199965
5 201757
6 201337
7 201234
8 200333
9 200733
10 200928
11 200823
12 199921
13 200820
14 201319
15 201119
16 200918
17 201918
18 200718
19 201418
20
Associations between Road Network Connectivity and Pedestrian-Bicyclist Accidents
201217

About John M. Bigham

John M. Bigham is a scholar working on Computer Networks and Communications, Transportation, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering and Information Systems, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wireless Communication Networks Research (15 papers), Cooperative Communication and Network Coding (11 papers), Advanced Wireless Network Optimization (11 papers), Advanced MIMO Systems Optimization (11 papers), Traffic and Road Safety (10 papers), Mobile Agent-Based Network Management (10 papers), Urban Transport and Accessibility (9 papers) and Indoor and Outdoor Localization Technologies (9 papers). The work is most often cited by research in Transportation (294 citations), Safety, Risk, Reliability and Quality (262 citations), Computer Networks and Communications (528 citations), Signal Processing (97 citations) and Computer Vision and Pattern Recognition (124 citations). John M. Bigham has collaborated with scholars based in United Kingdom, United States and Macao. Frequent co-authors include David R. Ragland, Zhibin Li, Usman Naeem, Ning Lü, Pan Liu, Eliane Bodanese, Wei Wang, Peng Jiang, David Gamez and Yuanyuan Zhang. Their work appears in journals such as IEEE Communications Letters, Computer Networks, IEEE Vehicular Technology Magazine, Computer Communications and The Knowledge Engineering 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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