Jonathan Muckell
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in
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- Data Management and Algorithms 4
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- Human Mobility and Location-Based Analysis 4
- Transportation Planning and Optimization 1
- Co-authors
- S. S. Ravi (4 shared papers)Catherine T. Lawson (5 shared papers)Jeong-Hyon Hwang (4 shared papers)Fan Ping (1 shared paper)Yuchi Young (1 shared paper)Joseph J. Salvo (1 shared paper)Qing Cao (1 shared paper)Hongmian Gong (1 shared paper)
- Journals
- GeoInformatica (1 paper)Transportation Research Record Journal of the Transportation Research Board (1 paper)Transportation Research Board 89th Annual MeetingTransportation Research Board (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Jonathan Muckell
8 papers receiving 271 citations
Peers
Comparison fields: 5 of 54
- Signal Processing 203
- Transportation 92
- Geography, Planning and Development 55
- Ocean Engineering 74
- Building and Construction 49
Countries citing papers authored by Jonathan Muckell
This map shows the geographic impact of Jonathan Muckell'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 Jonathan Muckell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Muckell more than expected).
Fields of papers citing papers by Jonathan Muckell
This network shows the impact of papers produced by Jonathan Muckell. 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 Jonathan Muckell. The network helps show where Jonathan Muckell may publish in the future.
Co-authors
The 11 scholars most cited alongside Jonathan Muckell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 118 | |
| 2 | 2011 | 87 | |
| 3 | 2010 | 57 | |
| 4 | 2017 | 8 | |
| 5 | 2009 | 6 | |
| 6 | 2013 | 3 | |
| 7 | Evaluating the Feasibility of a Passive Travel Survey Collection in Complex Urban Environment: A Case Study in New York City | 2010 | 2 |
| 8 | An exploration of tags assigned to geotagged still and moving images on Flickr | 2012 | 1 |
About Jonathan Muckell
Jonathan Muckell is a scholar working on Signal Processing, Transportation, Artificial Intelligence, Computer Networks and Communications and Rehabilitation, having authored 8 papers that have together received 282 indexed citations. Recurring topics across this work include Data Management and Algorithms (4 papers), Human Mobility and Location-Based Analysis (4 papers), Algorithms and Data Compression (3 papers), Gaze Tracking and Assistive Technology (1 paper), Stroke Rehabilitation and Recovery (1 paper), Transportation Planning and Optimization (1 paper), Optimization and Search Problems (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Signal Processing (203 citations), Transportation (92 citations), Geography, Planning and Development (55 citations), Ocean Engineering (74 citations) and Building and Construction (49 citations). Jonathan Muckell has collaborated with scholars based in United States and Canada. Frequent co-authors include S. S. Ravi, Catherine T. Lawson, Jeong-Hyon Hwang, Fan Ping, Yuchi Young, Joseph J. Salvo, Qing Cao, Hongmian Gong, Diane Rasmussen Pennington and Cynthia Chen. Their work appears in journals such as GeoInformatica, Transportation Research Record Journal of the Transportation Research Board and Transportation Research Board 89th Annual MeetingTransportation Research Board.
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.