Lyna L. Wiggins
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Building and Construction top 10%
- Management Science and Operations Research top 5%
- Geography, Planning and Development top 2%
- Co-authors
- Steven P. FrenchJoseph FerreiraN. Andrew PetersonR. K. JainJeff R. WrightPaul KomorLia NowerJames E. Moore
- Topics
- Geographic Information Systems Studies (5 papers)Transportation Planning and Optimization (2 papers)Housing Market and Economics (2 papers)
- Partner nations
- United StatesNetherlands
In The Last Decade
Lyna L. Wiggins
17 papers receiving 987 citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 452
- Computer Vision and Pattern Recognition 167
- Building and Construction 90
- Management Science and Operations Research 88
- Geography, Planning and Development 85
Countries citing papers authored by Lyna L. Wiggins
This map shows the geographic impact of Lyna L. Wiggins'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 Lyna L. Wiggins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lyna L. Wiggins more than expected).
Fields of papers citing papers by Lyna L. Wiggins
This network shows the impact of papers produced by Lyna L. Wiggins. 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 Lyna L. Wiggins. The network helps show where Lyna L. Wiggins may publish in the future.
Co-authorship network of co-authors of Lyna L. Wiggins
This figure shows the co-authorship network connecting the top 25 collaborators of Lyna L. Wiggins. A scholar is included among the top collaborators of Lyna L. Wiggins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lyna L. Wiggins. Lyna L. Wiggins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 10 | |
| 3 | 17 | |
| 4 | 25 | |
| 5 | 2 | |
| 6 | 47 | |
| 7 | GIS: ASSESSING YOUR NEEDS AND CHOOSING A SYSTEM | 6 |
| 8 | 26 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 19 | |
| 12 | 68 | |
| 13 | 0 | |
| 14 | 16 | |
| 15 | Artificial intelligence and statisticsbreakdown → | 778 |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 17 | |
| 19 | 1 |
About Lyna L. Wiggins
Lyna L. Wiggins is a scholar working on Geography, Planning and Development, Tourism, Leisure and Hospitality Management and Transportation, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (5 papers), Transportation Planning and Optimization (2 papers) and Housing Market and Economics (2 papers). The work is most often cited by research in Geography, Planning and Development (85 citations), Artificial Intelligence (452 citations) and Computational Mathematics (6 citations). Lyna L. Wiggins has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Steven P. French, Joseph Ferreira, N. Andrew Peterson, R. K. Jain, Jeff R. Wright, Paul Komor, Lia Nower, James E. Moore, Eric Moore and Christopher H. Schroeder. Their work appears in journals such as Energy Policy, Energy and Environment and Planning A Economy and Space.
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.