Thomas J. Cova

3.5k total citations
59 papers, 2.6k citations indexed

About

Thomas J. Cova is a scholar working on Global and Planetary Change, Ocean Engineering and Sociology and Political Science. According to data from OpenAlex, Thomas J. Cova has authored 59 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Global and Planetary Change, 33 papers in Ocean Engineering and 13 papers in Sociology and Political Science. Recurrent topics in Thomas J. Cova's work include Evacuation and Crowd Dynamics (33 papers), Fire effects on ecosystems (23 papers) and Flood Risk Assessment and Management (14 papers). Thomas J. Cova is often cited by papers focused on Evacuation and Crowd Dynamics (33 papers), Fire effects on ecosystems (23 papers) and Flood Risk Assessment and Management (14 papers). Thomas J. Cova collaborates with scholars based in United States, Australia and New Zealand. Thomas J. Cova's co-authors include Justin P. Johnson, Richard L. Church, Michael F. Goodchild, Philip E. Dennison, Laura K. Siebeneck, May Yuan, Frank A. Drews, Dapeng Li, Paul C. Sutton and David M. Theobald and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sustainability.

In The Last Decade

Thomas J. Cova

59 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas J. Cova United States 27 1.3k 1.1k 739 504 377 59 2.6k
Ali Asghar Alesheikh Iran 25 317 0.2× 845 0.8× 337 0.5× 164 0.3× 161 0.4× 204 3.1k
Shih‐Lung Shaw United States 36 418 0.3× 740 0.7× 2.9k 3.9× 398 0.8× 385 1.0× 96 4.6k
Ali Mansourian Sweden 23 326 0.3× 335 0.3× 369 0.5× 141 0.3× 223 0.6× 113 1.8k
Paul M. Torrens United States 26 384 0.3× 1.1k 1.0× 686 0.9× 238 0.5× 309 0.8× 62 2.4k
S. Gwynne United Kingdom 28 2.2k 1.7× 480 0.4× 682 0.9× 336 0.7× 33 0.1× 128 2.6k
Yoshihide Sekimoto Japan 26 604 0.5× 339 0.3× 983 1.3× 192 0.4× 84 0.2× 156 3.2k
Pamela Murray‐Tuite United States 30 1.8k 1.4× 635 0.6× 1.4k 1.9× 892 1.8× 18 0.0× 106 3.1k
Sisi Zlatanova Netherlands 37 845 0.7× 429 0.4× 232 0.3× 130 0.3× 1.2k 3.3× 340 6.0k
Qing Zhu China 31 651 0.5× 440 0.4× 151 0.2× 73 0.1× 294 0.8× 208 3.7k
Erik Jenelius Sweden 34 567 0.4× 314 0.3× 2.5k 3.4× 417 0.8× 19 0.1× 114 4.7k

Countries citing papers authored by Thomas J. Cova

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Cova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. Cova. 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 Thomas J. Cova. The network helps show where Thomas J. Cova may publish in the future.

Co-authorship network of co-authors of Thomas J. Cova

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Cova. A scholar is included among the top collaborators of Thomas J. Cova 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 Thomas J. Cova. Thomas J. Cova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cova, Thomas J., et al.. (2024). Destination unknown: Examining wildfire evacuee trips using GPS data. Journal of Transport Geography. 117. 103863–103863. 11 indexed citations
2.
Zhang, Xiaojian, Xilei Zhao, Dare A. Baldwin, et al.. (2024). Modeling protective action decision-making in earthquakes by using explainable machine learning and video data. Scientific Reports. 14(1). 5480–5480. 9 indexed citations
3.
Cova, Thomas J., Simon Brewer, Timothy W. Collins, et al.. (2024). Spatial analysis of disaster resilience research: A bibliometric study. International Journal of Disaster Risk Reduction. 113. 104896–104896. 4 indexed citations
4.
Crooks, Andrew, et al.. (2024). Addressing equifinality in agent-based modeling: a sequential parameter space search method based on sensitivity analysis. International Journal of Geographical Information Systems. 38(6). 1007–1034. 1 indexed citations
5.
Lovreglio, Ruggiero, et al.. (2023). Predicting and Assessing Wildfire Evacuation Decision-Making Using Machine Learning: Findings from the 2019 Kincade Fire. Fire Technology. 59(2). 793–825. 22 indexed citations
6.
Kuligowski, Erica D., et al.. (2023). Analyzing Risk Perception, Evacuation Decision and Delay Time: A Case Study of the 2021 Marshall Fire in Colorado. Travel Behaviour and Society. 35. 100729–100729. 18 indexed citations
7.
Cova, Thomas J., et al.. (2022). Perceived Recovery Trajectories in Post-Earthquake Nepal – A Visual Exploration With Self Organizing Maps. SHILAP Revista de lepidopterología. 3. 111–121. 1 indexed citations
8.
Xu, Yiming, Xilei Zhao, Ruggiero Lovreglio, et al.. (2022). A highway vehicle routing dataset during the 2019 Kincade Fire evacuation. Scientific Data. 9(1). 608–608. 4 indexed citations
9.
Siebeneck, Laura K. & Thomas J. Cova. (2021). The disaster return-entry process: a discussion of issues, strategies and future research. Disaster Prevention and Management An International Journal. 30(3). 369–383. 5 indexed citations
10.
Li, Dapeng, Thomas J. Cova, & Philip E. Dennison. (2017). Using reverse geocoding to identify prominent wildfire evacuation trigger points. Applied Geography. 87. 14–27. 13 indexed citations
11.
Siebeneck, Laura K. & Thomas J. Cova. (2012). Spatial and Temporal Variation in Evacuee Risk Perception Throughout the Evacuation and Return‐Entry Process. Risk Analysis. 32(9). 1468–1480. 66 indexed citations
12.
Cova, Thomas J., et al.. (2011). Using MODIS satellite imagery to predict hantavirus risk. Global Ecology and Biogeography. 20(4). 620–629. 11 indexed citations
13.
Cova, Thomas J., David M. Theobald, John Norman, & Laura K. Siebeneck. (2011). Mapping wildfire evacuation vulnerability in the western US: the limits of infrastructure. GeoJournal. 78(2). 273–285. 62 indexed citations
14.
Kobayashi, Tetsuo, Richard Medina, & Thomas J. Cova. (2010). Visualizing Diurnal Population Change in Urban Areas for Emergency Management. The Professional Geographer. 63(1). 113–130. 35 indexed citations
15.
Cova, Thomas J., et al.. (2010). EDGIS: a dynamic GIS based on space time points. International Journal of Geographical Information Systems. 24(3). 329–346. 35 indexed citations
16.
17.
Cova, Thomas J., et al.. (2004). TRANSPORTATION HAZARDS. IN: HANDBOOK OF TRANSPORTATION ENGINEERING. 2 indexed citations
18.
Cova, Thomas J. & Justin P. Johnson. (2002). Microsimulation of Neighborhood Evacuations in the Urban–Wildland Interface. Environment and Planning A Economy and Space. 34(12). 2211–2229. 186 indexed citations
19.
Cova, Thomas J. & Richard L. Church. (2000). Exploratory spatial optimization in site search: a neighborhood operator approach. Computers Environment and Urban Systems. 24(5). 401–419. 41 indexed citations
20.
Cova, Thomas J. & Richard L. Church. (2000). Contiguity Constraints for Single‐Region Site Search Problems. Geographical Analysis. 32(4). 306–329. 87 indexed citations

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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