James Cajka

3.0k total citations · 1 hit paper
29 papers, 2.1k citations indexed

About

James Cajka is a scholar working on Global and Planetary Change, Epidemiology and Sociology and Political Science. According to data from OpenAlex, James Cajka has authored 29 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 6 papers in Epidemiology and 5 papers in Sociology and Political Science. Recurrent topics in James Cajka's work include Human Mobility and Location-Based Analysis (5 papers), COVID-19 epidemiological studies (4 papers) and Plant Water Relations and Carbon Dynamics (4 papers). James Cajka is often cited by papers focused on Human Mobility and Location-Based Analysis (5 papers), COVID-19 epidemiological studies (4 papers) and Plant Water Relations and Carbon Dynamics (4 papers). James Cajka collaborates with scholars based in United States, United Kingdom and Sweden. James Cajka's co-authors include Philip C. Cooley, Donald S. Burke, Neil M. Ferguson, Christophe Fraser, Derek A. T. Cummings, Diane K. Wagener, L. Ganapathi, William Wheaton, Justine Allpress and William D. Wheaton and has published in prestigious journals such as Nature, Environmental Science & Technology and Scientific Reports.

In The Last Decade

James Cajka

28 papers receiving 2.0k citations

Hit Papers

Strategies for mitigating an influenza pandemic 2006 2026 2012 2019 2006 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Cajka United States 11 1.3k 992 448 264 244 29 2.1k
Aronrag Meeyai Thailand 15 1.1k 0.8× 956 1.0× 410 0.9× 360 1.4× 138 0.6× 30 1.8k
Lauren Gardner United States 23 887 0.7× 485 0.5× 581 1.3× 315 1.2× 353 1.4× 93 2.2k
Bryan Lewis United States 24 1.8k 1.4× 937 0.9× 997 2.2× 428 1.6× 421 1.7× 85 3.1k
Piero Manfredi Italy 25 1.4k 1.1× 806 0.8× 328 0.7× 749 2.8× 356 1.5× 98 2.4k
Paolo Bajardi Italy 18 849 0.7× 463 0.5× 162 0.4× 209 0.8× 218 0.9× 31 1.7k
Gianpaolo Scalia Tomba Italy 16 1.9k 1.4× 1.4k 1.4× 706 1.6× 421 1.6× 326 1.3× 45 2.8k
Petra Klepac United Kingdom 22 991 0.8× 486 0.5× 442 1.0× 319 1.2× 249 1.0× 40 1.8k
Michele Tizzoni Italy 24 1.1k 0.8× 685 0.7× 182 0.4× 232 0.9× 262 1.1× 55 2.3k
Chiara Poletto France 27 1.8k 1.4× 677 0.7× 882 2.0× 640 2.4× 544 2.2× 58 3.1k
Lorenzo Mari Italy 28 1.2k 1.0× 369 0.4× 357 0.8× 635 2.4× 313 1.3× 79 2.8k

Countries citing papers authored by James Cajka

Since Specialization
Citations

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

Fields of papers citing papers by James Cajka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Cajka

This figure shows the co-authorship network connecting the top 25 collaborators of James Cajka. A scholar is included among the top collaborators of James Cajka 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 James Cajka. James Cajka 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.
Sinha, Paramita, Susan Julius, M. M. Fry, et al.. (2024). Assessing community vulnerability to extreme events in the presence of contaminated sites and waste management facilities: An indicator approach. Urban Climate. 53(101800). 101800–101800. 1 indexed citations
2.
Clark, Christopher M., et al.. (2024). Geographic variation in projected US forest aboveground carbon responses to climate change and atmospheric deposition. Environmental Research Letters. 19(3). 34028–34028. 2 indexed citations
3.
Sinha, Paramita, M. M. Fry, Susan Julius, et al.. (2024). Building resilience to extreme weather events in Phoenix: Considering contaminated sites and disadvantaged communities. Climate Risk Management. 43. 100586–100586. 1 indexed citations
4.
Phelan, Jennifer, George Van Houtven, Christopher M. Clark, et al.. (2024). Climate change could negate U.S. forest ecosystem service benefits gained through reductions in nitrogen and sulfur deposition. Scientific Reports. 14(1). 10767–10767. 3 indexed citations
6.
Clark, Christopher M., Jennifer Phelan, James Cajka, et al.. (2023). Future climate change effects on US forest composition may offset benefits of reduced atmospheric deposition of N and S. Global Change Biology. 29(17). 4793–4810. 7 indexed citations
7.
LeDuc, Stephen D., Christopher M. Clark, Jennifer Phelan, et al.. (2022). Nitrogen and Sulfur Deposition Reductions Projected to Partially Restore Forest Soil Conditions in the US Northeast, While Understory Composition Continues to Shift with Future Climate Change. Water Air & Soil Pollution. 233(9). 1–26. 4 indexed citations
8.
Sinha, Paramita, Susan Julius, M. M. Fry, et al.. (2022). Assessing Community Vulnerability to Extreme Events in the Presence of Contaminated Sites and Waste Management Facilities: An Indicator Approach. SSRN Electronic Journal. 1 indexed citations
9.
Chew, Robert, et al.. (2018). Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery. International Journal of Health Geographics. 17(1). 12–12. 23 indexed citations
10.
Clark, Christopher M., Jennifer Phelan, Prakash Doraiswamy, et al.. (2018). Atmospheric deposition and exceedances of critical loads from 1800−2025 for the conterminous United States. Ecological Applications. 28(4). 978–1002. 49 indexed citations
11.
Cajka, James, et al.. (2018). Geo-sampling in developing nations. International Journal of Social Research Methodology. 21(6). 729–746. 14 indexed citations
14.
Muth, Mary K., et al.. (2013). Analysis of the Costs and Economic Feasibility of Requiring Postharvest Processing for Raw Oysters. Comprehensive Reviews in Food Science and Food Safety. 12(6). 652–661. 10 indexed citations
15.
Cooley, Philip C., Shawn T. Brown, James Cajka, et al.. (2011). The Role of Subway Travel in an Influenza Epidemic: A New York City Simulation. Journal of Urban Health. 88(5). 982–995. 91 indexed citations
16.
Muth, Mary K., Joanne E Arsenault, James Cajka, et al.. (2011). Analysis of how post-harvest processing technologies for controlling Vibrio vulnificus can be implemented. 7 indexed citations
17.
Cooley, Philip C., Bruce Y. Lee, Shawn T. Brown, et al.. (2010). Protecting health care workers: a pandemic simulation based on Allegheny County. Influenza and Other Respiratory Viruses. 4(2). 61–72. 54 indexed citations
18.
Wheaton, William, et al.. (2007). A Nationwide geo-referenced synthesized agent database for infectious disease models.
19.
Root, Elisabeth Dowling, et al.. (2007). Emergency Preparedness Atlas: U.S. Nursing Home and Hospital Facilities. 1 indexed citations
20.
Ferguson, Neil M., Derek A. T. Cummings, Christophe Fraser, et al.. (2006). Strategies for mitigating an influenza pandemic. Nature. 442(7101). 448–452. 1578 indexed citations breakdown →

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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