Seth Goodman

498 total citations
12 papers, 281 citations indexed

About

Seth Goodman is a scholar working on Global and Planetary Change, Sociology and Political Science and Epidemiology. According to data from OpenAlex, Seth Goodman has authored 12 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 3 papers in Sociology and Political Science and 3 papers in Epidemiology. Recurrent topics in Seth Goodman's work include Conservation, Biodiversity, and Resource Management (3 papers), Land Use and Ecosystem Services (3 papers) and Data-Driven Disease Surveillance (3 papers). Seth Goodman is often cited by papers focused on Conservation, Biodiversity, and Resource Management (3 papers), Land Use and Ecosystem Services (3 papers) and Data-Driven Disease Surveillance (3 papers). Seth Goodman collaborates with scholars based in United States, Germany and Mali. Seth Goodman's co-authors include Daniel Miller Runfola, Ariel BenYishay, Argyro Kavvada, Andrew Peck, Austin Anderson, Robert Marty, Bradley C. Parks, Matthias Leu, Jyoteshwar Nagol and Graeme M. Buchanan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sustainability.

In The Last Decade

Seth Goodman

12 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seth Goodman United States 7 93 48 31 30 29 12 281
J.J. Verplanke Netherlands 10 101 1.1× 64 1.3× 16 0.5× 22 0.7× 69 2.4× 24 298
В. С. Тикунов Russia 9 53 0.6× 77 1.6× 21 0.7× 30 1.0× 16 0.6× 100 372
Sydney Gourlay United States 12 113 1.2× 67 1.4× 94 3.0× 136 4.5× 11 0.4× 27 665
Abisalom Omolo Kenya 7 141 1.5× 135 2.8× 64 2.1× 54 1.8× 15 0.5× 8 594
Liz Tynan Australia 5 64 0.7× 36 0.8× 22 0.7× 38 1.3× 25 0.9× 8 299
Jack Makau United Kingdom 9 88 0.9× 50 1.0× 5 0.2× 17 0.6× 27 0.9× 12 242
Alex Barimah Owusu Ghana 10 106 1.1× 51 1.1× 21 0.7× 20 0.7× 5 0.2× 40 279
Daniel Kpienbaareh Canada 13 137 1.5× 59 1.2× 118 3.8× 84 2.8× 7 0.2× 35 555
Weihe Wendy Guan United States 9 78 0.8× 52 1.1× 49 1.6× 50 1.7× 89 3.1× 32 437
Jacob McKee United States 8 143 1.5× 70 1.5× 26 0.8× 20 0.7× 78 2.7× 11 281

Countries citing papers authored by Seth Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Seth Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seth Goodman

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

All Works

12 of 12 papers shown
1.
BenYishay, Ariel, et al.. (2024). Irrigation strengthens climate resilience: Long-term evidence from Mali using satellites and surveys. PNAS Nexus. 3(2). pgae022–pgae022. 7 indexed citations
2.
Goodman, Seth, Ariel BenYishay, & Daniel Miller Runfola. (2024). Spatiotemporal Prediction of Conflict Fatality Risk Using Convolutional Neural Networks and Satellite Imagery. Remote Sensing. 16(18). 3411–3411. 2 indexed citations
3.
BenYishay, Ariel, et al.. (2024). Rebuilding Irrigation Infrastructure and Institutions: Evidence from Afghanistan. Economic Development and Cultural Change. 73(4). 1761–1796. 1 indexed citations
4.
Goodman, Seth, et al.. (2024). AidData’s Geospatial Global Chinese Development Finance Dataset. Scientific Data. 11(1). 529–529. 3 indexed citations
5.
6.
Runfola, Daniel Miller, et al.. (2020). geoBoundaries: A global database of political administrative boundaries. PLoS ONE. 15(4). e0231866–e0231866. 131 indexed citations
7.
Kavvada, Argyro, et al.. (2020). Open Earth Observations for Sustainable Urban Development. Remote Sensing. 12(10). 1646–1646. 38 indexed citations
8.
Goodman, Seth, Ariel BenYishay, & Daniel Miller Runfola. (2020). A convolutional neural network approach to predict non‐permissive environments from moderate‐resolution imagery. Transactions in GIS. 25(2). 674–691. 12 indexed citations
9.
10.
Marty, Robert, et al.. (2018). Assessing the causal impact of Chinese aid on vegetative land cover in Burundi and Rwanda under conditions of spatial imprecision. SHILAP Revista de lepidopterología. 4. 100038–100038. 10 indexed citations
11.
Goodman, Seth, et al.. (2018). GeoQuery: Integrating HPC systems and public web-based geospatial data tools. Computers & Geosciences. 122. 103–112. 60 indexed citations
12.
Runfola, Daniel Miller, Ariel BenYishay, Jeffery Tanner, et al.. (2017). A Top-Down Approach to Estimating Spatially Heterogeneous Impacts of Development Aid on Vegetative Carbon Sequestration. Sustainability. 9(3). 409–409. 11 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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