Glenn Lahodny

13 total papers · 427 total citations
11 papers, 284 citations indexed

About

Glenn Lahodny is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Glenn Lahodny has authored 11 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Modeling and Simulation, 7 papers in Public Health, Environmental and Occupational Health and 3 papers in Infectious Diseases. Recurrent topics in Glenn Lahodny's work include COVID-19 epidemiological studies (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and Salmonella and Campylobacter epidemiology (3 papers). Glenn Lahodny is often cited by papers focused on COVID-19 epidemiological studies (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and Salmonella and Campylobacter epidemiology (3 papers). Glenn Lahodny collaborates with scholars based in United States, Indonesia and Canada. Glenn Lahodny's co-authors include Linda J. S. Allen, Renata Ivanek, Roshani Gautam, Majid Bani-Yaghoub, Edy Soewono, Markus J. Peterson, Rupesh K. Gautam, Paul S. Morley, Nuning Nuraini and Raju Gautam and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Bulletin of Mathematical Biology.

In The Last Decade

Glenn Lahodny

11 papers receiving 272 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Glenn Lahodny	164	145	87	72	28	11	284
Victoria C. Barclay	162 1.0×	75 0.5×	107 1.2×	39 0.5×	61 2.2×	9	326
Suzanne L. Robertson	137 0.8×	133 0.9×	55 0.6×	72 1.0×	34 1.2×	21	292
L.A. Real	86 0.5×	23 0.2×	115 1.3×	77 1.1×	58 2.1×	10	286
Diane Pople	79 0.5×	61 0.4×	15 0.2×	80 1.1×	16 0.6×	12	213
Luke Blackwell	56 0.3×	26 0.2×	63 0.7×	98 1.4×	143 5.1×	5	310
Edivaldo Costa Sousa	169 1.0×	24 0.2×	48 0.6×	204 2.8×	35 1.3×	22	326
Lucy M. Li	70 0.4×	29 0.2×	19 0.2×	79 1.1×	37 1.3×	11	177
Jean-Vivien Mombouli	67 0.4×	27 0.2×	12 0.1×	127 1.8×	51 1.8×	10	233
Xiaowu Jiang	217 1.3×	45 0.3×	69 0.8×	47 0.7×	30 1.1×	21	310
Elibariki R. Mwakapeje	158 1.0×	19 0.1×	46 0.5×	78 1.1×	12 0.4×	10	231

Countries citing papers authored by Glenn Lahodny

Since Specialization

Citations

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

Fields of papers citing papers by Glenn Lahodny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glenn Lahodny

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

All Works

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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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