Jérome Goddard

666 total citations
57 papers, 430 citations indexed

About

Jérome Goddard is a scholar working on Ecology, Evolution, Behavior and Systematics, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Jérome Goddard has authored 57 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, Evolution, Behavior and Systematics, 16 papers in Public Health, Environmental and Occupational Health and 14 papers in Infectious Diseases. Recurrent topics in Jérome Goddard's work include Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Insect and Pesticide Research (9 papers) and Vector-borne infectious diseases (8 papers). Jérome Goddard is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Insect and Pesticide Research (9 papers) and Vector-borne infectious diseases (8 papers). Jérome Goddard collaborates with scholars based in United States, South Korea and France. Jérome Goddard's co-authors include R. Shivaji, B.R. Norment, James T. Cronin, Eun Kyoung Lee, M. Swart, J. B. Carlisle, M. Wes Schilling, Thomas W. Phillips, Xue Zhang and Yan L. Campbell and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Naturalist and Annals of the New York Academy of Sciences.

In The Last Decade

Jérome Goddard

53 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jérome Goddard United States	13	125	117	116	103	98	57	430
Moïse Kagbadouno France	10	113 0.9×	66 0.6×	186 1.6×	122 1.2×	33 0.3×	19	369
Kourosh Arzamani Iran	14	142 1.1×	110 0.9×	259 2.2×	84 0.8×	50 0.5×	39	443
Simone Nambanya Japan	13	114 0.9×	52 0.4×	267 2.3×	32 0.3×	32 0.3×	14	425
David N. Gaines United States	12	225 1.8×	255 2.2×	197 1.7×	59 0.6×	86 0.9×	19	389
Tian Ma China	12	45 0.4×	71 0.6×	67 0.6×	29 0.3×	37 0.4×	42	326
Miriam Berzunza‐Cruz Mexico	15	177 1.4×	114 1.0×	435 3.8×	113 1.1×	29 0.3×	21	577
Armando Ulloa Mexico	12	55 0.4×	246 2.1×	436 3.8×	65 0.6×	42 0.4×	22	542
Anne Vardo-Zalik United States	14	174 1.4×	47 0.4×	436 3.8×	22 0.2×	39 0.4×	19	514
Ashraf Said Egypt	10	195 1.6×	67 0.6×	27 0.2×	54 0.5×	62 0.6×	28	293
Anderson Castro Soares de Oliveira Brazil	9	108 0.9×	66 0.6×	25 0.2×	31 0.3×	47 0.5×	33	322

Countries citing papers authored by Jérome Goddard

Since Specialization

Citations

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

Fields of papers citing papers by Jérome Goddard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérome Goddard

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cronin, James T., et al.. (2024). Predator-induced prey dispersal can cause hump-shaped density-area relationships in prey populations. Journal of Mathematical Biology. 88(2). 20–20. 1 indexed citations

Cronin, James T., et al.. (2023). Density‐dependent within‐patch movement behavior of two competing species. Ecology and Evolution. 13(11). e10753–e10753. 3 indexed citations

Goddard, Jérome, et al.. (2023). On the effects of density-dependent emigration on ecological models with logistic and weak Allee type growth terms. Discrete and Continuous Dynamical Systems - B. 29(3). 1501–1524.

Cronin, James T., et al.. (2020). Modeling the effects of trait-mediated dispersal on coexistence of mutualists. Mathematical Biosciences & Engineering. 17(6). 7838–7861. 2 indexed citations

Goddard, Jérome, et al.. (2020). A diffusive weak Allee effect model with U-shaped emigration and matrix hostility. Discrete and Continuous Dynamical Systems - B. 26(10). 5509–5517. 2 indexed citations

Pons‐Tostivint, Elvire, Laëtitia Daubisse‐Marliac, Pascale Grosclaude, et al.. (2019). Multidisciplinary team meeting and EUSOMA quality indicators in breast cancer care: A French regional multicenter study. The Breast. 46. 170–177. 13 indexed citations

Cronin, James T., Jérome Goddard, & R. Shivaji. (2019). Effects of Patch–Matrix Composition and Individual Movement Response on Population Persistence at the Patch Level. Bulletin of Mathematical Biology. 81(10). 3933–3975. 18 indexed citations

Cronin, James T., et al.. (2019). Modeling the effects of density dependent emigration, weak Allee effects, and matrix hostility on patch-level population persistence. Mathematical Biosciences & Engineering. 17(2). 1718–1742. 12 indexed citations

Goddard, Jérome, et al.. (2018). Bifurcation curves for singular and nonsingular problems with nonlinear boundary conditions. SHILAP Revista de lepidopterología. 8 indexed citations

10.

Lamy, Sébastien, Rosine Guimbaud, Laurence Digue, et al.. (2018). Are there variations in adherence to colorectal cancer clinical guidelines depending on treatment place and recommendation novelty? The French EvaCCoR observational study. Clinics and Research in Hepatology and Gastroenterology. 43(3). 346–356. 4 indexed citations

11.

Swart, M., J. B. Carlisle, & Jérome Goddard. (2016). Using predicted 30 day mortality to plan postoperative colorectal surgery care: a cohort study. British Journal of Anaesthesia. 118(1). 100–104. 26 indexed citations

12.

Goddard, Jérome & R. Shivaji. (2014). Halo-shaped bifurcation curves in ecological systems. SHILAP Revista de lepidopterología. 2 indexed citations

13.

Goddard, Jérome, Eun Kyoung Lee, & R. Shivaji. (2010). Population models with nonlinear boundary conditions. SHILAP Revista de lepidopterología. 7 indexed citations

14.

Goddard, Jérome, R. Shivaji, & Eun Kyoung Lee. (2010). Diffusive logistic equation with non-linear boundary conditions. Journal of Mathematical Analysis and Applications. 375(1). 365–370. 9 indexed citations

15.

Goddard, Jérome, et al.. (2009). Survey of Mosquito Control Knowledge, Attitudes, and Practices among County and Municipal Programs in Mississippi. Journal of the American Mosquito Control Association. 25(3). 361–366. 2 indexed citations

16.

O’Reilly, Michael, et al.. (2003). Physician Knowledge of the Diagnosis and Management of Rocky Mountain Spotted Fever. Annals of the New York Academy of Sciences. 990(1). 295–301. 29 indexed citations

17.

Goddard, Jérome, et al.. (1996). Seasonal Activity and Relative Abundance of Amblyomma americanum in Mississippi. Journal of Medical Entomology. 33(1). 128–131. 30 indexed citations

18.

Goddard, Jérome & B.R. Norment. (1985). A Guide to the ticks of Mississippi. 13 indexed citations

19.

Goddard, Jérome & B.R. Norment. (1983). Notes on the geographical distribution of the Gulf Coast tick, Amblyomma maculatum (Koch) [Acari: Ixodidae]. Entomological News. 94. 103–104. 30 indexed citations

20.

Stewart, W.K., et al.. (1969). Needles for haemodialysis.. BMJ. 1(5644). 644.2–645. 1 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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