Daniel A. Griffith

16.6k total citations · 2 hit papers
282 papers, 10.2k citations indexed

About

Daniel A. Griffith is a scholar working on Economics and Econometrics, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Daniel A. Griffith has authored 282 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 189 papers in Economics and Econometrics, 50 papers in Environmental Engineering and 49 papers in Global and Planetary Change. Recurrent topics in Daniel A. Griffith's work include Spatial and Panel Data Analysis (175 papers), Economic and Environmental Valuation (59 papers) and Regional Economics and Spatial Analysis (53 papers). Daniel A. Griffith is often cited by papers focused on Spatial and Panel Data Analysis (175 papers), Economic and Environmental Valuation (59 papers) and Regional Economics and Spatial Analysis (53 papers). Daniel A. Griffith collaborates with scholars based in United States, United Kingdom and Canada. Daniel A. Griffith's co-authors include Arthur Getis, Pedro R. Peres‐Neto, Yongwan Chun, Luc Anselin, Michael Tiefelsdorf, Robert Haining, David L. Johnson, Manfréd M. Fischer, Daisuke Murakami and Giuseppe Arbia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Ecology.

In The Last Decade

Daniel A. Griffith

268 papers receiving 9.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Spatial Econometrics: Methods and Models

1989 1.5k citations Daniel A. Griffith et al. profile →
SPATIAL MODELING IN ECOLOGY: THE FLEXIBILITY OF EIGENFUNCTION SPATIAL ANALYSES

2006 517 citations Daniel A. Griffith et al. profile →

Peers

Countries citing papers authored by Daniel A. Griffith

Since Specialization

Citations

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

Fields of papers citing papers by Daniel A. Griffith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Griffith. 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 Daniel A. Griffith. The network helps show where Daniel A. Griffith may publish in the future.

Co-authorship network of co-authors of Daniel A. Griffith

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Majority Theorem for the Uncapacitated p = 2 Median Problem and Local Spatial Autocorrelation 2025 ·Mathematics ·Daniel A. Griffith, Yongwan Chun, (unknown)	1
2	Self-correlated spatial random variables: From an auto- to a sui- model respecification 2024 ·Spatial Statistics ·Daniel A. Griffith	2
3	Pre-Arrival Care of the Out-of-Hospital Cardiac Arrest Victim 2023 ·Emergency Medicine Clinics of North America ·(unknown), Daniel A. Griffith, Corey M. Slovis, William J. Brady	0
4	Effects of geographically stratified random sampling initial solutions on solving a continuous surface p-median location problem using the ALTERN heuristic 2023 ·Spatial Statistics ·Chang-Ho Lee, Daniel A. Griffith, Yongwan Chun, (unknown)	2
5	Spectral geometry and Riemannian manifold mesh approximations: some autocorrelation lessons from spatial statistics 2023 ·Journal of Mathematics and the Arts ·Daniel A. Griffith	0
6	Some Comments about Zero and Non-Zero Eigenvalues from Connected Undirected Planar Graph Adjacency Matrices 2023 ·SHILAP Revista de lepidopterología ·Daniel A. Griffith	1
7	Spatial autocorrelation informed approaches to solving location–allocation problems 2022 ·Spatial Statistics ·Daniel A. Griffith, Yongwan Chun, (unknown)	14
8	Spatial Filtering and Eigenvector Stability: Space-Time Models for German Unemployment Data 2021 ·Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) ·Roberto Patuelli, Daniel A. Griffith, Michael Tiefelsdorf, Peter Nijkamp	5
9	A Moran eigenvector spatial filtering specification of entropy measures 2021 ·Papers of the Regional Science Association ·Daniel A. Griffith, Yongwan Chun, Jan Hauke	4
10	Healing the Harm: The Effectiveness of Restorative Justice in Response to Clergy Abuse 2020 ·UST Research Online (University of St. Thomas - Minnesota) ·Daniel A. Griffith	0
11	The Importance of Scale in Spatially Varying Coefficient Modeling 2018 ·Annals of the American Association of Geographers ·Daisuke Murakami, Binbin Lu, Paul Harris, Chris Brunsdon, Martin Charlton, Tomoki Nakaya, Daniel A. Griffith	64
12	Spatial autocorrelation and Art 2016 ·SHILAP Revista de lepidopterología ·Daniel A. Griffith	1
13	A Bayesian Poisson specification with a conditionally autoregressive prior and a residual Morans coefficient minimization criterion for quantitating leptokurtic distributions in regression-based multi-drug resistant tuberculosis treatment protocols 2013 ·Journal of Public Health and Epidemiology ·Benjamin G. Jacob, Fiorella Krapp, (unknown), Nanhua Zhang, (unknown), (unknown), Daniel A. Griffith, Eduardo Gotuzzo, Robert J. Novak	1
14	A Random-effects Regression Specification Using a Local Intercept Term and a Global Mean for Forecasting Malarial Prevalance 2013 ·Benjamin G. Jacob, (unknown), (unknown), Daniel A. Griffith, (unknown), Robert J. Novak	2
15	Space, time, and space-time eigenvector filter specifications that account for autocorrelation 2012 ·Estadística española ·Daniel A. Griffith	23
16	Modeling Spatial Autocorrelation in Spatial Interaction Data: A Comparison of Spatial Econometric and Spatial Filtering Specifications 2006 ·Econstor (Econstor) ·Manfréd M. Fischer, Daniel A. Griffith	5
17	Effective Geographic Sample Size in the Presence of Spatial Autocorrelation 2005 ·Annals of the Association of American Geographers ·Daniel A. Griffith	133
18	A casebook for spatial statistical data analysis : a compilation of analyses of different thematic data sets 1999 ·Oxford University Press eBooks ·Daniel A. Griffith, (unknown), J. Keith Ord, (unknown)	47
19	Econometric advances in spatial modelling and methodology : essays in honour of Jean Paelinck 1998 ·eCommons - AKU (Aga Khan University) ·Daniel A. Griffith, Carl Amrhein, (unknown)	8
20	Spatial Statistics: Past, Present, and Future 1990 ·Deep Blue (University of Michigan) ·B. D. Ripley, J. K. Ord, Luc Anselin, Robert Haining, Richard J. Martin, Daniel Wartenberg, Jean H. P. Paelinck, Daniel A. Griffith, Kanti V. Mardia, (unknown), Sylvia Richardson, Graham Upton, Patrick Doreian	98

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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