Marc E. McDill

1.4k total citations
54 papers, 1.1k citations indexed

About

Marc E. McDill is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Mechanics of Materials. According to data from OpenAlex, Marc E. McDill has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Global and Planetary Change, 28 papers in Nature and Landscape Conservation and 12 papers in Mechanics of Materials. Recurrent topics in Marc E. McDill's work include Forest Management and Policy (30 papers), Forest ecology and management (24 papers) and Forest Biomass Utilization and Management (12 papers). Marc E. McDill is often cited by papers focused on Forest Management and Policy (30 papers), Forest ecology and management (24 papers) and Forest Biomass Utilization and Management (12 papers). Marc E. McDill collaborates with scholars based in United States, Australia and Portugal. Marc E. McDill's co-authors include Sándor Tóth, Ralph L. Amateis, James C. Finley, José G. Borges, Vladimir A. Bushenkov, Kim C. Steiner, Peter J. Gould, Jordi García-Gonzalo, Susete Marques and Manuela Oliveira and has published in prestigious journals such as Journal of Environmental Management, Forest Ecology and Management and Sustainability.

In The Last Decade

Marc E. McDill

52 papers receiving 994 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc E. McDill United States 18 853 458 339 227 171 54 1.1k
Atsushi Yoshimoto Japan 14 445 0.5× 224 0.5× 162 0.5× 147 0.6× 143 0.8× 81 788
Sedat Keleş Türkiye 17 742 0.9× 315 0.7× 108 0.3× 213 0.9× 85 0.5× 51 985
Kyle Eyvindson Finland 19 909 1.1× 335 0.7× 155 0.5× 126 0.6× 166 1.0× 68 1.2k
Peder Wikström Sweden 13 522 0.6× 353 0.8× 115 0.3× 146 0.6× 62 0.4× 14 657
Michael L. Clutter United States 14 401 0.5× 363 0.8× 60 0.2× 358 1.6× 116 0.7× 35 825
Howard M. Hoganson United States 13 491 0.6× 170 0.4× 236 0.7× 109 0.5× 84 0.5× 35 576
J. Douglas Brodie United States 17 696 0.8× 369 0.8× 321 0.9× 121 0.5× 156 0.9× 38 801
J. Keith Gilless United States 17 553 0.6× 216 0.5× 124 0.4× 80 0.4× 125 0.7× 37 775
Mathieu Fortin Canada 22 1.0k 1.2× 1.1k 2.3× 161 0.5× 356 1.6× 36 0.2× 93 1.6k
James C. Fortson United States 10 558 0.7× 722 1.6× 98 0.3× 265 1.2× 46 0.3× 20 1.0k

Countries citing papers authored by Marc E. McDill

Since Specialization
Citations

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

Fields of papers citing papers by Marc E. McDill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc E. McDill. 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 Marc E. McDill. The network helps show where Marc E. McDill may publish in the future.

Co-authorship network of co-authors of Marc E. McDill

This figure shows the co-authorship network connecting the top 25 collaborators of Marc E. McDill. A scholar is included among the top collaborators of Marc E. McDill 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 Marc E. McDill. Marc E. McDill 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.
Diefenbach, Duane R., et al.. (2022). Species and physiographic factors drive Indian cucumber root and Canada mayflower plant chemistry: Implications for white-tailed deer forage quality. Journal of Environmental Management. 326(Pt A). 116545–116545. 2 indexed citations
2.
McDill, Marc E., et al.. (2015). Comparing Model I and Model II Formulations of Spatially Explicit Harvest Scheduling Models with Maximum Area Restrictions. Forest Science. 62(1). 28–37. 29 indexed citations
3.
Ramos, Maria do Rosário, Manuela Oliveira, José G. Borges, & Marc E. McDill. (2015). Statistical models for categorical data: Brief review for applications in ecology. AIP conference proceedings. 1648. 840015–840015. 3 indexed citations
4.
Dı́az-Balteiro, Luis, et al.. (2014). The Management of Industrial Forest Plantations: Theoretical Foundations and Applications. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 8 indexed citations
5.
Borges, José G., Jordi García-Gonzalo, Vladimir A. Bushenkov, et al.. (2014). Addressing Multicriteria Forest Management With Pareto Frontier Methods: An Application in Portugal. Forest Science. 60(1). 63–72. 71 indexed citations
6.
McDill, Marc E.. (2010). 2009 Symposium on Systems Analysis in Forest Resources. 2(1). 41–42. 4 indexed citations
7.
McDill, Marc E., et al.. (2010). Sawtimber Yield Tables for Pennsylvania Forest Management Planning. Northern Journal of Applied Forestry. 27(4). 140–150. 3 indexed citations
8.
Gould, Peter J., et al.. (2008). Classifying Patterns of Understory Vegetation in Mixed-Oak Forests in Two Ecoregions of Pennsylvania. Northern Journal of Applied Forestry. 25(1). 38–44. 10 indexed citations
9.
McDill, Marc E., et al.. (2006). Finding the Efficient Frontier of a Bi-Criteria, Spatially Explicit, Harvest Scheduling Problem. Forest Science. 52(1). 93–107. 48 indexed citations
10.
Fei, Songlin, Peter J. Gould, Kim C. Steiner, James C. Finley, & Marc E. McDill. (2005). Forest regeneration composition and development in upland, mixed-oak forests. Tree Physiology. 25(12). 1495–1500. 13 indexed citations
11.
Gould, Peter J., Kim C. Steiner, James C. Finley, Marc E. McDill, & Songlin Fei. (2004). The Post-harvest Competitive Environment in 13 Mixed-oak Stands in Pennsylvania. 2 indexed citations
12.
McDill, Marc E., et al.. (2003). A Mixed-Integer Formulation of the Minimum Patch Size Problem. Forest Science. 49(4). 608–618. 53 indexed citations
13.
Jacobson, Michael, et al.. (2003). Hardwood Stumpage Price Trends and Regional Market Differences in Pennsylvania. Northern Journal of Applied Forestry. 20(3). 124–130. 9 indexed citations
14.
Finley, James C., et al.. (2002). Characterizing Loggers' Forest Management Decisions. Journal of Forestry. 100(6). 8–15. 4 indexed citations
15.
McDill, Marc E., et al.. (2002). Harvest Scheduling with Area-Based Adjacency Constraints. Forest Science. 48(4). 631–642. 133 indexed citations
16.
Cao, Quang V., et al.. (2002). Developing a system of annual tree growth equations for the loblolly pine shortleaf pine type in Louisiana. Canadian Journal of Forest Research. 32(11). 2051–2059. 26 indexed citations
17.
McDill, Marc E., et al.. (2001). Using the Branch and Bound Algorithm to Solve Forest Planning Problems with Adjacency Constraints. Forest Science. 47(3). 403–418. 30 indexed citations
18.
McDill, Marc E. & Ralph L. Amateis. (1993). Fitting Discrete-Time Dynamic Models Having Any Time Interval. Forest Science. 39(3). 499–519. 3 indexed citations
19.
Hoganson, Howard M. & Marc E. McDill. (1993). More on Forest Regulation: An LP Perspective. Forest Science. 39(2). 321–347. 5 indexed citations
20.
Amateis, Ralph L. & Marc E. McDill. (1989). Developing Growth and Yield Models Using Dimensional Analysis. Forest Science. 35(2). 329–337. 10 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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