D. M. Benjamin

1.8k total citations
97 papers, 1.2k citations indexed

About

D. M. Benjamin is a scholar working on Ecology, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, D. M. Benjamin has authored 97 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Ecology, 53 papers in Insect Science and 33 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in D. M. Benjamin's work include Forest Insect Ecology and Management (59 papers), Insect-Plant Interactions and Control (31 papers) and Entomological Studies and Ecology (13 papers). D. M. Benjamin is often cited by papers focused on Forest Insect Ecology and Management (59 papers), Insect-Plant Interactions and Control (31 papers) and Entomological Studies and Ecology (13 papers). D. M. Benjamin collaborates with scholars based in United States, Canada and United Kingdom. D. M. Benjamin's co-authors include Robert A. Haack, Fumio Matsumura, David V. Budescu, Kimberly M. Sogi, Jonathan Braverman, Daniel K. Nomura, Sarah A. Stanley, H. C. Coppel, Michael R. Wagner and Han‐Hui Por and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

D. M. Benjamin

83 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. M. Benjamin United States 18 565 469 341 166 143 97 1.2k
D. A. Briscoe Australia 23 302 0.5× 125 0.3× 425 1.2× 353 2.1× 89 0.6× 40 1.4k
A. Campbell United Kingdom 22 536 0.9× 1.2k 2.6× 566 1.7× 469 2.8× 694 4.9× 51 2.4k
Brian Clarke United Kingdom 17 375 0.7× 328 0.7× 180 0.5× 271 1.6× 52 0.4× 35 1.3k
S. Makino Japan 25 433 0.8× 572 1.2× 801 2.3× 456 2.7× 361 2.5× 122 2.0k
Daniel Lawson United States 14 233 0.4× 295 0.6× 114 0.3× 695 4.2× 197 1.4× 22 1.4k
George B. Johnson United States 19 239 0.4× 118 0.3× 357 1.0× 501 3.0× 505 3.5× 42 1.5k
Takayoshi Nishida Japan 23 301 0.5× 623 1.3× 1.1k 3.1× 392 2.4× 318 2.2× 97 1.9k
Andrej Blejec Slovenia 23 298 0.5× 128 0.3× 251 0.7× 500 3.0× 542 3.8× 62 1.9k
Stephen F. Hubbard United Kingdom 21 202 0.4× 992 2.1× 546 1.6× 84 0.5× 533 3.7× 49 1.7k
Mary G. Egan United States 17 455 0.8× 156 0.3× 383 1.1× 542 3.3× 138 1.0× 22 1.4k

Countries citing papers authored by D. M. Benjamin

Since Specialization
Citations

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

Fields of papers citing papers by D. M. Benjamin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. M. Benjamin. 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 D. M. Benjamin. The network helps show where D. M. Benjamin may publish in the future.

Co-authorship network of co-authors of D. M. Benjamin

This figure shows the co-authorship network connecting the top 25 collaborators of D. M. Benjamin. A scholar is included among the top collaborators of D. M. Benjamin 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 D. M. Benjamin. D. M. Benjamin 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.
Sethi, Rajiv, et al.. (2024). Evaluating Prediction Mechanisms: A Profitability Test. 29–40.
2.
Benjamin, D. M., Spencer Phillips Hey, Amanda MacPherson, et al.. (2022). Principal investigators over-optimistically forecast scientific and operational outcomes for clinical trials. PLoS ONE. 17(2). e0262862–e0262862. 6 indexed citations
3.
Benjamin, D. M., et al.. (2020). Comparison of Patient and Expert Perceptions of the Attainment of Research Milestones in Parkinson's Disease. Movement Disorders. 36(1). 171–177. 2 indexed citations
4.
Benjamin, D. M., David R. Mandel, T. Barnes, et al.. (2020). Can Oncologists Predict the Efficacy of Treatments in Randomized Trials?. The Oncologist. 26(1). 56–62. 10 indexed citations
5.
King, Sean W., Chih‐Hao Lee, Y.H. Lin, et al.. (2018). Measurement of the vacuum-ultraviolet absorption spectrum of low-k dielectrics using X-ray reflectivity. Applied Physics Letters. 112(8). 5 indexed citations
6.
Rauf, Aunu & D. M. Benjamin. (2017). Spatial Distribution of Jack Pine Cones and Those Attacked by Insects. The Great Lakes Entomologist. 16(4).
8.
Minkoff, Benjamin B., et al.. (2017). Plasma-Generated OH Radical Production for Analyzing Three-Dimensional Structure in Protein Therapeutics. Scientific Reports. 7(1). 12946–12946. 40 indexed citations
9.
Zheng, Hua, Xiangyu Guo, D. M. Benjamin, et al.. (2016). Nonthermal combined ultraviolet and vacuum-ultraviolet curing process for organosilicate dielectrics. Applied Physics Letters. 108(24). 3 indexed citations
10.
Benjamin, D. M., et al.. (2012). Comparatively Assessing the Use of Blackboard versus Desire2Learn: Faculty Perceptions of the Online Tools.. Information Systems Education Journal. 10(3). 47–54. 1 indexed citations
11.
Benjamin, D. M., et al.. (2011). COMPARATIVELY ASSESSING THE USE OF BLACKBOARD VERSUS DESIRE 2 LEARN: STUDENT PERCEPTIONS OF THE ONLINE TOOLS. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Benjamin, D. M., et al.. (2011). Assessing Blackboard: Improving Online Instructional Delivery. Information Systems Education Journal. 9(4). 20–26. 13 indexed citations
14.
Rauf, Abdur, D. M. Benjamin, & Robert A. Cecich. (1985). Insects Affecting Seed Production of Jack Pine, and Life Tables of Conelet and Cone Mortality in Wisconsin. Forest Science. 31(2). 271–281. 7 indexed citations
15.
Benjamin, D. M., et al.. (1984). The chemical feeding ecology ofNeodiprion dubiosus schedl,N. rugifrons midd., andN. lecontei (Fitch) on jack pine (Pinus banksiana lamb.). Journal of Chemical Ecology. 10(7). 1071–1079. 17 indexed citations
16.
Haack, Robert A., et al.. (1983). Buprestidae, Cerambycidae, and Scolytidae Associated with Successive Stages of Agrilus Bilineatus (Coleoptera: Buprestidae) Infestation of Oaks in Wisconsin. The Great Lakes Entomologist. 16(2). 3. 13 indexed citations
17.
Wagner, Michael R., et al.. (1983). Influence of diterpene resin acids on feeding and growth of larch sawfly,Pristiphora erichsonii (Hartig). Journal of Chemical Ecology. 9(1). 119–127. 47 indexed citations
18.
Benjamin, D. M., et al.. (1981). Evaluation of Adult Cottonwood Leaf Beetle, Chrysomela Scripta (Coleoptera: Chrysomelidae), Feeding Preference for Hybrid Poplars. The Great Lakes Entomologist. 14(4). 4. 19 indexed citations
19.
Haack, Robert A., et al.. (1981). Observations of the Biology of Phasgonophora Sulcata (Hymenoptera: Chalcididae), a Larval Parasitoid of the Twolined Chestnut Borer, Agrilus Bilineatus (Coleoptera: Buprestidae), in Wisconsin. The Great Lakes Entomologist. 14(2). 113–116. 14 indexed citations
20.
Goyer, Richard A. & D. M. Benjamin. (1972). Influence of Soil Fertility on Infestation of Jack Pine Plantations by the Pine Root Weevil. Forest Science. 18(2). 139–147. 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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