A. Dyk

1.7k total citations · 1 hit paper
44 papers, 1.2k citations indexed

About

A. Dyk is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, A. Dyk has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Ecology, 26 papers in Environmental Engineering and 13 papers in Global and Planetary Change. Recurrent topics in A. Dyk's work include Remote Sensing in Agriculture (28 papers), Remote Sensing and LiDAR Applications (25 papers) and Remote-Sensing Image Classification (8 papers). A. Dyk is often cited by papers focused on Remote Sensing in Agriculture (28 papers), Remote Sensing and LiDAR Applications (25 papers) and Remote-Sensing Image Classification (8 papers). A. Dyk collaborates with scholars based in Canada, United States and Netherlands. A. Dyk's co-authors include D.G. Goodenough, Tian Han, K. Olaf Niemann, Jay Pearlman, Geordie Hobart, C. P. West, Hao Chen, Michael J. Murdoch, Ronald J. Hall and Patrick Griffiths and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Environmental Reviews.

In The Last Decade

A. Dyk

42 papers receiving 1.1k 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.

Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science

2014 359 citations Geordie Hobart, Ronald J. Hall et al. Canadian Journal of Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Dyk Canada	12	682	523	442	298	225	44	1.2k
Y. E. Shimabukuro Brazil	17	764 1.1×	529 1.0×	417 0.9×	398 1.3×	219 1.0×	40	1.3k
H. Peter White Canada	17	873 1.3×	511 1.0×	583 1.3×	176 0.6×	148 0.7×	37	1.3k
Craig A. Coburn Canada	18	853 1.3×	415 0.8×	534 1.2×	217 0.7×	257 1.1×	47	1.3k
Kerry Halligan United States	8	466 0.7×	422 0.8×	370 0.8×	272 0.9×	185 0.8×	10	910
Andreas Rabe Germany	10	759 1.1×	612 1.2×	343 0.8×	432 1.4×	336 1.5×	16	1.3k
Marcel Schwieder Germany	16	887 1.3×	510 1.0×	385 0.9×	213 0.7×	238 1.1×	35	1.2k
G. Scheer United States	5	876 1.3×	600 1.1×	458 1.0×	450 1.5×	331 1.5×	9	1.4k
Jan Stuckens Belgium	15	683 1.0×	442 0.8×	436 1.0×	303 1.0×	206 0.9×	27	1.1k
David Morin France	13	1.2k 1.7×	618 1.2×	548 1.2×	291 1.0×	266 1.2×	26	1.5k
Jaime Nickeson United States	14	1.1k 1.6×	961 1.8×	685 1.5×	245 0.8×	344 1.5×	32	1.7k

Countries citing papers authored by A. Dyk

Since Specialization

Citations

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

Fields of papers citing papers by A. Dyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Dyk

This figure shows the co-authorship network connecting the top 25 collaborators of A. Dyk. A scholar is included among the top collaborators of A. Dyk 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 A. Dyk. A. Dyk 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

1.

Dyk, A., et al.. (2018). Pine Shoot Beetle, Tomicus Piniperda (Linnaeus): Analysis of Regulatory Options for Canada. 1 indexed citations

2.

Kurz, Werner A., Cindy Shaw, Céline Boisvenue, et al.. (2013). Carbon in Canada’s boreal forest — A synthesis. Environmental Reviews. 21(4). 260–292. 248 indexed citations

3.

Goodenough, D.G., K. Olaf Niemann, Tian Han, et al.. (2009). Comparison of AVIRIS and AISA for chemistry mapping. 18. I–80. 1 indexed citations

4.

Goodenough, D.G., et al.. (2008). Comparison of Aviris and AISA Airborne Hyperspectral Sensing for Above-Ground Forest Carbon Mapping. II–129. 15 indexed citations

5.

Goodenough, D.G., Tian Han, & A. Dyk. (2008). Comparing and validating spectral unmixing algorithms with AVIRIS imagery. Canadian Journal of Remote Sensing. 34(sup1). S82–S91. 7 indexed citations

6.

Goodenough, D.G., et al.. (2008). Data Fusion Study Between Polarimetric SAR, Hyperspectral and Lidar Data for Forest Information. cd. II–281. 9 indexed citations

7.

Dyk, A., D.G. Goodenough, K. Olaf Niemann, Geordie Hobart, & Hao Chen. (2007). A CHRIS triplet for forest attributes. 1. 1543–1547. 2 indexed citations

8.

Dyk, A., et al.. (2006). Multi-Temporal, Multi-Angle Evaluation with CHRIS of Coastal Forests. 5. 108–111. 3 indexed citations

9.

Goodenough, D.G., et al.. (2005). Multi-temporal evaluation with CHRIS of coastal forests. 5. 3557–3560. 1 indexed citations

10.

Goodenough, D.G., Hao Chen, A. Dyk, & Tian Han. (2005). Evaluation of multi-temporal and multi-polarization ASAR for Boreal Forests in Hinton. 6–9. 2 indexed citations

11.

Li, Jingyang, D.G. Goodenough, & A. Dyk. (2005). Mapping relative water content in Douglas-Fir with AVIRIS and a canopy model. 5. 3572–3574. 3 indexed citations

12.

Goodenough, D.G., Tian Han, Jay Pearlman, A. Dyk, & S. E. McDonald. (2004). Forest chemistry mapping with hyperspectral data. 395–398. 6 indexed citations

13.

Goodenough, D.G., Hao Chen, A. Dyk, et al.. (2004). EVEOSD forest information products from AVIRIS and Hyperion. 1. 284–287. 10 indexed citations

14.

Goodenough, D.G., Jay Pearlman, Hao Chen, et al.. (2004). Forest information from hyperspectral sensing. 4. 2585–2589. 18 indexed citations

15.

Chen, Hao, D.G. Goodenough, A. Dyk, S. E. McDonald, & Tian Han. (2004). CHANGE DETECTION WITH ALI AND LANDSAT SATELLITE DATA. 89–97. 3 indexed citations

16.

Goodenough, D.G., A. Bhogal, A. Dyk, et al.. (2003). Monitoring forests with Hyperion and ALI. 2. 882–885. 15 indexed citations

17.

Goodenough, D.G., et al.. (2003). Detection and correction of abnormal pixels in Hyperion images. 3. 1327–1330. 67 indexed citations

18.

Goodenough, D.G., et al.. (2002). Extraction of forest attribute information using multisensor data fusion techniques: a case study for a test site on Vancouver Island, British Columbia. 54. 674–680. 3 indexed citations

19.

Bhogal, A., D.G. Goodenough, François A. Gougeon, A. Dyk, & K. Olaf Niemann. (2002). AVIRIS imagery for forest attribute information: anisotropic effects and limitations in multitemporal data. 4. 1388–1392. 3 indexed citations

20.

Goodenough, D.G., A. Bhogal, A. Dyk, et al.. (2002). Determination of above ground carbon in Canada's forests-a multi-source approach. 3. 949–953. 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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