Damon Conover

414 total citations
23 papers, 316 citations indexed

About

Damon Conover is a scholar working on Computer Vision and Pattern Recognition, Archeology and Aerospace Engineering. According to data from OpenAlex, Damon Conover has authored 23 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Archeology and 9 papers in Aerospace Engineering. Recurrent topics in Damon Conover's work include Cultural Heritage Materials Analysis (9 papers), Conservation Techniques and Studies (8 papers) and Robotics and Sensor-Based Localization (7 papers). Damon Conover is often cited by papers focused on Cultural Heritage Materials Analysis (9 papers), Conservation Techniques and Studies (8 papers) and Robotics and Sensor-Based Localization (7 papers). Damon Conover collaborates with scholars based in United States, Belgium and Netherlands. Damon Conover's co-authors include John K. Delaney, Kathryn A. Dooley, Murray H. Loew, Lisha Glinsman, Koen Janssens, Matthias Alfeld, Joris Dik, Jason G. Zeibel, Annelies van Loon and Geert Van der Snickt and has published in prestigious journals such as Angewandte Chemie International Edition, Optics Express and IEEE Access.

In The Last Decade

Damon Conover

23 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Damon Conover United States 9 244 198 143 40 32 23 316
J. R. J. van Asperen de Boer Netherlands 8 253 1.0× 221 1.1× 91 0.6× 23 0.6× 9 0.3× 38 344
Andrea Del Mastio Italy 9 71 0.3× 64 0.3× 31 0.2× 211 5.3× 2 0.1× 15 336
Leszek Krzemień Poland 9 108 0.4× 125 0.6× 103 0.7× 20 0.5× 22 304
Hilda Deborah Norway 7 57 0.2× 27 0.1× 10 0.1× 58 1.4× 1 0.0× 23 188
G. Salemi Italy 6 11 0.0× 8 0.0× 5 0.0× 13 0.3× 24 89
Yvain Quéau France 8 5 0.0× 6 0.0× 192 4.8× 5 0.2× 27 250
M. Ferri Spain 7 6 0.0× 7 0.0× 2 0.0× 6 0.1× 15 130
Edward A. Martin United States 7 10 0.0× 13 0.3× 3 0.1× 12 334
José A. P. Morgado Portugal 9 2 0.0× 5 0.0× 16 0.4× 42 279
Friedrich Kottler United States 5 3 0.0× 4 0.0× 12 0.3× 6 0.2× 5 109

Countries citing papers authored by Damon Conover

Since Specialization
Citations

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

Fields of papers citing papers by Damon Conover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damon Conover

This figure shows the co-authorship network connecting the top 25 collaborators of Damon Conover. A scholar is included among the top collaborators of Damon Conover 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 Damon Conover. Damon Conover 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.
Melo, Celso P. de, et al.. (2023). Synthetic data for automatic target recognition from small drones. 26–26. 1 indexed citations
2.
Shen, Yi‐Ting, et al.. (2023). Archangel: A Hybrid UAV-Based Human Detection Benchmark With Position and Pose Metadata. IEEE Access. 11. 80958–80972. 5 indexed citations
3.
Guan, Tianrui, Xijun Wang, Jing Liang, et al.. (2023). CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition. 11301–11310. 5 indexed citations
4.
Sathyamoorthy, Adarsh Jagan, Tianrui Guan, Mason W. Russell, et al.. (2023). VERN: Vegetation-Aware Robot Navigation in Dense Unstructured Outdoor Environments. 11233–11240. 11 indexed citations
5.
Lee, Eung-Joo, Damon Conover, Yi‐Ting Shen, et al.. (2022). Archangel dataset: UAV-based imagery with position and pose metadata. 68–68. 1 indexed citations
6.
Conover, Damon, et al.. (2022). MA3: Model-Accuracy Aware Anytime Planning with Simulation Verification for Navigating Complex Terrains. Proceedings of the International Symposium on Combinatorial Search. 15(1). 65–73. 2 indexed citations
7.
Yan, Jie, et al.. (2020). Synthetic Dataset Generation and Adaptation for Human Detection. 1 indexed citations
8.
Conover, Damon & John F. Dammann. (2018). 3D ground/air sensor common operating picture. 1019004. 3–3. 3 indexed citations
9.
Dooley, Kathryn A., Annelies van Loon, Petria Noble, et al.. (2018). Separating two painting campaigns in Saul and David, attributed to Rembrandt, using macroscale reflectance and XRF imaging spectroscopies and microscale paint analysis. Heritage Science. 6(1). 13 indexed citations
10.
11.
Conover, Damon, et al.. (2017). Interoperability at the tactical edge: Lessons learned from Enterprise Challenge 2016. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10190. 1019004–1019004. 1 indexed citations
12.
Conover, Damon, et al.. (2017). Three-Dimensional Sensor Common Operating Picture (3-D Sensor COP). 2 indexed citations
13.
Dooley, Kathryn A., et al.. (2016). Standoff chemical imaging finds evidence for Jackson Pollock's selective use of alkyd and oil binding media in a famous ‘drip’ painting. Analytical Methods. 9(1). 28–37. 25 indexed citations
14.
Conover, Damon, et al.. (2015). Experimental study on merits of virtual cleaning of paintings with aged varnish. Optics Express. 23(26). 33836–33836. 14 indexed citations
15.
Dooley, Kathryn A., Damon Conover, Lisha Glinsman, & John K. Delaney. (2014). Complementary Standoff Chemical Imaging to Map and Identify Artist Materials in an Early Italian Renaissance Panel Painting. Angewandte Chemie International Edition. 53(50). 13775–13779. 61 indexed citations
16.
Dooley, Kathryn A., Damon Conover, Lisha Glinsman, & John K. Delaney. (2014). Complementary Standoff Chemical Imaging to Map and Identify Artist Materials in an Early Italian Renaissance Panel Painting. Angewandte Chemie. 126(50). 13995–13999. 25 indexed citations
17.
Conover, Damon, John K. Delaney, & Murray H. Loew. (2013). Accurate accommodation of scan-mirror distortion in the registration of hyperspectral image cubes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8743. 87431S–87431S. 3 indexed citations
18.
Conover, Damon, John K. Delaney, & Murray H. Loew. (2013). Automatic registration and mosaicking of conservation images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8790. 87900A–87900A. 4 indexed citations
19.
Conover, Damon, John K. Delaney, Paola Ricciardi, & Murray H. Loew. (2012). Automatic control-point selection for image registration using disparity fitting. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8314. 831425–831425. 1 indexed citations
20.
Conover, Damon, John K. Delaney, Paola Ricciardi, & Murray H. Loew. (2011). Towards automatic registration of technical images of works of art. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7869. 78690C–78690C. 7 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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