Maja Kucharczyk

680 total citations
9 papers, 466 citations indexed

About

Maja Kucharczyk is a scholar working on Environmental Engineering, Geology and Space and Planetary Science. According to data from OpenAlex, Maja Kucharczyk has authored 9 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Environmental Engineering, 5 papers in Geology and 4 papers in Space and Planetary Science. Recurrent topics in Maja Kucharczyk's work include 3D Surveying and Cultural Heritage (5 papers), Remote Sensing and LiDAR Applications (5 papers) and Archaeological Research and Protection (4 papers). Maja Kucharczyk is often cited by papers focused on 3D Surveying and Cultural Heritage (5 papers), Remote Sensing and LiDAR Applications (5 papers) and Archaeological Research and Protection (4 papers). Maja Kucharczyk collaborates with scholars based in Canada and France. Maja Kucharczyk's co-authors include Chris H. Hugenholtz, Paul R. Nesbit, Thomas E. Barchyn, Geoffrey J. Hay, Owen W. Brown, T. A. Fox, Stephen M. Hubbard, Paul R. Durkin and Christopher H. Hugenholtz and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and Remote Sensing.

In The Last Decade

Maja Kucharczyk

9 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maja Kucharczyk Canada	8	183	147	131	72	70	9	466
Joan-Cristian Padró Spain	10	255 1.4×	163 1.1×	112 0.9×	150 2.1×	85 1.2×	18	512
Jyun-Ping Jhan Taiwan	10	159 0.9×	139 0.9×	98 0.7×	80 1.1×	68 1.0×	17	400
Maria Alicandro Italy	12	190 1.0×	260 1.8×	127 1.0×	44 0.6×	48 0.7×	24	584
Donatella Dominici Italy	14	238 1.3×	304 2.1×	175 1.3×	60 0.8×	75 1.1×	40	832
Alberto Beinat Italy	11	161 0.9×	148 1.0×	76 0.6×	143 2.0×	80 1.1×	25	498
Jiayuan Lin China	11	280 1.5×	105 0.7×	69 0.5×	139 1.9×	123 1.8×	30	484
M. V. Peppa United Kingdom	14	234 1.3×	234 1.6×	81 0.6×	40 0.6×	52 0.7×	27	513
Petra Helmholz Australia	13	217 1.2×	186 1.3×	54 0.4×	107 1.5×	49 0.7×	68	459
Kuifeng Luan China	10	184 1.0×	185 1.3×	121 0.9×	37 0.5×	36 0.5×	30	464
José Juan Arranz Justel Spain	7	200 1.1×	143 1.0×	59 0.5×	81 1.1×	50 0.7×	12	358

Countries citing papers authored by Maja Kucharczyk

Since Specialization

Citations

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

Fields of papers citing papers by Maja Kucharczyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Kucharczyk

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

All Works

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9 of 9 papers shown

1.

Hugenholtz, Chris H., et al.. (2021). Weather constraints on global drone flyability. Scientific Reports. 11(1). 12092–12092. 83 indexed citations

2.

Kucharczyk, Maja & Chris H. Hugenholtz. (2021). Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities. Remote Sensing of Environment. 264. 112577–112577. 109 indexed citations

3.

Kucharczyk, Maja, et al.. (2020). Geographic Object-Based Image Analysis: A Primer and Future Directions. Remote Sensing. 12(12). 2012–2012. 63 indexed citations

4.

Kucharczyk, Maja & Chris H. Hugenholtz. (2019). Pre-disaster mapping with drones: an urban case study in Victoria, British Columbia, Canada. Natural hazards and earth system sciences. 19(9). 2039–2051. 8 indexed citations

5.

Kucharczyk, Maja & Chris H. Hugenholtz. (2018). Pre-disaster mapping with drones: an urban case study in Victoria, BC, Canada. Biogeosciences (European Geosciences Union). 1 indexed citations

6.

Nesbit, Paul R., Paul R. Durkin, Christopher H. Hugenholtz, Stephen M. Hubbard, & Maja Kucharczyk. (2018). 3-D stratigraphic mapping using a digital outcrop model derived from UAV images and structure-from-motion photogrammetry. Geosphere. 58 indexed citations

7.

Kucharczyk, Maja, et al.. (2018). UAV–LiDAR accuracy in vegetated terrain. 6(4). 212–234. 20 indexed citations

8.

Nesbit, Paul R., et al.. (2017). Reported UAV incidents in Canada: analysis and potential solutions. TSpace. 5(2). 51–61. 9 indexed citations

9.

Hugenholtz, Chris H., et al.. (2016). Spatial Accuracy of UAV-Derived Orthoimagery and Topography: Comparing Photogrammetric Models Processed with Direct Geo-Referencing and Ground Control Points. GEOMATICA. 70(1). 21–30. 115 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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