Daniel McInerney

978 total citations
25 papers, 677 citations indexed

About

Daniel McInerney is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Daniel McInerney has authored 25 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 10 papers in Ecology and 10 papers in Global and Planetary Change. Recurrent topics in Daniel McInerney's work include Remote Sensing and LiDAR Applications (12 papers), Remote Sensing in Agriculture (10 papers) and Forest ecology and management (7 papers). Daniel McInerney is often cited by papers focused on Remote Sensing and LiDAR Applications (12 papers), Remote Sensing in Agriculture (10 papers) and Forest ecology and management (7 papers). Daniel McInerney collaborates with scholars based in Italy, Ireland and United States. Daniel McInerney's co-authors include Maarten Nieuwenhuis, Peter Strobl, Sami Domisch, Giuseppe Amatulli, Tushar Sethi, Pieter Kempeneers, Ronald E. McRoberts, Erkki Tomppo, Matteo Mura and Lars T. Waser‬ and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

Daniel McInerney

25 papers receiving 659 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel McInerney 278 265 241 208 89 25 677
Ryan Anderson 300 1.1× 302 1.1× 295 1.2× 169 0.8× 69 0.8× 9 669
Anthony G. Vorster 301 1.1× 308 1.2× 315 1.3× 210 1.0× 65 0.7× 19 669
Cibele Hummel do Amaral 499 1.8× 352 1.3× 350 1.5× 173 0.8× 98 1.1× 50 947
Jason McVay 336 1.2× 340 1.3× 244 1.0× 77 0.4× 91 1.0× 8 687
Renée E. Bartolo 583 2.1× 406 1.5× 340 1.4× 234 1.1× 69 0.8× 53 981
Mercedes Berterretche 584 2.1× 461 1.7× 356 1.5× 204 1.0× 95 1.1× 6 827
Geir‐Harald Strand 235 0.8× 146 0.6× 292 1.2× 158 0.8× 63 0.7× 41 596
Tarmo K. Remmel 302 1.1× 187 0.7× 340 1.4× 148 0.7× 55 0.6× 39 708
Sajjad Saeed 288 1.0× 239 0.9× 544 2.3× 237 1.1× 101 1.1× 38 953
Alexander S. Antonarakis 505 1.8× 608 2.3× 371 1.5× 238 1.1× 66 0.7× 31 1.1k

Countries citing papers authored by Daniel McInerney

Since Specialization
Citations

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

Fields of papers citing papers by Daniel McInerney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel McInerney

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel McInerney. A scholar is included among the top collaborators of Daniel McInerney 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 Daniel McInerney. Daniel McInerney 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.
McInerney, Daniel, et al.. (2021). Investigating the Effects of k and Area Size on Variance Estimation of Multiple Pixel Areas Using a k-NN Technique for Forest Parameters. Remote Sensing. 13(22). 4688–4688. 2 indexed citations
2.
Amatulli, Giuseppe, Daniel McInerney, Tushar Sethi, Peter Strobl, & Sami Domisch. (2020). Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers. Scientific Data. 7(1). 162–162. 144 indexed citations
3.
Bunting, Peter, et al.. (2020). Sensitivity Analysis of the DART Model for Forest Mensuration with Airborne Laser Scanning. Remote Sensing. 12(2). 247–247. 17 indexed citations
4.
McInerney, Daniel, et al.. (2019). Detecting nutrient deficiency in spruce forests using multispectral satellite imagery. International Journal of Applied Earth Observation and Geoinformation. 86. 101975–101975. 16 indexed citations
5.
McInerney, Daniel, et al.. (2019). Analysis of broadleaf encroachment in coniferous forest plantations using multi-temporal satellite imagery. International Journal of Applied Earth Observation and Geoinformation. 78. 130–137. 8 indexed citations
6.
McInerney, Daniel, Frank J. Barrett, Ronald E. McRoberts, & Erkki Tomppo. (2018). Enhancing the Irish NFI using k-nearest neighbors and a genetic algorithm. Canadian Journal of Forest Research. 48(12). 1482–1494. 4 indexed citations
7.
McInerney, Daniel, et al.. (2016). A rapid assessment using remote sensing of windblow damage in Irish forests following Storm Darwin.. 2 indexed citations
8.
McGrath, Matthew J., Sebastiaan Luyssaert, Patrick Meyfroidt, et al.. (2015). Reconstructing European forest management from 1600 to 2010. DIAL (Catholic University of Leuven). 89 indexed citations
9.
McInerney, Daniel & Cormac Walsh. (2014). Spatial distribution of urban land-use change in the Dublin city-region: 1990–2006. Irish Geography. 42(2). 207–223. 1 indexed citations
10.
McInerney, Daniel & Pieter Kempeneers. (2014). Open Source Geospatial Tools. 24 indexed citations
11.
Díaz, Laura, Arne Bröring, Daniel McInerney, Liberta' Giorgio, & Theodor Foerster. (2013). Publishing sensor observations into Geospatial Information Infrastructures: A use case in fire danger assessment. Environmental Modelling & Software. 48. 65–80. 20 indexed citations
12.
McInerney, Daniel, et al.. (2013). Design and Function of the European Forest Fire Information System. Photogrammetric Engineering & Remote Sensing. 79(10). 965–973. 9 indexed citations
13.
Kempeneers, Pieter, et al.. (2012). Increasing Robustness of Postclassification Change Detection Using Time Series of Land Cover Maps. IEEE Transactions on Geoscience and Remote Sensing. 50(9). 3327–3339. 24 indexed citations
14.
McInerney, Daniel, et al.. (2012). Developing a Forest Data Portal to Support Multi-Scale Decision Making. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5(6). 1692–1699. 10 indexed citations
15.
Sedano, Fernando, Pieter Kempeneers, Peter Strobl, Daniel McInerney, & Jesús F. San Miguel. (2012). Increasing Spatial Detail of Burned Scar Maps Using IRS‑AWiFS Data for Mediterranean Europe. Remote Sensing. 4(3). 726–744. 14 indexed citations
16.
McInerney, Daniel, Juan Carlos Pinilla Suárez, & Maarten Nieuwenhuis. (2011). Extending forest inventories and monitoring programmes using remote sensing: A review.. Irish forestry. 5 indexed citations
17.
McInerney, Daniel, Juan Carlos Pinilla Suárez, Rubén Valbuena, & Maarten Nieuwenhuis. (2010). Forest canopy height retrieval using LiDAR data, medium-resolution satellite imagery and kNN estimation in Aberfoyle, Scotland. Forestry An International Journal of Forest Research. 83(2). 195–206. 45 indexed citations
18.
McInerney, Daniel & Cormac Walsh. (2009). Spatial distribution of urban land-use change in the Dublin city-region: 1990–2006. Irish Geography. 42(2). 207–223. 6 indexed citations
19.
McInerney, Daniel, et al.. (2009). Where have all the parks gone? Changes in Dublin's green space between 1990 and 2006. Arrow@dit (Dublin Institute of Technology). 1 indexed citations
20.
McInerney, Daniel & Maarten Nieuwenhuis. (2009). A comparative analysis ofkNN and decision tree methods for the Irish National Forest Inventory. International Journal of Remote Sensing. 30(19). 4937–4955. 48 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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