M.J.C. Weir

491 total citations
31 papers, 345 citations indexed

About

M.J.C. Weir is a scholar working on Environmental Engineering, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, M.J.C. Weir has authored 31 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Environmental Engineering, 9 papers in Global and Planetary Change and 7 papers in Nature and Landscape Conservation. Recurrent topics in M.J.C. Weir's work include Remote Sensing and LiDAR Applications (13 papers), Forest ecology and management (7 papers) and Remote Sensing in Agriculture (5 papers). M.J.C. Weir is often cited by papers focused on Remote Sensing and LiDAR Applications (13 papers), Forest ecology and management (7 papers) and Remote Sensing in Agriculture (5 papers). M.J.C. Weir collaborates with scholars based in Netherlands, Nepal and Ghana. M.J.C. Weir's co-authors include Y.A. Hussin, John Lewin, Wilson Agyei Agyare, Stephen Adu‐Bredu, C.A.J.M. de Bie, E.M.A. Smaling, Valentijn Venus, Vladimir Smakhtin, Mobushir Riaz Khan and Purity Rima Mbaabu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technometrics and International Journal of Remote Sensing.

In The Last Decade

M.J.C. Weir

27 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.J.C. Weir Netherlands	11	145	129	102	69	29	31	345
Alfredo Pinedo‐Alvarez Mexico	11	117 0.8×	150 1.2×	80 0.8×	42 0.6×	34 1.2×	41	358
Polyanna da Conceição Bispo Brazil	13	198 1.4×	153 1.2×	190 1.9×	92 1.3×	15 0.5×	54	493
Asadollah Mataji Iran	11	152 1.0×	122 0.9×	67 0.7×	167 2.4×	81 2.8×	55	419
Diogo Corrêa Santos Brazil	9	135 0.9×	182 1.4×	60 0.6×	37 0.5×	10 0.3×	16	391
Clément Bourgoin France	11	205 1.4×	263 2.0×	114 1.1×	49 0.7×	39 1.3×	24	514
Luís Eduardo Pinheiro Maurano Brazil	10	245 1.7×	271 2.1×	120 1.2×	50 0.7×	43 1.5×	18	536
Giulio Marchi Italy	5	209 1.4×	229 1.8×	87 0.9×	24 0.3×	31 1.1×	6	425
Valdete Duarte Brazil	9	249 1.7×	252 2.0×	97 1.0×	49 0.7×	8 0.3×	27	444
Chris Steenmans Denmark	2	170 1.2×	223 1.7×	83 0.8×	63 0.9×	37 1.3×	2	446
Bharath Setturu India	12	146 1.0×	267 2.1×	88 0.9×	50 0.7×	11 0.4×	32	393

Countries citing papers authored by M.J.C. Weir

Since Specialization

Citations

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

Fields of papers citing papers by M.J.C. Weir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.J.C. Weir. 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 M.J.C. Weir. The network helps show where M.J.C. Weir may publish in the future.

Co-authorship network of co-authors of M.J.C. Weir

This figure shows the co-authorship network connecting the top 25 collaborators of M.J.C. Weir. A scholar is included among the top collaborators of M.J.C. Weir 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 M.J.C. Weir. M.J.C. Weir 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

Hussin, Y.A., et al.. (2020). Deriving forest plot inventory parameters using terrestrial laser scanning in the tropical rainforest of Malaysia. International Journal of Remote Sensing. 42(3). 884–901. 5 indexed citations

Adu‐Bredu, Stephen, et al.. (2020). Allometric models for estimating aboveground biomass in the tropical woodlands of Ghana, West Africa. Forest Ecosystems. 7(1). 20 indexed citations

Groen, T.A., et al.. (2018). Detection of forest canopy gaps from very high resolution aerial images. Ecological Indicators. 95. 629–636. 17 indexed citations

Agyare, Wilson Agyei, et al.. (2017). Multi-Level Land Cover Change Analysis in the Forest-Savannah Transition Zone of the Kintampo Municipality, Ghana. SHILAP Revista de lepidopterología. 7(1). 5 indexed citations

Weir, M.J.C., et al.. (2017). Negotiation and regulation of land access agreements: lessons from Queensland. The Journal of World Energy Law & Business. 10(2). 117–135. 1 indexed citations

Adu‐Bredu, Stephen, et al.. (2016). Empirical evidence of the impact of commercial charcoal production on Woodland in the Forest-Savannah transition zone, Ghana. Energy Sustainable Development. 33. 84–95. 27 indexed citations

Hussin, Y.A., et al.. (2016). DERIVATION OF FOREST INVENTORY PARAMETERS FOR CARBON ESTIMATION USING TERRESTRIAL LIDAR. SHILAP Revista de lepidopterología. XLI-B8. 677–684. 6 indexed citations

Mbaabu, Purity Rima, Y.A. Hussin, M.J.C. Weir, & Hammad Gilani. (2014). Quantification of carbon stock to understand two different forest management regimes in Kayar Khola watershed, Chitwan, Nepal. Journal of the Indian Society of Remote Sensing. 42(4). 745–754. 22 indexed citations

Bie, C.A.J.M. de, Mobushir Riaz Khan, Vladimir Smakhtin, et al.. (2011). Analysis of multi-temporal SPOT NDVI images for small-scale land-use mapping. International Journal of Remote Sensing. 32(21). 6673–6693. 50 indexed citations

10.

Musa, Mirko, Y.A. Hussin, & M.J.C. Weir. (2004). Remotely sensed multi - data fusion for forest resources management. University of Twente Research Information. 4(3). 45–56. 1 indexed citations

11.

Fauzi, Anas Miftah, Y.A. Hussin, & M.J.C. Weir. (2001). A comparison between neural networks and maximum likelihood remotely sensed data classifiers to detect tropical rain logged - over forest in Indonesia. University of Twente Research Information. 616–621. 4 indexed citations

12.

By, R.A. de, et al.. (2001). Principles of geographic information systems : an introductory textbook. 1. 32 indexed citations

13.

Hussin, Y.A., et al.. (2001). Monitoring mangrove forests using remote sensing and GIS.. 251–257. 11 indexed citations

14.

Weir, M.J.C., et al.. (2001). Assessment of a mangrove rehabilitation programme using remote sensing and GIS : a case study of Amphur Khlung, Chantaburi province, Eastern Thailand. University of Twente Research Information. 1338–1343. 4 indexed citations

15.

Kerle, Norman, W.H. Bakker, F.D. van der Meer, et al.. (2000). Principles of remote sensing : an introductory textbook.. Data Archiving and Networked Services (DANS). 2. 53 indexed citations

16.

By, R.A. de, et al.. (1999). Principles of geographic information systems : ITC core module : version 1 : syllabus. 1 indexed citations

17.

Weir, M.J.C.. (1996). Acquisition of spatial data by forest management agencies : a review. University of Twente Research Information. 1 indexed citations

18.

Weir, M.J.C., et al.. (1990). GIS applications in forest land management in Indonesia. University of Twente Research Information. 236–244. 1 indexed citations

19.

Ziegel, Eric R., Harry V. Roberts, Robert G. Miller, et al.. (1990). Data Analysis for Managers. Technometrics. 32(1). 102–102. 1 indexed citations

20.

Weir, M.J.C.. (1989). More Advanced Technology Education Needed. Journal of Forestry. 87(7). 20–25. 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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