| Points | Position | |
|---|---|---|
| CEF.UP+NIPE (average of all rankings) (2012) | 5.39 | 473/501 |
| Australian RC (2010) | 25.0 | 426/479 |
| Ideas discounted recursive impact factor (2012) | 0.2 | 346/396 |
| ISI, JCR SSE, Article Influence Score (2010) | 4.24 | 216/316 |
| ISI, JCR SSE, Impact Factor (2010) | 11.67 | 210/388 |
| Kalaitzidakis et al (2010) | 0.03 | 175/196 |
| Source Normalized Impact per Paper (SNIP) (2011) | 10.83 | 232/476 |
| Article Influence Score (2021) | 0.45 | 327/409 |
| Article Influence Score (2019) | 0.4 | 309/428 |
| Impact Factor (2021) | 1.28 | 332/409 |
| Impact Factor (2019) | 1.74 | 192/440 |
| Impact Factor (5 year) (2021) | 2.23 | 235/409 |
| Impact Factor (5 year) (2019) | 1.9 | 208/428 |
| SJR - Scimago (2021) | 0.5 | 365/558 |
| SJR - Scimago (2019) | 0.53 | 333/549 |
| Count (2021) | 1.0 | 227/659 |
Discussing the Spatial Dependence and the Determinants of the Municipal Expenses of Portuguese Forest Sappers' Teams
Paulo Mourão
vol. 27, 2017, p. 38-49.
Joint Estimation Using Revealed and Stated Preference Data: An Application Using a National Forest
Paula Simões,
Eduardo Barata,
Luís Cruz
vol. 19, 2013, p. 249-266.
Assessing Forest Management Strategies Using a Contingent Valuation Approach and Advanced Visualisation Techniques: A Portuguese Case Study
Lívia Madureira,
Luis Catela Nunes,
José G. Borges,
Andre O.Falcao
vol. 17, 2011, p. 399-414.