Abstract
Capacity building and capacity development for landslide risk reduction is an important pillar of the International Consortium on Landslides, Kyoto, Japan. This non-governmental organization with close to 100 full members, associates and supporters was established in 2001, and among many activities in this first two decades we may raise the latest overreaching one, namely the Sendai Partnerships 2015–2025 as the free commitment to Sendai Framework on Disaster Risk Reduction 2015–2030. The Kyoto Commitment 2020 to be discussed and accepted at 5th World Landslide Forum in Kyoto in November 2020, again stresses the importance for the ICL to raise awareness and enhance preparedness for landslide disasters as the ICL efforts for capacity building and capacity development in this field. The ICL stimulates landslide research that has to support capacity building for landslide risk reduction. Springer Nature publishes the journal Landslides: Journal of the International Consortium on Landslides since 2004. Being examined in the past by different authors from bibliometric and editorial point of view, this review paper focuses on the journal’s 16 years of achievements (2004–2019). In these 16 years, 1313 papers were published on 16,286 pages, written by 5534 authors and with more than 1.1 million downloads and nearly 25,000 citations as in early 2020. The bibliometric analysis of Landslides and its comparison with a few selected similar journals of high reputation, among them Engineering Geology and Bulletin of Engineering Geology and the Environment, confirmed high rankings of Landslides in the research categories of geological & geotechnical engineering and engineering geology. Strong and weak points are discussed from the bibliometric point of view, stressing the need for higher internationality of co-authorship of published articles in order to be true international journal. Continuous publishing and the move to a monthly journal in 2018 has further increase journal's h-index and cited half-life of citations, but further editorial efforts should be directed to attract excellent review papers and focused technical notes to increase cites per paper and the number of Highly Cited papers. Until 2020, Landslides is the foremost journal in the field of landslide disaster risk reduction, and the top young international journal in the fields of geotechnical engineering and engineering geology.
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References
Ahmed B (2015) Landslide susceptibility mapping using multi-criteria evaluation techniques in Chittagong metropolitan area, Bangladesh. Landslides 12(6):1077–1095
Akgun A (2012) A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at Izmir, Turkey. Landslides 9(1):93–106
Baum RL, Coe JA, Godt JW, Harp EL, Reid ME, Savage WZ, Schulz WH, Brien DL, Chleborad AF, McKenna JP, Michael JA (2005) Regional landslide-hazard assessment for Seattle, Washington, USA. Landslides 2(4):266–279
Brideau MA, Pedrazzini A, Stead D, Froese C, Jaboyedoff M, van Zeyl D (2011) Three-dimensional slope stability analysis of South Peak, Crowsnest Pass, Alberta, Canada. Landslides 8(2):139–158
Bui DT, Tuan TA, Klempe H, Pradhan B, Revhaug I (2016) Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree. Landslides 13(2):361–378
Bui DT, Tuan TA, Hoang ND, Thanh NQ, Nguyen DB, Liem NV, Pradhan B (2017) Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization. Landslides 14(2):447–458
Carlà T, Intrieri E, Di Traglia F, Nolesini T, Gigli G, Casagli N (2017) Guidelines on the use of inverse velocity method as a tool for setting alarm thresholds and forecasting landslides and structure collapses. Landslides 14(2):517–534
Cerovšek T, Mikoš M (2014) A comparative study of cross-domain research output and citations: Research impact cubes and binary citation frequencies. J Inform 8:147–161
ESI (2020) InCites essential science indicators. Clarivate analytics. Available at: https://esi.clarivate.com/IndicatorsAction.action
Evans SG, Mugnozza GS, Strom A, Hermanns RL (eds) (2006) Landslides from massive rock slope failure. Nato science series, IV. Earth and environmental sciences, vol 49. Springer, Dordrecht, p 662. Available at: https://link.springer.com/content/pdf/10.1007%2F978-1-4020-4037-5.pdf
Fan XM, Xu Q, Scaringi G, Dai LX, Li WL, Dong XJ, Zhu X, Pei XJ, Dai KR, Havenith HB (2017) Failure mechanism and kinematics of the deadly June 24th 2017 Xinmo landslide, Maoxian, Sichuan, China. Landslides 14(6):2129–2146
Frattini P, Crosta GB, Rossini M, Allievi J (2018) Activity and kinematic behaviour of deep-seated landslides from PS-InSAR displacement rate measurements. Landslides 15(6):1053–1070
Garfield E (1955) Citation indexes to science: a new dimension in documentation through association of ideas. Science 122(3159):108–111
Garfield E (2006) The history and meaning of the journal impact factor. JAMA 295(1):90–93
Guzzetti F, Peruccacci S, Rossi M, Stark CP (2008) The rainfall intensity–duration control of shallow landslides and debris flows: an update. Landslides 5(1):3–17
Haque U, Blum P, da Silva PF, Andersen P, Pilz J, Chalov SR, Malet J-P, Jemec Auflič M, Andres N, Poyiadji E, Lamas PC, Zhang W, Peshevski I, Pétursson HG, Kurt T, Dobrev N, García-Davalillo JC, Halkia M, Ferri S, Gaprindashvili G, Engström J, Keellings D (2016) Fatal landslides in Europe. Landslides 13(6):1545–1554
Herrera G, Mateos RM, García-Davalillo JC, Grandjean G, Poyiadji E, Maftei R, Filipciuc T-C, Jemec Auflič M, Jež J, Podolszki L, Trigila A, Iadanza C, Raetzo H, Kociu A, Przyłucka M, Kułak M, Sheehy M, Pellicer XM, McKeown C, Ryan G, Kopačková V, Frei M, Kuhn D, Hermanns RL, Koulermou N, Smith CA, Engdahl M, Buxó P, Gonzalez M, Dashwood C, Reeves H, Cigna F, Liščák P, Pauditš P, Mikulėnas V, Demir V, Raha M, Quental L, Sandić C, Fusi B, Jensen OA (2018) Landslide databases in the geological surveys of Europe. Landslides 15(2):359–379
Huang D, Cen D, Ma G, Huang R (2015) Step-path failure of rock slopes with intermittent joints. Landslides 12(5):911–926
Hungr O, Leroueil S, Picarelli L (2014) The Varnes classification of landslide types, an update. Landslides 11(2):167–194
Intrieri E, Raspini F, Fumagalli A, Lu P, Del Conte S, Farina P, Allievi J, Ferretti A, Casagli N (2018) The Maoxian landslide as seen from space: detecting precursors of failure with Sentinel-1 data. Landslides 15(1):123–133
Kavzoglu T, Sahin EK, Colkesen I (2014) Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression. Landslides 11(3):425–439
Lando T, Bertoli-Barsotti L (2014) A new bibliometric index based on the shape of the citation distribution. PLoS One 9(12):e115962. Available at: https://doi.org/10.1371/journal.pone.0115962
Leynaud D, Sultan N, Mienert J (2007) The role of sedimentation rate and permeability in the slope stability of the formerly glaciated Norwegian continental margin: the Storegga slide model. Landslides 4(4):297–309
Liu J, You Y, Chen X, Chen X (2015) Mitigation planning based on the prediction of river blocking by a typical large-scale debris flow in the Wenchuan earthquake area. Landslides 13(5):1231–1242
Lundström K, Larsson R, Dahlin T (2009) Mapping of quick clay formations using geotechnical and geophysical methods. Landslides 6(1):1–15
Margottini C (2004) Instability and geotechnical problems of the Buddha niches and surrounding cliff in Bamiyan Valley, central Afghanistan. Landslides 1(1):41–51
Martino S, Bozzano F, Caporossi P, D’Angiò D, Della Seta M, Esposito C, Fantini A, Fiorucci M, Giannini LM, Iannucci R, Marmoni GM, Mazzanti P, Missori C, Moretto S, Piacentini D, Rivellino S, Romeo RW, Sarandrea P, Schilirò L, Troiani F, Varone C (2019) Impact of landslides on transportation routes during the 2016–2017 Central Italy seismic sequence. Landslides 16(6):1221–1241
Massey C, Manville V, Hancox GH, Keys HJ, Lawrence C, McSaveney M (2010) Out-burst flood (lahar) triggered by retrogressive landsliding, 18 March 2007 at Mt Ruapehu, New Zealand—a successful early warning. Landslides 7(3):303–315
Mikoš M (2011) Landslides: a state-of-the art on the current position in the landslide research community. Landslides 8:541–551
Mikoš M (2017) Landslides: a top international journal in geological engineering and engineering geology? Landslides 14(5):1843–1854
Nadim F, Kjekstad O, Peduzzi P, Herold C, Jaedicke C (2006) Global landslide and avalanche hotspots. Landslides 3(2):159–173
Pinyol NM, Alonso EE, Corominas J, Moya J (2012) Canelles landslide: modelling rapid drawdown and fast potential sliding. Landslides 9(1):33–51
Prochaska AB, Santi PM, Higgins JD, Cannon SH (2008) A study of methods to estimate debris flow velocity. Landslides 5(4):413–444
Ruiz-Carulla R, Corominas J, Mavrouli O (2017) A fractal fragmentation model for rockfalls. Landslides 14(3):875–889
Sassa K (2019a) The fifth world landslide forum and the final draft of the Kyoto 2020 Commitment. Landslides 16(2):201–221
Sassa K (2019b) Journal landslides, the international consortium on landslides, and the Kyoto landslide commitment 2020. Landslides 16(9):1623–1628
Sassa K, Tsuchiya S, Ugai K, Wakai A, Uchimura T (2009) Landslides: a review of achievements in the first 5 years (2004–2009). Landslides 6:275–286
Sassa K, Tsuchiya S, Fukuoka H, Mikoš M, Doan L (2015) Landslides: review of achievements in the second 5-year period (2009–2013). Landslides 12(2):213–223
Sassa K, Arbanas Ž (2017) Landslides: journal of the international consortium on landslides. In: Sassa K, Mikoš M, Yin Y (eds) Advancing culture of living with landslides. WLF 2017. Springer, Cham, pp 257–267. Avalaible at: https://link.springer.com/chapter/10.1007/978-3-319-59469-9_21
Sassa K, Dang K, Guzzetti F, Casagli N, Tiwari B, Mikoš M, Vilimek V, Bobrowsky P, Konagai K, Arbanas Ž, Mihalić Arbanas S, Lu P, Sasahara K, Alcantara-Ayala I, Strom A, Hendry M, Yamagishi H, Tofani V, Cuomo S, Fathani F, Klimeš J, Wang F, Reichenbach P, Gokceoglu C, Higaki D, Koyama T (2019) Invited and accepted speakers of the fifth world landslide forum in Kyoto, 2020. Landslides 16(2):431–446
Sosio R, Crosta GB, Hungr O (2012) Numerical modeling of debris avalanche propagation from collapse of volcanic edifices. Landslides 9(3):315–334
Springer (2020) Landslides: journal of the international consortium on landslides—home page. https://www.springer.com/earth+sciences+and+geography/natural+hazards/journal/10346
Staley DM, Kean JW, Cannon SH, Schmidt KM, Laber JL (2013) Objective definition of rainfall intensity—duration thresholds for the initiation of post-fire debris flows in southern California. Landslides 10(5):547–562
Tang Y, Zhang Z, Wang C, Zhang H, Meng FW (2015) Characterization of the giant landslide at Wenjiagou by the insar technique using TSX-TDX CoSSC data. Landslides 12(5):1015–1021
Tsangaratos P, Ilia I (2016) Landslide susceptibility mapping using a modified decision tree classifier in the Xanthi Perfection, Greece. Landslides 13(2):305–320
Van Noorden R (2016) Impact factor gets heavyweight rival—CiteScore uses larger database and gets different results. Nature 540:325–326
Xu C, Xu XW, Yao X, Dai FC (2014) Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis. Landslides, 11(3):441–461
Yavari-Ramshe S, Ataie-Astiani B (2016) Numerical modelling of subaerial and submarine landslide-generated tsunami waves—recent advances and future challenges. Landslides 13(6):1325–1368
Yin YP, Wang FW, Sun P (2009) Landslide hazards triggered by the 2008 Wenchuan earthquake, Sichuan, China. Landslides 6(2):139–152
Youssef AM, Pourghasemi HR, Pourtaghi ZS, Al-Katheeri MM (2016) Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia. Landslides 13(5):839–856
Acknowledgements
This bibliometric analysis of Landslides was performed using databases that are available through the consortium to the University of Ljubljana staff and students. The analysis was partially financed by the Slovenian Research Agency (ARRS) and their financial support is greatly acknowledged—through the national Research Programme P2-0180 “Water Science and Technology, and Geotechnics”.
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Mikoš, M., Sassa, K., Arbanas, Ž. (2021). The ICL Journal Landslides—16 Years of Capacity Development for Landslide Risk Reduction. In: Sassa, K., Mikoš, M., Sassa, S., Bobrowsky, P.T., Takara, K., Dang, K. (eds) Understanding and Reducing Landslide Disaster Risk. WLF 2020. ICL Contribution to Landslide Disaster Risk Reduction. Springer, Cham. https://doi.org/10.1007/978-3-030-60196-6_9
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