Projo Danoedoro

657 total citations
92 papers, 461 citations indexed

About

Projo Danoedoro is a scholar working on Ecology, Management, Monitoring, Policy and Law and Forestry. According to data from OpenAlex, Projo Danoedoro has authored 92 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ecology, 22 papers in Management, Monitoring, Policy and Law and 19 papers in Forestry. Recurrent topics in Projo Danoedoro's work include Remote Sensing in Agriculture (20 papers), Forest Ecology and Conservation (19 papers) and Data Mining and Machine Learning Applications (16 papers). Projo Danoedoro is often cited by papers focused on Remote Sensing in Agriculture (20 papers), Forest Ecology and Conservation (19 papers) and Data Mining and Machine Learning Applications (16 papers). Projo Danoedoro collaborates with scholars based in Indonesia, Azerbaijan and Germany. Projo Danoedoro's co-authors include Pramaditya Wicaksono, Udo Nehren, Hartono Hartono, Deha Agus Umarhadi, Lars Ribbe, Muhammad Kamal, Sanjiwana Arjasakusuma, Junun Sartohadi, Totok Gunawan and Geoffrey T. McDonald and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Geocarto International.

In The Last Decade

Projo Danoedoro

82 papers receiving 441 citations

Peers

Projo Danoedoro

ECOLO

GPC

DEMOG

I Wayan Sandi Adnyana Indonesia

Vincentius P. Siregar Indonesia

Soni Darmawan Indonesia

Muhammad Kamal Indonesia

Nga Nhu Le Japan

Adia Bey Belgium

Wirastuti Widyatmanti Indonesia

S. Parthiban India

I Wayan Nuarsa Indonesia

Yenni Vetrita Indonesia

I Wayan Sandi Adnyana Indonesia

Projo Danoedoro

133 ×0.6

ECOLO

322 ×2.3

GPC

162 ×1.4

165 ×1.9

32 ×0.4

DEMOG

Citations per year, relative to Projo Danoedoro Projo Danoedoro (= 1×) peers I Wayan Sandi Adnyana

Countries citing papers authored by Projo Danoedoro

Since Specialization

Citations

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

Fields of papers citing papers by Projo Danoedoro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Projo Danoedoro

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

All Works

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20 of 20 papers shown

Danoedoro, Projo, et al.. (2024). Exploring optimal integration schemes for Sentinel-1 SAR and Sentinel-2 multispectral data in land cover mapping across different atmospheric conditions. Remote Sensing Applications Society and Environment. 34. 101185–101185. 4 indexed citations

Danoedoro, Projo, et al.. (2024). Location prediction using forward geocoding for fire incident. SHILAP Revista de lepidopterología. 479. 7031–7031.

Danoedoro, Projo, et al.. (2023). The utilization of multi-sensor remote sensing and cloud-computing platform for mapping burned areas. AIP conference proceedings. 2675. 50005–50005.

Danoedoro, Projo, et al.. (2023). Land-Cover Change Detection in Batur Catchment Area Using Remote Sensing. SHILAP Revista de lepidopterología. 15(1). 64–79. 1 indexed citations

Danoedoro, Projo, et al.. (2022). Preliminary Study on the Use of Digital Surface Models for Estimating Vegetation Cover Density in Mountainous Area. Indonesian Journal of Geography. 54(3). 4 indexed citations

Danoedoro, Projo, et al.. (2021). The utilisation of sentinel-2A images and google earth engine for monitoring tropical Savannah grassland. Geocarto International. 37(18). 5400–5414. 5 indexed citations

Danoedoro, Projo, et al.. (2018). Exploring Spectral Index Band and Vegetation Indices for Estimating Vegetation Area. Indonesian Journal of Geography. 50(2). 211–211. 7 indexed citations

Danoedoro, Projo, et al.. (2017). PENGARUH KOREKSI RADIOMETRI TERHADAP AKURASI INDEKS VEGETASI DALAM ESTIMASI BIOMASSA DI ATAS PERMUKAAN TANAH PADA TOPOGRAFI BERGUNUNG WILAYAH GUNUNG API LAWU. Jurnal Bumi Indonesia. 6(2). 228690. 1 indexed citations

Gunawan, Totok, et al.. (2017). PROPOSED MODEL ON LEVELS OF DEGRADED LAND AT MERAWU WATERSHED, BANJARNEGARA REGENCY, CENTRAL JAVA PROVINCE, INDONESIA. BIOTROPIA. 24(3). 220–229. 1 indexed citations

10.

Danoedoro, Projo, et al.. (2017). Aplikasi Penginderaan Jauh untuk Pemetaan Zonasi Potensi Keberadaan Emas Epitermal Menggunakan Metode Fuzzy Logic di Sebagian Kabupaten Tapanuli Selatan, Sumatera Utara. Jurnal Bumi Indonesia. 6(1). 228766. 2 indexed citations

11.

Danoedoro, Projo, et al.. (2016). PENENTUAN TINGKAT KEKERINGAN LAHAN BERBASIS ANALISA CITRA ASTER DAN SISTEM INFORMASI GEOGRAFIS. SHILAP Revista de lepidopterología. 3 indexed citations

12.

Danoedoro, Projo, et al.. (2016). Integrasi Transformasi Spektral Citra Landsat Etm+ dan SIG untuk Pemetaan Pola Rotasi Tanam Lahan Sawah Kabupaten dan Kota Semarang serta Daerah Sekitarnya di Jawa Tengah. SHILAP Revista de lepidopterología. 3 indexed citations

13.

Danoedoro, Projo, et al.. (2016). PREDIKSI PERUBAHAN LAHAN PERTANIAN SAWAH SEBAGIAN KABUPATEN KLATEN DAN SEKITARNYA MENGGUNAKAN CELLULAR AUTOMATA DAN DATA PENGINDERAAN JAUH. Jurnal Bumi Indonesia. 5(1). 79437. 5 indexed citations

14.

Danoedoro, Projo, et al.. (2014). Perbandingan Teknik Resampling Pada Citra Hasil Pan-Sharpening Untuk Pemetaan Penutup Lahan Dengan Menggunakan Klasifikasi Terselia Maximum Likelihood. Jurnal Bumi Indonesia. 3(4). 228628. 1 indexed citations

15.

Danoedoro, Projo, et al.. (2013). Linear Spectral Mixture Analysis (Lsma) Untuk Tutupan Lahan Menggunakan Citra Landsat Etm+ Di YOGYAKARTA Dan Sekitarnya. Jurnal Bumi Indonesia. 2(2). 78352. 1 indexed citations

16.

Danoedoro, Projo, et al.. (2012). KAJIAN KEMAMPUAN JARINGAN SYARAF TIRUAN ALGORITMA BACKPROPAGATION UNTUK KLASIFIKASI PENGGUNAAN LAHAN MENGGUNAKAN CITRA ALOS AVNIR-2. Jurnal Bumi Indonesia. 1(3). 238175. 3 indexed citations

17.

Danoedoro, Projo, et al.. (2012). PENGGUNAAN LOGIKA FUZZY DALAM PEMODELAN SPASIAL KERENTANAN DBD DI KOTA YOGYAKARTA. Jurnal Bumi Indonesia. 1(3). 1 indexed citations

18.

Sartohadi, Junun, et al.. (2011). THE ROLE OF VEGETATION COVER AND CATCHMENT CHARACTERISTICS ON BASEFLOW IN BALI ISLAND. Indonesian Journal of Geography. 43(2). 1 indexed citations

19.

Gunawan, Totok, et al.. (2009). TOWARD A FULLY AND ABSOLUTELY RASTER-BASED EROSION MODELING BY USING RS AND GIS. Indonesian Journal of Geography. 41(2). 1 indexed citations

20.

Danoedoro, Projo, Geoffrey T. McDonald, Stuart Phinn, & David Pullar. (2004). Image-based versatile LU information: A multidimensional classification scheme to support local planning in Indonesia. Queensland's institutional digital repository (The University of Queensland). 35. 2 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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