Debaditya Acharya

32 total papers · 882 total citations
23 papers, 654 citations indexed

About

Debaditya Acharya is a scholar working on Aerospace Engineering, Geology and Environmental Engineering. According to data from OpenAlex, Debaditya Acharya has authored 23 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Aerospace Engineering, 11 papers in Geology and 8 papers in Environmental Engineering. Recurrent topics in Debaditya Acharya's work include Robotics and Sensor-Based Localization (15 papers), 3D Surveying and Cultural Heritage (11 papers) and Remote Sensing and LiDAR Applications (7 papers). Debaditya Acharya is often cited by papers focused on Robotics and Sensor-Based Localization (15 papers), 3D Surveying and Cultural Heritage (11 papers) and Remote Sensing and LiDAR Applications (7 papers). Debaditya Acharya collaborates with scholars based in Australia, China and Spain. Debaditya Acharya's co-authors include Kourosh Khoshelham, Stephan Winter, Milad Ramezani, Zhizhong Kang, Fuqiang Gu, L. Díaz−Vilariño, U. C. Niranjan, U. Rajendra Acharya, P. Subbanna Bhat and Michael Peter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biological Conservation and Sensors.

In The Last Decade

Debaditya Acharya

22 papers receiving 626 citations

Author Peers

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

Author						Papers	Cites
Debaditya Acharya	286	286	272	179	152	23	654
Milad Ramezani	480 1.7×	201 0.7×	278 1.0×	259 1.4×	148 1.0×	26	705
Laurent Trassoudaine	227 0.8×	241 0.8×	264 1.0×	71 0.4×	308 2.0×	43	706
Alberto Hata	246 0.9×	75 0.3×	245 0.9×	108 0.6×	203 1.3×	22	695
Timo Häckel	127 0.4×	473 1.7×	162 0.6×	79 0.4×	481 3.2×	21	755
Yilong Zhu	281 1.0×	125 0.4×	207 0.8×	96 0.5×	109 0.7×	34	586
Muhamad Risqi U. Saputra	515 1.8×	127 0.4×	522 1.9×	161 0.9×	49 0.3×	25	786
Keisuke Yoneda	280 1.0×	59 0.2×	344 1.3×	112 0.6×	159 1.0×	55	743
Junichi MEGURO	432 1.5×	60 0.2×	197 0.7×	238 1.3×	104 0.7×	56	659
Thorsten Luettel	312 1.1×	76 0.3×	356 1.3×	98 0.5×	173 1.1×	38	761
Alireza Asvadi	215 0.8×	70 0.2×	380 1.4×	57 0.3×	185 1.2×	18	632

Countries citing papers authored by Debaditya Acharya

Since Specialization

Citations

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

Fields of papers citing papers by Debaditya Acharya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debaditya Acharya

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

All Works

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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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