Benjamin Eckart

13 total papers · 495 total citations
4 papers, 55 citations indexed

About

Benjamin Eckart is a scholar working on Computer Vision and Pattern Recognition, Geology and Computational Mechanics. According to data from OpenAlex, Benjamin Eckart has authored 4 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Geology and 1 paper in Computational Mechanics. Recurrent topics in Benjamin Eckart's work include 3D Surveying and Cultural Heritage (3 papers), Image Processing and 3D Reconstruction (1 paper) and Image and Object Detection Techniques (1 paper). Benjamin Eckart is often cited by papers focused on 3D Surveying and Cultural Heritage (3 papers), Image Processing and 3D Reconstruction (1 paper) and Image and Object Detection Techniques (1 paper). Benjamin Eckart collaborates with scholars based in United States. Benjamin Eckart's co-authors include Wentao Yuan, Jan Kautz, Chao Liu, Alonzo Kelly, Sifei Liu, Arash Vahdat and Weili Nie and has published in prestigious journals such as Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).

In The Last Decade

Benjamin Eckart

4 papers receiving 54 citations

Author Peers

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

Author						Papers	Cites
Benjamin Eckart	30	29	26	17	15	4	55
Martin Garbade	32 1.1×	31 1.1×	74 2.8×	39 2.3×	42 2.8×	4	107
Felix Järemo Lawin	19 0.6×	16 0.6×	24 0.9×	15 0.9×	37 2.5×	6	69
Humam Alwassel	17 0.6×	25 0.9×	26 1.0×	17 1.0×	3 0.2×	4	51
Christine Allen-Blanchette	16 0.5×	32 1.1×	43 1.7×	3 0.2×	18 1.2×	5	72
Runzhou Ge	13 0.4×	10 0.3×	86 3.3×	15 0.9×	37 2.5×	3	99
Matan Atzmon	12 0.4×	36 1.2×	21 0.8×	10 0.6×	7 0.5×	5	54
Cheng-Kun Yang	40 1.3×	42 1.4×	15 0.6×	36 2.1×	3 0.2×	5	58
Tiago Cortinhal	9 0.3×	12 0.4×	20 0.8×	14 0.8×	15 1.0×	5	36
Binbin Huang	17 0.6×	35 1.2×	77 3.0×	8 0.5×	20 1.3×	4	116
Rahul Goel	8 0.3×	14 0.5×	28 1.1×	5 0.3×	8 0.5×	6	50

Countries citing papers authored by Benjamin Eckart

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Eckart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Eckart

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Eckart. A scholar is included among the top collaborators of Benjamin Eckart 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 Benjamin Eckart. Benjamin Eckart 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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