Robert Kaucic

22 total papers · 468 total citations
12 papers, 245 citations indexed

About

Robert Kaucic is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Signal Processing. According to data from OpenAlex, Robert Kaucic has authored 12 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Signal Processing. Recurrent topics in Robert Kaucic's work include Image and Object Detection Techniques (3 papers), Speech and Audio Processing (2 papers) and Image Retrieval and Classification Techniques (2 papers). Robert Kaucic is often cited by papers focused on Image and Object Detection Techniques (3 papers), Speech and Audio Processing (2 papers) and Image Retrieval and Classification Techniques (2 papers). Robert Kaucic collaborates with scholars based in United States, United Kingdom and Australia. Robert Kaucic's co-authors include Anthony Hoogs, Andrew Blake, Glen W. Brooksby, A. G. Amitha Perera, J. Kaufhold, Richard Hartley, Paulo R. S. Mendonça, Ricardo S. Avila, Colin McCulloch and Joseph L. Mundy and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Academic Radiology and Journal of Computing and Information Science in Engineering.

In The Last Decade

Robert Kaucic

12 papers receiving 229 citations

Author Peers

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

Author						Papers	Cites
Robert Kaucic	173	56	48	43	36	12	245
Jongbin Ryu	226 1.3×	54 1.0×	35 0.7×	33 0.8×	9 0.3×	25	330
Oh‐Kyu Kwon	215 1.2×	34 0.6×	61 1.3×	28 0.7×	7 0.2×	21	317
Alexander Schick	142 0.8×	32 0.6×	16 0.3×	24 0.6×	16 0.4×	11	231
Marwa Elpeltagy	146 0.8×	108 1.9×	48 1.0×	48 1.1×	10 0.3×	9	311
Youlian Zhu	173 1.0×	60 1.1×	14 0.3×	50 1.2×	10 0.3×	18	318
Hossein Kashiani	172 1.0×	139 2.5×	18 0.4×	100 2.3×	11 0.3×	15	330
Yifan Jiang	97 0.6×	106 1.9×	26 0.5×	118 2.7×	20 0.6×	20	302
Renjie Zheng	100 0.6×	196 3.5×	40 0.8×	16 0.4×	11 0.3×	26	298
Md Amirul Islam	211 1.2×	75 1.3×	18 0.4×	29 0.7×	10 0.3×	15	284
Mete Ahishali	47 0.3×	81 1.4×	36 0.8×	90 2.1×	18 0.5×	17	214

Countries citing papers authored by Robert Kaucic

Since Specialization

Citations

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

Fields of papers citing papers by Robert Kaucic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Kaucic

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