Dan Kondratyuk

17 total papers · 625 total citations
4 papers, 289 citations indexed

About

Dan Kondratyuk is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Dan Kondratyuk has authored 4 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Endocrinology, Diabetes and Metabolism. Recurrent topics in Dan Kondratyuk's work include Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers) and Advanced Text Analysis Techniques (1 paper). Dan Kondratyuk is often cited by papers focused on Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers) and Advanced Text Analysis Techniques (1 paper). Dan Kondratyuk collaborates with scholars based in United States, Germany and Czechia. Dan Kondratyuk's co-authors include Milan Straka, Mingxing Tan, Yandong Li, Matthew A. Brown, Liangzhe Yuan, Li Zhang, Boqing Gong and Casey Kennington and has published in prestigious journals such as Scholar Works (Boise State University).

In The Last Decade

Dan Kondratyuk

4 papers receiving 268 citations

Author Peers

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

Author						Papers	Cites
Dan Kondratyuk	206	131	22	12	10	4	289
Diane Bouchacourt	126 0.6×	106 0.8×	6 0.3×	11 0.9×	16 1.6×	6	193
Ming Shao	133 0.6×	265 2.0×	48 2.2×	27 2.3×	9 0.9×	7	319
Yicong Tian	116 0.6×	261 2.0×	31 1.4×	16 1.3×	8 0.8×	4	275
Xuanchong Li	131 0.6×	237 1.8×	48 2.2×	18 1.5×	13 1.3×	10	268
Vivek Sharma	117 0.6×	189 1.4×	55 2.5×	24 2.0×	8 0.8×	9	238
Shanchuan Lin	75 0.4×	216 1.6×	9 0.4×	7 0.6×	15 1.5×	5	308
Peter Jin	130 0.6×	221 1.7×	21 1.0×	6 0.5×	23 2.3×	5	294
Veenu Rani	61 0.3×	53 0.4×	49 2.2×	9 0.8×	10 1.0×	8	175
Chien-Yi Chang	156 0.8×	209 1.6×	56 2.5×	12 1.0×	17 1.7×	6	263
Sandra Ebert	164 0.8×	194 1.5×	30 1.4×	14 1.2×	19 1.9×	3	284

Countries citing papers authored by Dan Kondratyuk

Since Specialization

Citations

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

Fields of papers citing papers by Dan Kondratyuk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Kondratyuk

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