Milan Šulc

48 total papers · 521 total citations
14 papers, 184 citations indexed

About

Milan Šulc is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Milan Šulc has authored 14 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Analytical Chemistry. Recurrent topics in Milan Šulc's work include Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Milan Šulc is often cited by papers focused on Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Milan Šulc collaborates with scholars based in Czechia, Denmark and Switzerland. Milan Šulc's co-authors include Jiřı́ Matas, Lukáš Picek, Thomas Stjernegaard Jeppesen, Jacob Heilmann‐Clausen, Yash Patel, Dmytro Mishkin, Alexis Joly, Tobias Guldberg Frøslev, Mario Lasseck and Hervé Goëau and has published in prestigious journals such as Sensors, Frontiers in Plant Science and Plant Methods.

In The Last Decade

Milan Šulc

13 papers receiving 178 citations

Author Peers

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

Author Last Decade Papers Cites
Milan Šulc 112 44 37 28 27 14 184
Lukáš Picek 52 0.5× 17 0.4× 18 0.5× 20 0.7× 22 0.8× 20 136
Roque Mario Craviotto 198 1.8× 59 1.3× 59 1.6× 13 0.5× 2 0.1× 17 270
Éric Platon 160 1.4× 70 1.6× 20 0.5× 16 0.6× 9 0.3× 12 264
Mario Lasseck 23 0.2× 58 1.3× 10 0.3× 5 0.2× 36 1.3× 13 169
Étienne David 185 1.7× 107 2.4× 59 1.6× 5 0.2× 11 0.4× 8 228
Nitin Rai 217 1.9× 57 1.3× 30 0.8× 2 0.1× 5 0.2× 13 265
Aditya Rajbongshi 165 1.5× 14 0.3× 64 1.7× 26 0.9× 3 0.1× 21 277
Guy Coleman 253 2.3× 71 1.6× 32 0.9× 6 0.2× 6 0.2× 14 279
Nicolás Morales 126 1.1× 81 1.8× 31 0.8× 3 0.1× 4 0.1× 20 221
Billy G. Ram 160 1.4× 52 1.2× 89 2.4× 2 0.1× 4 0.1× 13 253

Countries citing papers authored by Milan Šulc

Since Specialization
Citations

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

Fields of papers citing papers by Milan Šulc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Šulc

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Šulc. A scholar is included among the top collaborators of Milan Šulc 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 Milan Šulc. Milan Šulc 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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2026