Vojislav Kecman

55 papers and 1.1k indexed citations i.

About

Vojislav Kecman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Vojislav Kecman has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 9 papers in Molecular Biology. Recurrent topics in Vojislav Kecman’s work include Face and Expression Recognition (17 papers), Neural Networks and Applications (14 papers) and Machine Learning and ELM (7 papers). Vojislav Kecman is often cited by papers focused on Face and Expression Recognition (17 papers), Neural Networks and Applications (14 papers) and Machine Learning and ELM (7 papers). Vojislav Kecman collaborates with scholars based in United States, New Zealand and Australia. Vojislav Kecman's co-authors include Pradeep Bansal, M.W. Browne, Tao Yang, Debes Bhattacharyya, Alberto Cano, Sebastián Ventura, Ivica Kopriva, Zoran Vojinović, Derk J. Swider and Zoran Gajić and has published in prestigious journals such as Automatica, Expert Systems with Applications and Composites Science and Technology.

In The Last Decade

Co-authorship network of co-authors of Vojislav Kecman i

Fields of papers citing papers by Vojislav Kecman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vojislav Kecman

Since Specialization
Citations

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

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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