Maxim Grechkin

704 citations
6 papers · 195 indexed · h-index 4
Topics
Gene expression and cancer classification (2 papers)Spreadsheets and End-User Computing (1 paper)Topic Modeling (1 paper)
Journals
PLoS Computational BiologyInfoscience (Ecole Polytechnique Fédérale de Lausanne)Proceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Maxim Grechkin

6 papers receiving 188 citations

Peers

Maxim Grechkin
Comparison fields: 5 of 80
  • Artificial Intelligence 62
  • Molecular Biology 51
  • Information Systems 36
  • Computer Vision and Pattern Recognition 28
  • Software 19
Replace Kang Zhang with:
Kang Zhang Australia
Baolin Li Mexico
Matthew A. Hammer United States
Mingchen Zhao United States
Limin Liu China
Francisco Fernández de Vega Spain
M. Li Canada
Gopinath Chennupati United States
Dror Fried United States
Eduardo César Spain
Maxim Grechkin relative to Kang Zhang Australia Kang Zhang's profile →
Citations per field
00.5×10×14.5×
Kang Zhang · 1×
Citations per year

Countries citing papers authored by Maxim Grechkin

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Grechkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Grechkin

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Grechkin. A scholar is included among the top collaborators of Maxim Grechkin 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 Maxim Grechkin. Maxim Grechkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 93
2 2
3 3
4 28
5 52
6 17

About Maxim Grechkin

Maxim Grechkin is a scholar working on General Social Sciences, Software and Ecological Modeling, having authored 6 papers that have together received 195 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Spreadsheets and End-User Computing (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Software (19 citations), Artificial Intelligence (62 citations) and Information Systems (36 citations). Maxim Grechkin has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Su‐In Lee, Jiří Borovec, Nicki Skafte Detlefsen, Justus Schock, Andrew J. Gentles, Benjamin A. Logsdon, Benjamin G. Zorn, Mikaël Mayer, Rishabh Singh and Vu Le. Their work appears in journals such as PLoS Computational Biology, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Proceedings of the AAAI Conference on Artificial Intelligence.

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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