Nicholas S. Flann

82 total papers · 1.3k total citations
57 papers, 740 citations indexed

About

Nicholas S. Flann is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Nicholas S. Flann has authored 57 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Artificial Intelligence. Recurrent topics in Nicholas S. Flann's work include Robotic Path Planning Algorithms (11 papers), Gene Regulatory Network Analysis (7 papers) and Modular Robots and Swarm Intelligence (6 papers). Nicholas S. Flann is often cited by papers focused on Robotic Path Planning Algorithms (11 papers), Gene Regulatory Network Analysis (7 papers) and Modular Robots and Swarm Intelligence (6 papers). Nicholas S. Flann collaborates with scholars based in United States, Iran and South Korea. Nicholas S. Flann's co-authors include Thomas G. Dietterich, Kevin L. Moore, Gregory J. Podgorski, Daniel W. Watson, Ahmadreza Ghaffarizadeh, Ilya Shmulevich, Jason McDermott, Simon Kahan, Arthur W. Mahoney and Nathaniel A. Ferlic and has published in prestigious journals such as Bioinformatics, PLoS ONE and Frontiers in Microbiology.

In The Last Decade

Nicholas S. Flann

54 papers receiving 692 citations

Author Peers

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

Author Last Decade Papers Cites
Nicholas S. Flann 212 160 131 124 115 57 740
Camelia Chira 258 1.2× 95 0.6× 121 0.9× 177 1.4× 56 0.5× 78 802
Cheng Zhong 154 0.7× 152 0.9× 52 0.4× 167 1.3× 43 0.4× 97 773
Weijun Wang 78 0.4× 82 0.5× 77 0.6× 209 1.7× 105 0.9× 76 653
Yang Wang 289 1.4× 121 0.8× 146 1.1× 59 0.5× 45 0.4× 41 847
Sean Walton 287 1.4× 68 0.4× 56 0.4× 156 1.3× 75 0.7× 24 844
T.H. Lee 296 1.4× 97 0.6× 54 0.4× 123 1.0× 97 0.8× 47 737
Bin Zhang 150 0.7× 135 0.8× 40 0.3× 154 1.2× 147 1.3× 56 739
Jihoon Lee 115 0.5× 83 0.5× 108 0.8× 42 0.3× 224 1.9× 60 829
Asim Munawar 250 1.2× 42 0.3× 97 0.7× 156 1.3× 181 1.6× 62 696
Pavan Chakraborty 90 0.4× 100 0.6× 203 1.5× 338 2.7× 96 0.8× 65 852

Countries citing papers authored by Nicholas S. Flann

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas S. Flann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas S. Flann. 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 Nicholas S. Flann. The network helps show where Nicholas S. Flann may publish in the future.

Co-authorship network of co-authors of Nicholas S. Flann

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas S. Flann. A scholar is included among the top collaborators of Nicholas S. Flann 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 Nicholas S. Flann. Nicholas S. Flann 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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