Kyle Kloster

33 total papers · 486 total citations
8 papers, 245 citations indexed

About

Kyle Kloster is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Kyle Kloster has authored 8 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 3 papers in Molecular Biology. Recurrent topics in Kyle Kloster's work include Complex Network Analysis Techniques (4 papers), Bioinformatics and Genomic Networks (3 papers) and Opinion Dynamics and Social Influence (3 papers). Kyle Kloster is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Bioinformatics and Genomic Networks (3 papers) and Opinion Dynamics and Social Influence (3 papers). Kyle Kloster collaborates with scholars based in United States and China. Kyle Kloster's co-authors include David F. Gleich, John E. Hopcroft, David Bindel, Kun He, Yixuan Li, Michael Gribskov, Biaobin Jiang, Michael Zietz, Daniel Himmelstein and Michael W. Nagle and has published in prestigious journals such as Bioinformatics, GigaScience and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Kyle Kloster

8 papers receiving 240 citations

Author Peers

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

Author						Papers	Cites
Kyle Kloster	168	134	46	41	29	8	245
Matthew J. Rattigan	161 1.0×	138 1.0×	81 1.8×	24 0.6×	34 1.2×	15	261
Xiaodong Li	174 1.0×	88 0.7×	95 2.1×	17 0.4×	44 1.5×	10	263
Brigitte Boden	153 0.9×	134 1.0×	60 1.3×	18 0.4×	49 1.7×	11	248
Ali Pinar	147 0.9×	82 0.6×	70 1.5×	13 0.3×	42 1.4×	4	203
Mehrnoush Mohammadi	145 0.9×	158 1.2×	48 1.0×	25 0.6×	67 2.3×	12	271
Alcides Viamontes Esquivel	186 1.1×	49 0.4×	38 0.8×	33 0.8×	13 0.4×	6	256
Maria A. Tsiarli	113 0.7×	96 0.7×	60 1.3×	55 1.3×	49 1.7×	7	271
Ralitsa Angelova	161 1.0×	176 1.3×	36 0.8×	38 0.9×	27 0.9×	8	260
Timothy La Fond	160 1.0×	123 0.9×	38 0.8×	27 0.7×	19 0.7×	7	243
Evgenios M. Kornaropoulos	107 0.6×	104 0.8×	65 1.4×	11 0.3×	42 1.4×	13	211

Countries citing papers authored by Kyle Kloster

Since Specialization

Citations

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

Fields of papers citing papers by Kyle Kloster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Kloster

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