Kyle Kloster

489 total citations
8 papers, 249 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 249 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), Opinion Dynamics and Social Influence (3 papers) and Bioinformatics and Genomic Networks (3 papers). Kyle Kloster is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (3 papers) and Bioinformatics and Genomic Networks (3 papers). Kyle Kloster collaborates with scholars based in United States and China. Kyle Kloster's co-authors include David F. Gleich, David Bindel, John E. Hopcroft, Yixuan Li, Kun He, Biaobin Jiang, Michael Gribskov, Michael W. Nagle, Casey S. Greene and Daniel Himmelstein 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 244 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kyle Kloster United States	6	168	136	47	42	30	8	249
Brigitte Boden Germany	7	152 0.9×	134 1.0×	59 1.3×	18 0.4×	22 0.7×	11	247
François Théberge Canada	9	113 0.7×	79 0.6×	53 1.1×	34 0.8×	26 0.9×	28	192
Ali Pinar United States	3	148 0.9×	83 0.6×	70 1.5×	13 0.3×	32 1.1×	4	205
Ralitsa Angelova Germany	6	161 1.0×	176 1.3×	36 0.8×	38 0.9×	8 0.3×	8	262
Colin Sandon United States	7	112 0.7×	97 0.7×	33 0.7×	15 0.4×	30 1.0×	11	211
Disha Makhija United States	2	126 0.8×	162 1.2×	42 0.9×	10 0.2×	11 0.4×	2	251
Johannes Klicpera Germany	6	70 0.4×	196 1.4×	15 0.3×	37 0.9×	47 1.6×	9	280
Yon Dourisboure Italy	5	120 0.7×	76 0.6×	64 1.4×	12 0.3×	70 2.3×	5	216
Yan-Li Lee China	9	157 0.9×	174 1.3×	15 0.3×	74 1.8×	12 0.4×	21	261
Cécile Bothorel France	3	121 0.7×	90 0.7×	25 0.5×	18 0.4×	6 0.2×	7	161

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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8 of 8 papers shown

1.

Zietz, Michael, et al.. (2024). The probability of edge existence due to node degree: a baseline for network-based predictions. GigaScience. 13. 8 indexed citations

2.

Himmelstein, Daniel, Michael Zietz, Vincent Rubinetti, et al.. (2022). Hetnet connectivity search provides rapid insights into how biomedical entities are related. GigaScience. 12. 6 indexed citations

3.

Li, Yixuan, Kun He, Kyle Kloster, David Bindel, & John E. Hopcroft. (2018). Local Spectral Clustering for Overlapping Community Detection. ACM Transactions on Knowledge Discovery from Data. 12(2). 1–27. 64 indexed citations

4.

Jiang, Biaobin, Kyle Kloster, David F. Gleich, & Michael Gribskov. (2017). AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs. Bioinformatics. 33(12). 1829–1836. 42 indexed citations

5.

Kloster, Kyle. (2016). Graph diffusions and matrix functions: Fast algorithms and localization results. Purdue e-Pubs (Purdue University System). 1 indexed citations

6.

Gleich, David F. & Kyle Kloster. (2014). Sublinear Column-wise Actions of the Matrix Exponential on Social Networks. Internet Mathematics. 11(4-5). 352–384. 5 indexed citations

7.

Kloster, Kyle & David F. Gleich. (2014). Heat kernel based community detection. 1386–1395. 121 indexed citations

8.

Kloster, Kyle & David F. Gleich. (2013). A Fast Relaxation Method for Computing a Column of the Matrix Exponential of Stochastic Matrices from Large, Sparse Networks.. arXiv (Cornell University). 2 indexed citations

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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