Jeremy Archuleta

18 total papers · 472 total citations
13 papers, 315 citations indexed

About

Jeremy Archuleta is a scholar working on Computer Networks and Communications, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jeremy Archuleta has authored 13 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 6 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Jeremy Archuleta's work include Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (5 papers) and Distributed and Parallel Computing Systems (4 papers). Jeremy Archuleta is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (5 papers) and Distributed and Parallel Computing Systems (4 papers). Jeremy Archuleta collaborates with scholars based in United States. Jeremy Archuleta's co-authors include Wu-chun Feng, Heshan Lin, Mark K. Gardner, Xiaosong Ma, Andrew Warren, Chung‐Hsing Hsu, João Carlos Setúbal, Zhe Zhang, Yong Cao and Tom Scogland and has published in prestigious journals such as BMC Bioinformatics, International Journal of Parallel Programming and Conference proceedings.

In The Last Decade

Jeremy Archuleta

13 papers receiving 297 citations

Author Peers

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

Author Last Decade Papers Cites
Jeremy Archuleta 187 153 90 76 41 13 315
Frank C. Lin 227 1.2× 80 0.5× 61 0.7× 134 1.8× 25 0.6× 14 334
Christos Kozanitis 141 0.8× 45 0.3× 185 2.1× 71 0.9× 167 4.1× 22 359
Jonathan Dorn 84 0.4× 138 0.9× 37 0.4× 85 1.1× 45 1.1× 12 288
Mehul Nalin Vora 114 0.6× 103 0.7× 45 0.5× 7 0.1× 40 1.0× 13 327
Tyler Hunt 185 1.0× 162 1.1× 23 0.3× 114 1.5× 196 4.8× 8 362
Ian Stokes-Rees 141 0.8× 93 0.6× 46 0.5× 25 0.3× 8 0.2× 13 217
Jason Hennessey 64 0.3× 177 1.2× 36 0.4× 11 0.1× 98 2.4× 12 273
Ye Yu 193 1.0× 86 0.6× 43 0.5× 45 0.6× 53 1.3× 21 274
Benjamin Dowling 147 0.8× 105 0.7× 88 1.0× 10 0.1× 132 3.2× 18 317
Can Fırtına 78 0.4× 15 0.1× 224 2.5× 50 0.7× 114 2.8× 25 337

Countries citing papers authored by Jeremy Archuleta

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Archuleta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Archuleta

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