Joseph M. Lancaster

28 total papers · 705 total citations
23 papers, 491 citations indexed

About

Joseph M. Lancaster is a scholar working on Molecular Biology, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Joseph M. Lancaster has authored 23 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Hardware and Architecture and 8 papers in Artificial Intelligence. Recurrent topics in Joseph M. Lancaster's work include Parallel Computing and Optimization Techniques (7 papers), Algorithms and Data Compression (7 papers) and Embedded Systems Design Techniques (6 papers). Joseph M. Lancaster is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Algorithms and Data Compression (7 papers) and Embedded Systems Design Techniques (6 papers). Joseph M. Lancaster collaborates with scholars based in United States and Australia. Joseph M. Lancaster's co-authors include Roger D. Chamberlain, Jeremy Buhler, Arpith C. Jacob, S. Douglass Gilman, Stephen Johnston, Gregory D. Peterson, James M. McCollum, Praveen Thaggikuppe Krishnamurthy, John Williams and Ron K. Cytron and has published in prestigious journals such as Analytical Chemistry, Parallel Computing and OMICS A Journal of Integrative Biology.

In The Last Decade

Joseph M. Lancaster

23 papers receiving 450 citations

Author Peers

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

Author Last Decade Papers Cites
Joseph M. Lancaster 247 163 121 110 85 23 491
Damla Senol Cali 273 1.1× 149 0.9× 142 1.2× 146 1.3× 25 0.3× 18 509
Yongfeng Gu 101 0.4× 110 0.7× 189 1.6× 112 1.0× 38 0.4× 30 417
Saurabh Joshi 201 0.8× 32 0.2× 51 0.4× 110 1.0× 24 0.3× 32 432
Tom VanCourt 92 0.4× 109 0.7× 228 1.9× 107 1.0× 38 0.4× 16 405
S.C. Kothari 113 0.5× 179 1.1× 35 0.3× 110 1.0× 21 0.2× 44 526
Bharat Sukhwani 110 0.4× 147 0.9× 240 2.0× 237 2.2× 17 0.2× 20 474
Lior Almagor 271 1.1× 66 0.4× 131 1.1× 44 0.4× 7 0.1× 18 461
Tamás Szabó 107 0.4× 85 0.5× 43 0.4× 65 0.6× 11 0.1× 39 502
Mengquan Li 111 0.4× 30 0.2× 147 1.2× 164 1.5× 17 0.2× 39 404
Tung Thanh Hoang 166 0.7× 42 0.3× 100 0.8× 53 0.5× 24 0.3× 43 436

Countries citing papers authored by Joseph M. Lancaster

Since Specialization
Citations

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

Fields of papers citing papers by Joseph M. Lancaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph M. Lancaster. 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 Joseph M. Lancaster. The network helps show where Joseph M. Lancaster may publish in the future.

Co-authorship network of co-authors of Joseph M. Lancaster

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph M. Lancaster. A scholar is included among the top collaborators of Joseph M. Lancaster 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 Joseph M. Lancaster. Joseph M. Lancaster 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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2026