Cash Costello

22 total papers · 413 total citations
10 papers, 144 citations indexed

About

Cash Costello is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Cash Costello has authored 10 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Management Science and Operations Research. Recurrent topics in Cash Costello's work include Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Video Surveillance and Tracking Methods (2 papers). Cash Costello is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Video Surveillance and Tracking Methods (2 papers). Cash Costello collaborates with scholars based in United States and Japan. Cash Costello's co-authors include Christopher Diehl, Amit Banerjee, James Mayfield, Paul McNamee, I-Jeng Wang, Christine Piatko, Amit Banerjee, Boliang Zhang, Heng Ji and Xiaoman Pan and has published in prestigious journals such as Language Resources and Evaluation, Computational and Mathematical Organization Theory and Theory and applications of categories.

In The Last Decade

Cash Costello

10 papers receiving 131 citations

Author Peers

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

Author						Papers	Cites
Cash Costello	77	73	21	19	13	10	144
Jin Chen	113 1.5×	177 2.4×	17 0.8×	17 0.9×	9 0.7×	15	251
Théophile Gervet	84 1.1×	57 0.8×	24 1.1×	12 0.6×	9 0.7×	7	138
Jian Sun	56 0.7×	174 2.4×	50 2.4×	10 0.5×	7 0.5×	16	218
Michele Trevisiol	60 0.8×	153 2.1×	12 0.6×	55 2.9×	8 0.6×	9	228
Nicholay Topin	83 1.1×	24 0.3×	10 0.5×	6 0.3×	10 0.8×	9	138
Jiawang Bai	61 0.8×	31 0.4×	4 0.2×	11 0.6×	12 0.9×	9	129
Stanislau Semeniuta	103 1.3×	84 1.2×	4 0.2×	11 0.6×	8 0.6×	7	187
David Tolpin	82 1.1×	53 0.7×	7 0.3×	5 0.3×	32 2.5×	10	129
Ximeng Sun	54 0.7×	83 1.1×	4 0.2×	11 0.6×	16 1.2×	11	138
Fernando E. Casado	109 1.4×	33 0.5×	10 0.5×	10 0.5×	32 2.5×	10	166

Countries citing papers authored by Cash Costello

Since Specialization

Citations

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

Fields of papers citing papers by Cash Costello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cash Costello

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