Jacquelyn Martino

28 total papers · 1.3k total citations
13 papers, 588 citations indexed

About

Jacquelyn Martino is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Sociology and Political Science. According to data from OpenAlex, Jacquelyn Martino has authored 13 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Information Systems and 2 papers in Sociology and Political Science. Recurrent topics in Jacquelyn Martino's work include Video Analysis and Summarization (4 papers), Image Retrieval and Classification Techniques (3 papers) and Recommender Systems and Techniques (2 papers). Jacquelyn Martino is often cited by papers focused on Video Analysis and Summarization (4 papers), Image Retrieval and Classification Techniques (3 papers) and Recommender Systems and Techniques (2 papers). Jacquelyn Martino collaborates with scholars based in United States, Finland and Israel. Jacquelyn Martino's co-authors include John T. Richards, Rachel Bellamy, Kalapriya Kannan, Prasanna Sattigeri, Michael Hind, Samuel C. Hoffman, Karthikeyan Natesan Ramamurthy, Diptikalyan Saha, Kush R. Varshney and Kuntal Dey and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IBM Journal of Research and Development and Leonardo.

In The Last Decade

Jacquelyn Martino

12 papers receiving 547 citations

Author Peers

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

Author						Papers	Cites
Jacquelyn Martino	231	228	161	104	81	13	588
Malin Eiband	142 0.6×	248 1.1×	173 1.1×	47 0.5×	74 0.9×	19	633
Shivani Kapania	168 0.7×	230 1.0×	76 0.5×	93 0.9×	13 0.2×	14	593
Philipp Schmidt	72 0.3×	214 0.9×	95 0.6×	29 0.3×	32 0.4×	14	507
Pranay Lohia	344 1.5×	343 1.5×	84 0.5×	40 0.4×	11 0.1×	12	631
Frank Kappe	126 0.5×	206 0.9×	141 0.9×	113 1.1×	39 0.5×	47	531
Owain Evans	132 0.6×	329 1.4×	57 0.4×	42 0.4×	13 0.2×	12	686
Eva Thelisson	49 0.2×	223 1.0×	155 1.0×	44 0.4×	20 0.2×	8	635
James Wexler	86 0.4×	403 1.8×	60 0.4×	210 2.0×	28 0.3×	12	629
Shayak Sen	98 0.4×	406 1.8×	78 0.5×	35 0.3×	27 0.3×	9	575
Stephan Raaijmakers	53 0.2×	309 1.4×	84 0.5×	74 0.7×	26 0.3×	44	509

Countries citing papers authored by Jacquelyn Martino

Since Specialization

Citations

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

Fields of papers citing papers by Jacquelyn Martino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacquelyn Martino

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