Jennifer Davis

43 total papers · 693 total citations
36 papers, 487 citations indexed

About

Jennifer Davis is a scholar working on Biomedical Engineering, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Jennifer Davis has authored 36 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 7 papers in Artificial Intelligence and 6 papers in General Health Professions. Recurrent topics in Jennifer Davis's work include Artificial Immune Systems Applications (15 papers), Anomaly Detection Techniques and Applications (5 papers) and Viral-associated cancers and disorders (4 papers). Jennifer Davis is often cited by papers focused on Artificial Immune Systems Applications (15 papers), Anomaly Detection Techniques and Applications (5 papers) and Viral-associated cancers and disorders (4 papers). Jennifer Davis collaborates with scholars based in United States and Italy. Jennifer Davis's co-authors include Mario Perhinschi, Hever Moncayo, David T. Scadden, Christian Brander, Todd J. Suscovich, Leah M. Henry, Tonia Woodberry, Bruce D. Walker, Frederick Wang and Nicole Frahm and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Infectious Diseases.

In The Last Decade

Jennifer Davis

33 papers receiving 461 citations

Author Peers

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

Author						Papers	Cites
Jennifer Davis	173	110	100	91	74	36	487
Tobias Wagner	137 0.8×	13 0.1×	66 0.7×	72 0.8×	56 0.8×	34	449
Hyejeong Hong	35 0.2×	219 2.0×	49 0.5×	7 0.1×	12 0.2×	34	493
Wenshuo Liu	15 0.1×	68 0.6×	52 0.5×	128 1.4×	6 0.1×	31	540
Alexander L. Hornung	94 0.5×	34 0.3×	9 0.1×	8 0.1×	11 0.1×	38	437
Jiman Kim	73 0.4×	20 0.2×	19 0.2×	17 0.2×	2 0.0×	57	519
Eisuke Hanada	168 1.0×	14 0.1×	17 0.2×	13 0.1×	4 0.1×	68	416
Seema Chaudhary	16 0.1×	20 0.2×	59 0.6×	84 0.9×	80 1.1×	53	459
J. Peter Harris	46 0.3×	44 0.4×	131 1.3×	4 0.0×	2 0.0×	37	534
Mahmud Hasan	14 0.1×	14 0.1×	55 0.6×	11 0.1×	35 0.5×	54	552
Robert Navarro	11 0.1×	52 0.5×	51 0.5×	63 0.7×	36 0.5×	39	549

Countries citing papers authored by Jennifer Davis

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Davis

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