Jeff Johnson

1.8k total citations · 1 hit paper
10 papers, 620 citations indexed

About

Jeff Johnson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jeff Johnson has authored 10 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Jeff Johnson's work include Geochemistry and Geologic Mapping (2 papers), Autophagy in Disease and Therapy (1 paper) and Cryptography and Data Security (1 paper). Jeff Johnson is often cited by papers focused on Geochemistry and Geologic Mapping (2 papers), Autophagy in Disease and Therapy (1 paper) and Cryptography and Data Security (1 paper). Jeff Johnson collaborates with scholars based in United States, Austria and South Korea. Jeff Johnson's co-authors include John R. Yates, Michael J. MacCoss, Daniel Cociorva, W. Hayes McDonald, Rovshan G. Sadygov, John D. Venable, David L. Tabb, Johannes Graumann, Laurence Florens and Martin Fraunholz and has published in prestigious journals such as PLoS Pathogens, PROTEOMICS and Rapid Communications in Mass Spectrometry.

In The Last Decade

Jeff Johnson

10 papers receiving 618 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Faiss Library

2025 33 citations Matthijs Douze, Chengqi Deng et al. IEEE Transactions on Big Data profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jeff Johnson United States	7	301	206	124	122	69	10	620
Oliver M. Crook United Kingdom	13	400 1.3×	209 1.0×	202 1.6×	136 1.1×	145 2.1×	26	720
Pierre M. Jean Beltran United States	13	339 1.1×	57 0.3×	80 0.6×	240 2.0×	87 1.3×	17	659
Hayley M. Bennett United Kingdom	10	310 1.0×	137 0.7×	42 0.3×	38 0.3×	17 0.2×	15	656
Julie Nixon United States	7	949 3.2×	223 1.1×	34 0.3×	59 0.5×	45 0.7×	7	1.2k
Ian T. Foe United States	12	300 1.0×	79 0.4×	11 0.1×	95 0.8×	90 1.3×	15	517
E. Olof Karlberg Sweden	7	956 3.2×	152 0.7×	36 0.3×	40 0.3×	45 0.7×	7	1.3k
Irene Chau Canada	13	663 2.2×	71 0.3×	12 0.1×	71 0.6×	51 0.7×	21	917
Gourav Dey India	13	186 0.6×	30 0.1×	33 0.3×	55 0.5×	17 0.2×	36	520
Ulrike Göbel Germany	13	1.1k 3.6×	137 0.7×	28 0.2×	25 0.2×	41 0.6×	18	1.5k
Judith M. Sneider United States	11	296 1.0×	54 0.3×	18 0.1×	49 0.4×	95 1.4×	11	668

Countries citing papers authored by Jeff Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Johnson. A scholar is included among the top collaborators of Jeff Johnson 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 Jeff Johnson. Jeff Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Douze, Matthijs, Chengqi Deng, Jeff Johnson, et al.. (2025). The Faiss Library. IEEE Transactions on Big Data. 12(2). 346–361. 33 indexed citations breakdown →

2.

Sun, Fei, Bilge Acun, Zachary DeVito, et al.. (2024). Generative AI Beyond LLMs: System Implications of Multi-Modal Generation. 257–267. 7 indexed citations

3.

Lam, Maximilian, Jeff Johnson, Wenjie Xiong, et al.. (2024). GPU-based Private Information Retrieval for On-Device Machine Learning Inference. VTechWorks (Virginia Tech). 197–214. 4 indexed citations

4.

Douze, Matthijs, Hervé Jeǵou, & Jeff Johnson. (2017). An Evaluation of Large-scale Methods for Image Instance and Class Discovery. 1–9. 2 indexed citations

5.

Patra, Kailash P., Jeff Johnson, Greg Cantin, John R. Yates, & Joseph M. Vinetz. (2008). Proteomic analysis of zygote and ookinete stages of the avian malaria parasite Plasmodium gallinaceum delineates the homologous proteomes of the lethal human malaria parasite Plasmodium falciparum. PROTEOMICS. 8(12). 2492–2499. 30 indexed citations

6.

Hu, Ke, Jeff Johnson, Laurence Florens, et al.. (2006). Cytoskeletal Components of an Invasion Machine—The Apical Complex of Toxoplasma gondii. PLoS Pathogens. 2(2). e13–e13. 219 indexed citations

7.

Staid, M., Jeff Johnson, & L. R. Gaddis. (2004). Analysis of Mars Thermal Emission Spectrometer Data Using Large Mineral Reference Libraries. LPI. 1778. 10 indexed citations

8.

McDonald, W. Hayes, David L. Tabb, Rovshan G. Sadygov, et al.. (2004). MS1, MS2, and SQT—three unified, compact, and easily parsed file formats for the storage of shotgun proteomic spectra and identifications. Rapid Communications in Mass Spectrometry. 18(18). 2162–2168. 306 indexed citations

9.

Gaddis, L. R., M. Staid, Jeff Johnson, & T. N. Titus. (2003). Mineral Mapping in Valles Marineris, Mars: A New Approach to Spectral Demixing of TES Data. LPI. 1956. 2 indexed citations

10.

Johnson, Jeff, et al.. (2002). Efficient multiprecision floating point multiplication with optimal directional rounding. 228–233. 7 indexed citations

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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