David Jacobson

24 total papers · 473 total citations
18 papers, 378 citations indexed

About

David Jacobson is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, David Jacobson has authored 18 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 5 papers in Computer Networks and Communications and 3 papers in Aerospace Engineering. Recurrent topics in David Jacobson's work include Plasma Diagnostics and Applications (17 papers), Electrohydrodynamics and Fluid Dynamics (12 papers) and Magnetic Field Sensors Techniques (6 papers). David Jacobson is often cited by papers focused on Plasma Diagnostics and Applications (17 papers), Electrohydrodynamics and Fluid Dynamics (12 papers) and Magnetic Field Sensors Techniques (6 papers). David Jacobson collaborates with scholars based in United States. David Jacobson's co-authors include David Manzella, Peter Y. Peterson, Robert S. Jankovsky, Richard R. Hofer, Vincent K. Rawlin, Hani Kamhawi, Thomas Haag, Lee S. Mason, Luis Pinero and John M. Sankovic and has published in prestigious journals such as Nuclear Technology, 34th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit and 37th Joint Propulsion Conference and Exhibit.

In The Last Decade

David Jacobson

18 papers receiving 343 citations

Author Peers

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

Author						Papers	Cites
David Jacobson	356	66	42	40	34	18	378
Alex Mathers	356 1.0×	33 0.5×	29 0.7×	46 1.1×	43 1.3×	14	372
Rohit Shastry	372 1.0×	33 0.5×	30 0.7×	90 2.3×	37 1.1×	38	400
Vadim Khayms	376 1.1×	24 0.4×	29 0.7×	48 1.2×	33 1.0×	24	398
Hezhi Sun	332 0.9×	17 0.3×	41 1.0×	48 1.2×	13 0.4×	28	373
Colleen Marrese	382 1.1×	29 0.4×	26 0.6×	98 2.5×	50 1.5×	31	434
Frank S. Gulczinski	379 1.1×	23 0.3×	34 0.8×	79 2.0×	68 2.0×	21	410
Michael McDonald	307 0.9×	26 0.4×	22 0.5×	58 1.4×	56 1.6×	27	366
Bruce Pote	311 0.9×	43 0.7×	27 0.6×	63 1.6×	42 1.2×	21	358
G. N. Tilinin	292 0.8×	21 0.3×	21 0.5×	53 1.3×	19 0.6×	14	338
C. Eichenberger	294 0.8×	21 0.3×	17 0.4×	85 2.1×	14 0.4×	17	400

Countries citing papers authored by David Jacobson

Since Specialization

Citations

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

Fields of papers citing papers by David Jacobson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Jacobson

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